{"meta":{"query_hash":"374eb313bf42","filters":{"venue":"Climatic Change"},"cohort_total":338,"direct_labels_cover":0,"predictions_cover":338,"exported":338,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/374eb313bf42","api":"https://metacan.xera.ac/api/v1/cohort?venue=Climatic+Change"},"results":[{"id":"W1150380472","doi":"10.1007/s10584-015-1461-8","title":"A global assessment of the carbon cycle and temperature responses to major changes in future fire regime","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of British Columbia; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; University of Victoria","keywords":"Environmental science; Radiative forcing; Atmospheric sciences; Carbon cycle; Albedo (alchemy); Greenhouse gas; Climatology; Vegetation (pathology); Climate change; Global warming; Global temperature; Climate model; Deforestation (computer science); Aerosol; Ecosystem; Meteorology; Geography; Ecology; Geology","score_opus":0.017806449674637948,"score_gpt":0.2715438190623252,"score_spread":0.25373736938768726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1150380472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981884,0.0004950076,0.005062129,0.00053523347,0.00003557813,0.000030549556,0.0065060486,0.00012325618,0.005328164],"genre_scores_gemma":[0.992547,0.00027140454,0.0038638315,0.0000592349,0.000016307426,0.000018103774,0.0025275184,0.000028648934,0.0006679018],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998783,0.000038656417,0.000009425823,0.000030995612,0.000024383691,0.000018243618],"domain_scores_gemma":[0.99962974,0.00009014826,0.000075037984,0.000057257585,0.000074561474,0.00007322797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007803954,0.0006682872,0.0002943363,0.0008896738,0.00023989285,0.0005945584,0.00024612114,0.0005238611,0.0014464918],"category_scores_gemma":[0.0010241893,0.00021701572,0.00054148724,0.0012796804,0.00023529863,0.0011662913,0.00065001036,0.00033698333,0.00017305634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012546733,0.0003421035,0.48316187,0.00027519293,0.0012534253,0.00039008664,0.00015810825,0.3870668,0.017673105,0.0032735867,0.0052155326,0.09993553],"study_design_scores_gemma":[0.00010699136,0.00036418345,0.81437296,0.000043508004,0.00035886196,0.00014161621,0.00033417201,0.16962445,0.0030757843,0.0045112926,0.006992516,0.00007369808],"about_ca_topic_score_codex":0.013226655,"about_ca_topic_score_gemma":0.029078085,"teacher_disagreement_score":0.013226655,"about_ca_system_score_codex":0.0006170054,"about_ca_system_score_gemma":0.0006656944,"threshold_uncertainty_score":0.026299357},"labels":[],"label_agreement":null},{"id":"W1235845088","doi":"10.1007/s10584-015-1499-7","title":"Causes of drying trends in northern hemispheric land areas in reconstructed soil moisture data","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Office of the Dean for Research, Princeton University; University of Exeter; Princeton University; Montana State University; U.S. Department of Energy","keywords":"Environmental science; Forcing (mathematics); Water content; Moisture; Climate model; Climatology; Atmospheric sciences; Climate change; Meteorology; Geology; Geography","score_opus":0.1428806489248718,"score_gpt":0.29649414311862987,"score_spread":0.15361349419375808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1235845088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99773777,0.00009709697,0.00065124076,0.00005737563,0.000004467006,0.0000026578512,0.0011006002,0.0000666162,0.00028216693],"genre_scores_gemma":[0.99857044,0.000047589238,0.00023085202,0.000010691615,0.0000017180105,0.0000023652017,0.0010729991,0.000008588561,0.000054735923],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997973,0.000059741385,0.000021117909,0.000071790375,0.0000251195,0.000025012954],"domain_scores_gemma":[0.9996232,0.00009342513,0.00011596758,0.00008276005,0.00004990606,0.000034691573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082994305,0.00022267755,0.00019947335,0.0004937231,0.00019083082,0.0004314361,0.00025635498,0.00027788282,0.00069351855],"category_scores_gemma":[0.0013412219,0.00018274886,0.000514017,0.0008956011,0.0002738271,0.0002800972,0.00029401798,0.00020507025,0.000115771974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016028188,0.00003519227,0.8707108,0.00004679649,0.0002944026,0.00013609954,0.00015901666,0.113458104,0.0044112764,0.00059188897,0.00081886305,0.009177297],"study_design_scores_gemma":[0.000030769686,0.000022023642,0.86778617,0.000016453265,0.0000632483,0.00007826966,0.0001163363,0.128581,0.0019189242,0.0004175724,0.0009485611,0.00002068127],"about_ca_topic_score_codex":0.019145148,"about_ca_topic_score_gemma":0.018097298,"teacher_disagreement_score":0.019145148,"about_ca_system_score_codex":0.00053631526,"about_ca_system_score_gemma":0.00027657422,"threshold_uncertainty_score":0.03806746},"labels":[],"label_agreement":null},{"id":"W1246857062","doi":"10.1007/s10584-015-1479-y","title":"Climate change impacts on streamflow availability for the Athabasca Oil Sands","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Environmental science; Oil sands; Climate change; Global warming; Hydrology (agriculture); Greenhouse gas; Drainage basin; Asphalt; Geology; Oceanography; Geography","score_opus":0.06637644097796007,"score_gpt":0.2685544073293062,"score_spread":0.2021779663513461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1246857062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976635,0.00001515173,0.000031176533,0.00015714751,0.0000023499338,0.0000015434982,0.0009597596,0.000013865053,0.0011555711],"genre_scores_gemma":[0.99915993,0.000016761403,0.000044330638,0.000013201259,0.0000014461012,0.000001477461,0.00031351825,0.0000030601032,0.0004463378],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999923,0.0000100156185,0.0000046541522,0.00001312767,0.000018611727,0.00003066899],"domain_scores_gemma":[0.99979395,0.00003253218,0.000052494343,0.000013914618,0.000051481904,0.000055690543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001270497,0.00012950518,0.00012021933,0.00035903804,0.00039157673,0.000520686,0.00023829166,0.0002069812,0.0018462314],"category_scores_gemma":[0.00040429874,0.000072838215,0.0002387984,0.00056482997,0.00019093676,0.00034183756,0.00029333815,0.00019796475,0.00011283202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011161042,0.00027374132,0.92951596,0.00006674001,0.00021279891,0.0011537002,0.00048622413,0.030261356,0.012415748,0.0013508456,0.0044787964,0.01866801],"study_design_scores_gemma":[0.000021600436,0.000028142527,0.9824639,0.000005344938,0.00003303302,0.00005895769,0.00065892254,0.01425875,0.0008516221,0.00012443037,0.0014773845,0.000018001274],"about_ca_topic_score_codex":0.47773293,"about_ca_topic_score_gemma":0.7060726,"teacher_disagreement_score":0.5222671,"about_ca_system_score_codex":0.0019248155,"about_ca_system_score_gemma":0.0010460812,"threshold_uncertainty_score":0.94990444},"labels":[],"label_agreement":null},{"id":"W141466286","doi":"10.1023/a:1010614216256","title":"Physiologic Plasticity, Evolution, and Impacts of a Changing Climate on Pinus Contorta","year":2001,"lang":"en","type":"article","venue":"Climatic Change","topic":"Forest ecology and management","field":"Environmental Science","cited_by":177,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Productivity; Hectare; Climate change; Term (time); Pinus contorta; Environmental science; Stocking; Global warming; Ecology; Geography; Biology; Economics; Forestry; Physics","score_opus":0.024259495000920527,"score_gpt":0.24584485533306982,"score_spread":0.2215853603321493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W141466286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999423,0.000093707014,0.000039092636,0.00002148018,0.0000014951934,0.0000017871552,0.0000361033,0.0000032078724,0.00038010947],"genre_scores_gemma":[0.9996952,0.000048793077,0.000024820476,0.0000107578035,0.0000018441028,0.0000024319836,0.00003636136,0.0000018790654,0.00017802906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993384,0.000018392884,0.0000034437605,0.00002070359,0.000009417954,0.000014136582],"domain_scores_gemma":[0.99983513,0.00003926553,0.00004861193,0.000011319867,0.000014473388,0.000051218743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121480705,0.00020618741,0.00009594537,0.0005372831,0.0002746434,0.0002605583,0.00022476327,0.00022581193,0.001087934],"category_scores_gemma":[0.0003149513,0.00011941397,0.00009547963,0.00025226249,0.0003216324,0.0002503834,0.00035864976,0.00022990137,0.00009856148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013549827,0.0005024761,0.48407745,0.00011593291,0.00016551182,0.0011429687,0.0009580999,0.0028207938,0.46788007,0.00097576063,0.00046401698,0.039542068],"study_design_scores_gemma":[0.0000025940292,0.000059169924,0.9981067,0.0000015097485,0.000009090997,0.00016108707,0.00008062603,0.00048078716,0.0008829617,0.00008764494,0.00012333506,0.00000442033],"about_ca_topic_score_codex":0.0040144552,"about_ca_topic_score_gemma":0.00784458,"teacher_disagreement_score":0.0040144552,"about_ca_system_score_codex":0.00034199402,"about_ca_system_score_gemma":0.00012273238,"threshold_uncertainty_score":0.007982194},"labels":[],"label_agreement":null},{"id":"W1487865370","doi":"10.1023/a:1020269007045","title":"Challenges in the Application of Existing Process-Based Models to Predict the Effect of Climate Change on C Pools in Forest Ecosystems","year":2002,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Lakehead University","funders":"Ministry of Natural Resources","keywords":"Black spruce; Climate change; Environmental science; Taiga; Ecosystem; Forest ecology; Forest management; Productivity; Climate model; Ecology; Atmospheric sciences; Climatology; Agroforestry; Biology; Economics","score_opus":0.1886756691173062,"score_gpt":0.2987136535286208,"score_spread":0.11003798441131457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487865370","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19625819,0.0059374813,0.7274759,0.047360282,0.0013685776,0.00057078124,0.0017822504,0.003612752,0.015633829],"genre_scores_gemma":[0.80500835,0.0046606255,0.18381976,0.0018239787,0.00082625274,0.0005697309,0.0008164412,0.00025652812,0.0022182933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970071,0.0016031881,0.00027256977,0.0004728203,0.000521362,0.00012295667],"domain_scores_gemma":[0.979818,0.014403949,0.000740192,0.0014874145,0.0030182023,0.00053226395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014506184,0.0013248614,0.0018326577,0.00058611896,0.0014524561,0.005082643,0.0045162817,0.0039895694,0.0021701842],"category_scores_gemma":[0.035173405,0.0009991851,0.0015501073,0.0008492816,0.002183993,0.005441561,0.0022507152,0.0041473582,0.0013271631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009506459,0.00022909792,0.0059502358,0.0003479375,0.00029502754,0.0000981443,0.00016497307,0.9418064,0.0016205352,0.013057292,0.0017840659,0.034551263],"study_design_scores_gemma":[0.00004580445,0.00006214737,0.0007446487,0.000052320353,0.000046669662,0.000032692784,0.00016082809,0.977187,0.000397,0.01831914,0.0029129137,0.000038791222],"about_ca_topic_score_codex":0.034312896,"about_ca_topic_score_gemma":0.026726443,"teacher_disagreement_score":0.034312896,"about_ca_system_score_codex":0.0019614075,"about_ca_system_score_gemma":0.004545156,"threshold_uncertainty_score":0.0767169},"labels":[],"label_agreement":null},{"id":"W1491786939","doi":"10.1023/a:1022825915791","title":"The Implications of Climate Change on Floods of the Ganges, Brahmaputra and Meghna Rivers in Bangladesh","year":2003,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":247,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact; University of Toronto; Environment and Climate Change Canada","funders":"Lawrence Livermore National Laboratory; University of East Anglia","keywords":"Environmental science; Climate change; Flood myth; Magnitude (astronomy); Hydrology (agriculture); Flooding (psychology); Discharge; General Circulation Model; Climatology; Drainage basin; Geography; Geology","score_opus":0.05084487647909229,"score_gpt":0.2622291588651114,"score_spread":0.21138428238601908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491786939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996463,0.00011070167,0.000105744555,0.0011133683,0.000012934371,0.0000046574396,0.0005496908,0.000007966006,0.0016318908],"genre_scores_gemma":[0.99952376,0.00010148998,0.000022060221,0.000025463032,0.000005088363,0.0000030430867,0.00012259951,0.0000018827753,0.00019459898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961746,0.00015213748,0.00002753925,0.000046862468,0.000029537614,0.00012638213],"domain_scores_gemma":[0.998728,0.00058137643,0.00022511272,0.000073884825,0.00019072318,0.0002009072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066608086,0.00023643205,0.00028909664,0.00072920026,0.000980026,0.0013258966,0.0006740296,0.0009643624,0.0022599236],"category_scores_gemma":[0.003048616,0.00033490188,0.000504203,0.0017632642,0.0011820163,0.0011018337,0.0011393115,0.001028888,0.00020834724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006636982,0.00012467736,0.92832536,0.000110764675,0.00023270995,0.0012918514,0.002908149,0.044915326,0.0024165467,0.0066103125,0.0024884138,0.009912122],"study_design_scores_gemma":[0.000046981455,0.000058137648,0.97082615,0.000029786292,0.00006628942,0.00018753893,0.00495752,0.020000229,0.00031586186,0.0022402199,0.0012279736,0.000043267395],"about_ca_topic_score_codex":0.17073824,"about_ca_topic_score_gemma":0.22372939,"teacher_disagreement_score":0.17073824,"about_ca_system_score_codex":0.0029745956,"about_ca_system_score_gemma":0.0015190026,"threshold_uncertainty_score":0.3394888},"labels":[],"label_agreement":null},{"id":"W1513636204","doi":"10.1023/a:1022810531237","title":"Trends and Variability in Spring and Autumn 0 °C-Isotherm Dates over Canada","year":2003,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Impact","funders":"","keywords":"Climatology; Climate change; Environmental science; Spring (device); Physical geography; Snowmelt; Spatial variability; Geography; Snow; Oceanography; Geology; Meteorology","score_opus":0.02969187589218625,"score_gpt":0.23612812988613088,"score_spread":0.20643625399394464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513636204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935889,0.0004424431,0.00014457457,0.00024022971,0.00001061262,0.0000037986174,0.003493384,0.000035506506,0.0020405157],"genre_scores_gemma":[0.99592304,0.00026083438,0.00009705855,0.000026512807,0.0000056563426,0.0000030675087,0.001827783,0.000008353492,0.0018475417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998118,0.0000125695,0.000011599782,0.000042979835,0.000055366178,0.0000656161],"domain_scores_gemma":[0.99843556,0.00022949772,0.0002126703,0.000035875964,0.0008462503,0.00024010864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039048155,0.00019774251,0.000197045,0.0014341117,0.0011047433,0.0010223205,0.0005589584,0.00033568952,0.0016178216],"category_scores_gemma":[0.0015214144,0.00016775157,0.0002544762,0.0024706211,0.00045246765,0.00031866538,0.00034625494,0.00038798954,0.00016134445],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016559946,0.00002515904,0.9833083,0.000034045537,0.00009461821,0.000060889906,0.0010887758,0.002292091,0.0012813986,0.0004703832,0.0023758812,0.008802813],"study_design_scores_gemma":[0.0000026188486,0.000004094848,0.99669987,0.00000558277,0.000013311944,0.00001382321,0.0002757903,0.0012332672,0.00008394189,0.000032606476,0.0016301522,0.0000048600905],"about_ca_topic_score_codex":0.9828237,"about_ca_topic_score_gemma":0.99177223,"teacher_disagreement_score":0.01717627,"about_ca_system_score_codex":0.010108235,"about_ca_system_score_gemma":0.006654681,"threshold_uncertainty_score":0.073340714},"labels":[],"label_agreement":null},{"id":"W1516916808","doi":"10.1023/a:1005649219332","title":"Climate Variability, Climate Change and Water Resource Management in the Great Lakes","year":2000,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Climate change; Context (archaeology); Adaptation (eye); Environmental resource management; Environmental science; Water resources; Resource (disambiguation); Natural (archaeology); Natural resource management; Natural resource; Environmental planning; Geography; Ecology; Computer science","score_opus":0.03425951485269071,"score_gpt":0.23900266607694123,"score_spread":0.20474315122425052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516916808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966878,0.0007319889,0.000054894957,0.0012814566,0.000009547733,0.0000016338481,0.000084586805,0.0000021567537,0.0011459984],"genre_scores_gemma":[0.9987669,0.00066219753,0.000034704724,0.000079244084,0.000037579444,0.0000022783445,0.000051769,0.0000017872547,0.0003636166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989676,0.000050863102,0.000004647683,0.000012057598,0.0000131331735,0.000022507447],"domain_scores_gemma":[0.99959964,0.00016102628,0.00010746496,0.000014757822,0.000035590187,0.000081526436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035116583,0.000062228384,0.00008458077,0.00030807304,0.00038248784,0.0006810312,0.00017062598,0.00031397247,0.0005668884],"category_scores_gemma":[0.0012521691,0.000109789326,0.00012442298,0.00097182096,0.0008746656,0.0006042643,0.0003537794,0.00031069847,0.00002819065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106560496,0.00007684727,0.976639,0.000045153567,0.00016126133,0.00033483517,0.0019250929,0.0032885342,0.0006303132,0.002711825,0.0021162045,0.01196445],"study_design_scores_gemma":[0.00000337353,0.000010051849,0.9970456,0.0000040971354,0.000015287722,0.000033634704,0.000685834,0.00076881796,0.000031916814,0.00047341816,0.0009252787,0.0000026332555],"about_ca_topic_score_codex":0.11764732,"about_ca_topic_score_gemma":0.27845535,"teacher_disagreement_score":0.8823527,"about_ca_system_score_codex":0.0010770602,"about_ca_system_score_gemma":0.001171476,"threshold_uncertainty_score":0.23392504},"labels":[],"label_agreement":null},{"id":"W1580256860","doi":"10.1023/a:1005661622966","title":"An Anatomy of Adaptation to Climate Change and Variability","year":2000,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":1291,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Guelph","funders":"","keywords":"Adaptation (eye); Normative; Computer science; Climate change adaptation; Climate change; Psychology; Ecology; Political science; Neuroscience; Biology","score_opus":0.18190864504441667,"score_gpt":0.3049097451908314,"score_spread":0.12300110014641474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580256860","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030537384,0.015160997,0.3354765,0.058855653,0.0010250245,0.00008015767,0.0003032742,0.0003576723,0.5582034],"genre_scores_gemma":[0.8598447,0.01658291,0.058276188,0.002456575,0.0018438365,0.00016877908,0.00014435641,0.00017996535,0.06050273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995389,0.00021939065,0.000018459126,0.00007316807,0.000097093936,0.00005300603],"domain_scores_gemma":[0.9988502,0.0007267229,0.000074251024,0.00015268398,0.000118108765,0.00007798632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000907548,0.00026937484,0.00028062778,0.0010050491,0.00077174936,0.0034314708,0.0007376918,0.0016621501,0.009555039],"category_scores_gemma":[0.0030439876,0.00023707471,0.00030150183,0.001533701,0.009099137,0.006209199,0.0016413204,0.0024582692,0.0008458464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020276093,0.0000028476475,0.00011997708,0.000008410781,0.000001934688,0.000028605178,0.00020755283,0.00062454137,0.000072669915,0.9921469,0.0008757639,0.0059087663],"study_design_scores_gemma":[0.0000016661518,0.000002664037,0.00036820766,0.000012870266,0.0000018206299,0.000063874606,0.000116332674,0.00089864025,0.00003826113,0.9682916,0.030201003,0.0000031455536],"about_ca_topic_score_codex":0.0036287764,"about_ca_topic_score_gemma":0.0026046813,"teacher_disagreement_score":0.009555039,"about_ca_system_score_codex":0.0018239253,"about_ca_system_score_gemma":0.0014629861,"threshold_uncertainty_score":0.03196478},"labels":[],"label_agreement":null},{"id":"W1594220712","doi":"10.1023/a:1020780211008","title":"Modelling Carbon Dynamics of Boreal Forest Ecosystems Using the Canadian Land Surface Scheme","year":2002,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Black spruce; Eddy covariance; Environmental science; Ecosystem respiration; Ecosystem; Boreal ecosystem; Soil respiration; Atmospheric sciences; Sink (geography); Taiga; Deciduous; Plant litter; Ecology; Hydrology (agriculture); Soil science; Soil water; Geography; Biology; Geology","score_opus":0.053047388555194724,"score_gpt":0.21546044259873845,"score_spread":0.16241305404354373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594220712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97351724,0.0004969013,0.0113195265,0.0007113663,0.000043509197,0.0000536218,0.0030752413,0.00028521882,0.010497338],"genre_scores_gemma":[0.99353737,0.00023501631,0.0037986909,0.000025944673,0.0000071775967,0.000019419158,0.000607318,0.000035602523,0.0017332976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998017,0.000033345677,0.0000091027705,0.000035384553,0.000045430763,0.00007517612],"domain_scores_gemma":[0.999559,0.000106436375,0.000041988646,0.000031624677,0.00017705873,0.000083967636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044630282,0.00059252244,0.0005643393,0.00076233025,0.0015957822,0.0015150973,0.00136503,0.00080946233,0.0021147875],"category_scores_gemma":[0.0013861115,0.0003894815,0.00064996263,0.0018790325,0.00088843156,0.0009863733,0.0005957025,0.0006734729,0.00012486322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003126397,0.000012790074,0.0064928094,0.000012725481,0.000021846656,0.000020049032,0.000035531917,0.9871099,0.000361483,0.0031300518,0.00049020135,0.002281251],"study_design_scores_gemma":[0.000012643458,0.000004245214,0.004707955,0.0000031859013,0.00001046636,0.000004003782,0.00003756694,0.99354196,0.00012224176,0.00066866225,0.0008742176,0.00001287517],"about_ca_topic_score_codex":0.9768599,"about_ca_topic_score_gemma":0.9771853,"teacher_disagreement_score":0.023140073,"about_ca_system_score_codex":0.017078103,"about_ca_system_score_gemma":0.010407838,"threshold_uncertainty_score":0.123910904},"labels":[],"label_agreement":null},{"id":"W1601396554","doi":"10.1023/a:1005653320241","title":"Adaptation in Canadian Agriculture to Climatic Variability and Change","year":2000,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":322,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Carleton University; University of Lethbridge; University of Guelph; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Vulnerability (computing); Climate change; Agriculture; Environmental resource management; Adaptation (eye); Geography; Agency (philosophy); Environmental planning; Natural resource economics; Ecology; Environmental science; Economics; Psychology; Biology","score_opus":0.08532517064778614,"score_gpt":0.25712563439567826,"score_spread":0.17180046374789212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601396554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9154508,0.004866918,0.0019369771,0.008805604,0.00016738754,0.00007990057,0.0027697838,0.00011450917,0.06580806],"genre_scores_gemma":[0.9890131,0.0025319513,0.00071091065,0.00034493467,0.000022708387,0.000012475573,0.0005152278,0.000021649574,0.0068269814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886525,0.00012005634,0.000034745233,0.00014764944,0.00029690238,0.0005354798],"domain_scores_gemma":[0.9987274,0.000098408294,0.0001255039,0.000060019112,0.00078110665,0.0002075712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009802683,0.00027252437,0.0003726711,0.0017206651,0.004534065,0.0022657844,0.0010306642,0.0005294451,0.0047063595],"category_scores_gemma":[0.0030087451,0.0002149275,0.00046892578,0.0055663446,0.0018577902,0.00061917235,0.0010750967,0.0006608967,0.0002175658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000773978,0.00015700956,0.6680631,0.0004904205,0.0004226718,0.0011510884,0.015203612,0.02056087,0.00827458,0.030119764,0.029644614,0.22513819],"study_design_scores_gemma":[0.000009568512,0.000014134656,0.9606986,0.000030261503,0.00003483669,0.000060068713,0.003440825,0.0013135079,0.00020634083,0.0010729557,0.03308086,0.000038041446],"about_ca_topic_score_codex":0.998198,"about_ca_topic_score_gemma":0.9992907,"teacher_disagreement_score":0.07678805,"about_ca_system_score_codex":0.07678805,"about_ca_system_score_gemma":0.056851335,"threshold_uncertainty_score":0.5571389},"labels":[],"label_agreement":null},{"id":"W1602614895","doi":"10.1023/a:1010794528219","title":"Variability of Sea-Ice Extent in Baffin Bay over the Last Millennium","year":2001,"lang":"en","type":"article","venue":"Climatic Change","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"Office of Polar Programs; National Oceanic and Atmospheric Administration; National Center for Atmospheric Research; National Science Foundation","keywords":"Sea ice; Arctic ice pack; Oceanography; Bay; Arctic; Geology; Arctic sea ice decline; Climatology; Cryosphere; Antarctic sea ice","score_opus":0.05216615267404599,"score_gpt":0.27550388423936206,"score_spread":0.22333773156531606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602614895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99758244,0.00030380135,0.000036231235,0.00017707297,0.000010228733,0.00000192324,0.0009175166,0.0000047415488,0.00096605526],"genre_scores_gemma":[0.9980306,0.0001680944,0.000057666566,0.00003695845,0.0000075852863,0.000003385308,0.0009422679,0.000002361681,0.0007509617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998005,0.000024676658,0.000022647986,0.000054302553,0.000048197056,0.000049692582],"domain_scores_gemma":[0.99874485,0.00015410286,0.00036573363,0.00005348679,0.00049497845,0.00018686322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000528465,0.00014039388,0.00023295321,0.0012582714,0.00049530645,0.00081694784,0.00040460876,0.00039006057,0.0013623196],"category_scores_gemma":[0.0019598708,0.00022004778,0.00016733524,0.0014598179,0.0005372305,0.000519391,0.00055992865,0.000339651,0.00023067975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009294707,0.000013081981,0.994307,0.00001963173,0.000071141876,0.00006120059,0.00060781714,0.00023110169,0.0007646985,0.000064026935,0.00046771188,0.003299669],"study_design_scores_gemma":[0.0000016240806,0.0000029516364,0.9992256,0.000003505489,0.0000063172624,0.000013684565,0.00014788947,0.00013801942,0.000026064487,0.0000063630396,0.00042613558,0.000001897765],"about_ca_topic_score_codex":0.47534525,"about_ca_topic_score_gemma":0.70800835,"teacher_disagreement_score":0.52465475,"about_ca_system_score_codex":0.0019153066,"about_ca_system_score_gemma":0.00095512887,"threshold_uncertainty_score":0.9451569},"labels":[],"label_agreement":null},{"id":"W1845256304","doi":"10.1007/s10584-015-1521-0","title":"Fuel moisture sensitivity to temperature and precipitation: climate change implications","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":338,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Natural Resources Canada; University of Alberta","funders":"","keywords":"Precipitation; Environmental science; Water content; Moisture; Climate change; Climatology; Atmospheric sciences; Meteorology; Geography; Geology","score_opus":0.04569042218733456,"score_gpt":0.27102456839429745,"score_spread":0.2253341462069629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1845256304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98850095,0.0015750626,0.0020506154,0.00078933017,0.00004607647,0.000030017494,0.0023314108,0.00006669015,0.0046098167],"genre_scores_gemma":[0.9985026,0.00038828625,0.0003745986,0.00005805641,0.00002049342,0.0000037652264,0.00042173424,0.000011443972,0.00021902405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997781,0.00003348581,0.000009956364,0.00004820614,0.00006287859,0.00006732854],"domain_scores_gemma":[0.9993181,0.00023164922,0.00015838436,0.000059581012,0.0001738832,0.00005828992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005016123,0.00040677644,0.00034450405,0.0004951129,0.00039631722,0.0008964395,0.0005556306,0.00056750496,0.0014280553],"category_scores_gemma":[0.0023468896,0.00019511483,0.00056498725,0.001146177,0.0003952414,0.00075273536,0.00030915372,0.0004448739,0.00012220208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043072584,0.00011464151,0.78889346,0.00024697732,0.00042459075,0.0003946254,0.00014726217,0.16213351,0.018391125,0.0015672372,0.0011044989,0.026151294],"study_design_scores_gemma":[0.000017955324,0.000055283777,0.951624,0.000014030536,0.000081610444,0.000084297935,0.00010682887,0.040948927,0.0048478665,0.00061499747,0.001564442,0.000039752365],"about_ca_topic_score_codex":0.3891716,"about_ca_topic_score_gemma":0.35355052,"teacher_disagreement_score":0.3891716,"about_ca_system_score_codex":0.0024046197,"about_ca_system_score_gemma":0.0011377849,"threshold_uncertainty_score":0.7738128},"labels":[],"label_agreement":null},{"id":"W1964927624","doi":"10.1007/s10584-012-0569-3","title":"Public health in the Canadian Arctic: contributions from International Polar Year research","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Makivik Corporation; University of Winnipeg; Public Health Agency of Canada; Statistics Canada; Trent University; McGill University; Université Laval; University of Manitoba; Centre hospitalier universitaire de Québec","funders":"","keywords":"Public health; Context (archaeology); Environmental health; Disease; Population; Circumpolar star; Economic growth; Geography; Medicine; Political science; Nursing","score_opus":0.5317306990257554,"score_gpt":0.5225275772409326,"score_spread":0.009203121784822854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964927624","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11086951,0.38889858,0.0024803183,0.2606382,0.007883318,0.00041343074,0.0069385576,0.00022387634,0.22165413],"genre_scores_gemma":[0.51469433,0.424538,0.0064043985,0.014046664,0.002715135,0.00021389138,0.0029991632,0.00009190655,0.03429661],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99632555,0.00065640744,0.00015422958,0.00023875177,0.0011236434,0.0015012906],"domain_scores_gemma":[0.9852871,0.0016502284,0.00054780615,0.0003416129,0.008422162,0.003751179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008898994,0.00095326465,0.0006201687,0.0072935545,0.00889748,0.0063165757,0.0011302286,0.0012522235,0.0058352784],"category_scores_gemma":[0.0074630375,0.0002784156,0.00080255343,0.01054712,0.0028903822,0.0013753722,0.0041008405,0.002074389,0.00040936703],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003076504,0.00020375427,0.15542579,0.0034419,0.00025226077,0.0011494241,0.02283136,0.0013993847,0.0010555527,0.021368193,0.11698359,0.6755812],"study_design_scores_gemma":[0.000019559626,0.00009716736,0.35141096,0.0038161052,0.0001981851,0.00034118275,0.047747537,0.00050926063,0.000522959,0.0018292115,0.5933823,0.00012558415],"about_ca_topic_score_codex":0.99220735,"about_ca_topic_score_gemma":0.9946497,"teacher_disagreement_score":0.08390992,"about_ca_system_score_codex":0.08390992,"about_ca_system_score_gemma":0.2839858,"threshold_uncertainty_score":0.608812},"labels":[],"label_agreement":null},{"id":"W1965473118","doi":"10.1007/s10584-009-9762-4","title":"Sources of information for farmers’ adaptation practices in Canada’s Prairie agro-ecosystem","year":2009,"lang":"en","type":"article","venue":"Climatic Change","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Canada Research Chairs; University of Manitoba","keywords":"Government (linguistics); Business; Environmental resource management; Adaptation (eye); Variety (cybernetics); Environmental planning; Wetland; Soil conservation; Geography; Environmental science; Ecology; Agriculture","score_opus":0.1092774253026634,"score_gpt":0.27474012230506295,"score_spread":0.16546269700239954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965473118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7964385,0.001669916,0.0012957309,0.0022646892,0.000034183115,0.0005478478,0.15256505,0.000112182635,0.04507189],"genre_scores_gemma":[0.9476221,0.0016730884,0.0040032933,0.0003444022,0.000020001391,0.00038052033,0.034706745,0.000035238947,0.01121456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798054,0.0003364426,0.0002627453,0.00018410856,0.0009372829,0.00029890952],"domain_scores_gemma":[0.9725802,0.011138405,0.0035848045,0.0009823178,0.010701345,0.001013012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025620828,0.00022312602,0.00023392026,0.0075161704,0.0016290544,0.0017284218,0.00071500003,0.00052771956,0.0067510013],"category_scores_gemma":[0.017506884,0.00021252291,0.00018352908,0.012763225,0.0003178068,0.0011660707,0.0010070489,0.00044091235,0.00071675744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073516695,0.00022083936,0.72434175,0.0018524154,0.00015132323,0.00091126916,0.0340338,0.0012720359,0.0028784445,0.0012965989,0.039244946,0.1930614],"study_design_scores_gemma":[0.000037826176,0.000041548363,0.9208262,0.00084978854,0.000106569416,0.00011059737,0.017980393,0.0014583992,0.0017074165,0.00023873681,0.05656266,0.00007979496],"about_ca_topic_score_codex":0.94266295,"about_ca_topic_score_gemma":0.9653779,"teacher_disagreement_score":0.057337046,"about_ca_system_score_codex":0.011520458,"about_ca_system_score_gemma":0.022900874,"threshold_uncertainty_score":0.11534935},"labels":[],"label_agreement":null},{"id":"W1967480822","doi":"10.1007/s10584-012-0452-2","title":"Coupling statistical and dynamical methods for spatial downscaling of precipitation","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro","keywords":"Downscaling; Precipitation; Environmental science; Climatology; Scale (ratio); Climate change; Statistical model; Meteorology; Climate model; Statistics; Geography; Mathematics; Geology","score_opus":0.11898815748061482,"score_gpt":0.3708133354119632,"score_spread":0.2518251779313484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967480822","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022223527,0.00017526334,0.97662795,0.0001276746,0.000058271908,0.000031218766,0.00006134628,0.00025159746,0.00044320466],"genre_scores_gemma":[0.46587193,0.0003787301,0.5311356,0.0001499342,0.00022282376,0.00035512567,0.0005156949,0.0003422659,0.0010279088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985759,0.00071348285,0.00015768866,0.00021519432,0.00027408652,0.00006358912],"domain_scores_gemma":[0.98933524,0.007796413,0.0005958084,0.0011846116,0.0009568447,0.00013115288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00507089,0.00038623845,0.0006002168,0.001282596,0.0004702059,0.0008317651,0.00094588887,0.00056027883,0.0010636994],"category_scores_gemma":[0.02894923,0.00072108227,0.0006858151,0.0015876052,0.00060433144,0.0014306892,0.0018023384,0.0010095687,0.00023123687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015092856,0.00020002223,0.010431863,0.00015297324,0.00039026327,0.000040841885,0.00020516595,0.65336907,0.0067175417,0.051298868,0.0011493965,0.27589306],"study_design_scores_gemma":[0.00002055343,0.000015874237,0.0018338589,0.0000065974546,0.000020941248,0.000007852676,0.000012726146,0.98215646,0.00064970175,0.0146916,0.00057310355,0.000010703213],"about_ca_topic_score_codex":0.00713464,"about_ca_topic_score_gemma":0.00878047,"teacher_disagreement_score":0.00713464,"about_ca_system_score_codex":0.00051966135,"about_ca_system_score_gemma":0.0014603713,"threshold_uncertainty_score":0.026817799},"labels":[],"label_agreement":null},{"id":"W1968110550","doi":"10.1007/s10584-014-1215-z","title":"Adaptation to climate change in glaciated mountain regions","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Climate change; Adaptation (eye); Geography; Stressor; Scale (ratio); Environmental resource management; Scholarship; Physical geography; Environmental planning; Ecology; Cartography; Environmental science; Political science","score_opus":0.23221223086931966,"score_gpt":0.36258748193740176,"score_spread":0.1303752510680821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968110550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986304,0.00023071423,0.00004423322,0.0002267242,0.0000048939833,0.0000023362288,0.000052220268,0.000001936955,0.00080662797],"genre_scores_gemma":[0.9995926,0.00017410489,0.000023683106,0.000023069955,0.000007959013,0.0000016217281,0.00004441514,5.5350597e-7,0.00013202864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998167,0.00007408008,0.0000074124355,0.000018157654,0.000011453026,0.00007228877],"domain_scores_gemma":[0.9997209,0.000046914087,0.000104171544,0.000019315812,0.0000352758,0.00007347544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035709984,0.00009042065,0.0001567529,0.00046702658,0.0006491403,0.00065223477,0.00022498453,0.00030513387,0.0017468958],"category_scores_gemma":[0.0011212934,0.00006743888,0.00020102813,0.0011438978,0.0005828475,0.00035236,0.00065378845,0.00030280824,0.00007755578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015626616,0.00010004372,0.9686516,0.00006663662,0.00017594962,0.00033065994,0.008256206,0.0020592413,0.0011957455,0.0016745506,0.0007176311,0.016615571],"study_design_scores_gemma":[0.0000022812678,0.000017566406,0.996563,0.0000062139516,0.000008529481,0.000021604885,0.0024280301,0.00022084972,0.000018384451,0.00022631203,0.00048507884,0.000002165824],"about_ca_topic_score_codex":0.046433415,"about_ca_topic_score_gemma":0.081316926,"teacher_disagreement_score":0.046433415,"about_ca_system_score_codex":0.0005920863,"about_ca_system_score_gemma":0.00057258835,"threshold_uncertainty_score":0.09232628},"labels":[],"label_agreement":null},{"id":"W1970552960","doi":"10.1007/s10584-014-1234-9","title":"Response of evapotranspiration and water availability to the changing climate in Northern Eurasia","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"ArcticNet; European Space Agency; National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"Evapotranspiration; Environmental science; Snow; Hydrometeorology; Permafrost; Precipitation; Glacier; Climate change; Wetland; Hydrology (agriculture); Physical geography; Ecosystem; Period (music); Discharge; Climatology; Atmospheric sciences; Drainage basin; Geology; Geography; Ecology; Oceanography","score_opus":0.052768124848688765,"score_gpt":0.25320842220229817,"score_spread":0.2004402973536094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970552960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996612,0.000024220259,0.00002627716,0.00002720761,0.0000011404875,6.612745e-7,0.000036872363,0.0000011586708,0.00022120887],"genre_scores_gemma":[0.99967754,0.000017800663,0.000030892897,0.000015704836,0.0000017963002,0.000001447049,0.000063752654,0.0000012984186,0.00018981166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998454,0.00004519912,0.000016659827,0.000044625354,0.000014334466,0.000033833407],"domain_scores_gemma":[0.9995523,0.00014212666,0.00011129306,0.00002897917,0.00008741926,0.00007784267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005192462,0.00011653066,0.00021849359,0.0002250502,0.00021144217,0.00043243376,0.0003171893,0.0004410557,0.0012836428],"category_scores_gemma":[0.001297161,0.0001408064,0.00023660029,0.0003194389,0.00038641872,0.0004391556,0.00032485026,0.00025840328,0.00012557917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083015964,0.000074280906,0.96185535,0.000037082078,0.00017807494,0.00045917003,0.0011504283,0.005470718,0.022802955,0.0002696244,0.0002412488,0.0066309045],"study_design_scores_gemma":[0.0000057364377,0.000019948242,0.99806315,0.0000013336529,0.000006913535,0.000036268888,0.0002055633,0.0012676133,0.00020792849,0.000045311514,0.00013752856,0.000002627718],"about_ca_topic_score_codex":0.032653343,"about_ca_topic_score_gemma":0.029409297,"teacher_disagreement_score":0.032653343,"about_ca_system_score_codex":0.00069094833,"about_ca_system_score_gemma":0.0003199452,"threshold_uncertainty_score":0.064926565},"labels":[],"label_agreement":null},{"id":"W1970633118","doi":"10.1007/s10584-011-0237-z","title":"Gender and occupational perspectives on adaptation to climate extremes in the Afram Plains of Ghana","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ghana; Pennsylvania State University; United Nations Population Fund; University of Regina; United States Agency for International Development","keywords":"Climate change; Agriculture; Geography; Greenhouse gas; Natural resource economics; Fishing; Ranking (information retrieval); Environmental resource management; Socioeconomics; Environmental protection; Environmental science; Ecology; Economics","score_opus":0.2834241956974235,"score_gpt":0.30164537868714564,"score_spread":0.01822118298972214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970633118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96695775,0.0017671516,0.00014182903,0.0093124,0.000059064303,0.0000062712384,0.000058326987,0.0000016289832,0.02169564],"genre_scores_gemma":[0.9983766,0.00051433814,0.000019518116,0.00014022227,0.0000131105435,0.0000026060538,0.0000066803027,8.456682e-7,0.0009260206],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9993081,0.00031683734,0.000011512669,0.000026542028,0.000035071615,0.0003018823],"domain_scores_gemma":[0.99924564,0.00027876804,0.00020860291,0.000017303959,0.00005538107,0.00019437849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007334806,0.00015827148,0.00018289372,0.0006604566,0.0030185764,0.0017023885,0.00025830447,0.0006097741,0.006323454],"category_scores_gemma":[0.0013280533,0.00013002314,0.00012895152,0.0011673493,0.0031146768,0.0011241833,0.0013524255,0.00075184676,0.00018353204],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045843227,0.00022500585,0.35257512,0.00017003165,0.00004419723,0.0045913407,0.5099618,0.0004430064,0.0025419553,0.09150112,0.0044364375,0.033051588],"study_design_scores_gemma":[0.000020014508,0.00008336174,0.25681475,0.00015323595,0.000017077766,0.0005806928,0.7016196,0.00017486782,0.00020388374,0.008389338,0.031926,0.000017202223],"about_ca_topic_score_codex":0.050749637,"about_ca_topic_score_gemma":0.102602325,"teacher_disagreement_score":0.050749637,"about_ca_system_score_codex":0.0024020737,"about_ca_system_score_gemma":0.0015593985,"threshold_uncertainty_score":0.10090846},"labels":[],"label_agreement":null},{"id":"W1971658840","doi":"10.1007/s10584-014-1072-9","title":"North American terrestrial CO2 uptake largely offset by CH4 and N2O emissions: toward a full accounting of the greenhouse gas budget","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":188,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Environmental science; Greenhouse gas; Terrestrial ecosystem; Ecosystem; Atmospheric sciences; Climate change; Biogeochemical cycle; Global warming; Sink (geography); Climatology; Troposphere; Ecology; Geography","score_opus":0.015680947029488537,"score_gpt":0.21680997167100818,"score_spread":0.20112902464151966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971658840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771403,0.0021036146,0.014429487,0.00060395576,0.00003400562,0.000014927875,0.0012446375,0.00022772767,0.0042013633],"genre_scores_gemma":[0.9918853,0.0011647885,0.0058837966,0.00006666337,0.000011423231,0.000012897415,0.00042284263,0.000029611921,0.00052267296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99994266,0.000012719924,0.0000027161223,0.000020071875,0.0000120995865,0.000009661454],"domain_scores_gemma":[0.9999175,0.00001577639,0.000019364106,0.000011283698,0.00002869194,0.0000073538795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002659682,0.00065928657,0.00020736958,0.00042616826,0.00027556744,0.0006000555,0.0003575135,0.00032532355,0.0006350027],"category_scores_gemma":[0.0004058788,0.0003658384,0.00043851684,0.00077600265,0.00020497583,0.0011360543,0.000310387,0.00028755973,0.00010262795],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015357354,0.000072095674,0.33530942,0.0002391154,0.00061327504,0.0002549195,0.00021625878,0.5791742,0.024933018,0.0038130775,0.0025412252,0.05267978],"study_design_scores_gemma":[0.000024813433,0.000047653582,0.4161373,0.00004610206,0.00031552924,0.0001190393,0.00031617735,0.5616267,0.006511948,0.005731924,0.009033717,0.00008913345],"about_ca_topic_score_codex":0.09920965,"about_ca_topic_score_gemma":0.1542274,"teacher_disagreement_score":0.09920965,"about_ca_system_score_codex":0.0010815859,"about_ca_system_score_gemma":0.0012322348,"threshold_uncertainty_score":0.19726443},"labels":[],"label_agreement":null},{"id":"W1972725454","doi":"10.1007/s10584-010-9818-5","title":"Modelling climate change effects on the spatial distribution of mountain permafrost at three sites in northwest Canada","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Permafrost; Climate change; Elevation (ballistics); Cloud cover; Environmental science; Global warming; Atmospheric sciences; Physical geography; Climatology; Climate model; Spatial distribution; Geology; Geography; Cloud computing; Remote sensing; Geometry","score_opus":0.048924248262842786,"score_gpt":0.2264467891752093,"score_spread":0.17752254091236652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972725454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983917,0.000052096817,0.00023543306,0.00006851141,0.000003935087,0.000009711933,0.00067400007,0.000025022062,0.00053963775],"genre_scores_gemma":[0.99832433,0.000044230623,0.00057865505,0.0000129995515,0.0000015146323,0.000008652849,0.0006268781,0.000008098468,0.00039453732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973816,0.00003882878,0.00001146456,0.00006329722,0.000045152916,0.00010308269],"domain_scores_gemma":[0.9992766,0.00021515788,0.00005536773,0.00004182314,0.00026486738,0.00014629682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004992349,0.000425859,0.00051622064,0.00062524836,0.0018606918,0.0016630825,0.0019157312,0.0010294209,0.0016543398],"category_scores_gemma":[0.0013423306,0.00050051545,0.00092040474,0.0015486489,0.00092059775,0.0004881651,0.0005485561,0.0007417338,0.00012970873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003689447,0.00018892992,0.40093988,0.000057453726,0.00030322815,0.00025953996,0.00046049326,0.5870806,0.002068849,0.0006620415,0.0012079224,0.006402016],"study_design_scores_gemma":[0.000153727,0.00005062537,0.3546741,0.000020734311,0.00012545682,0.000052340347,0.0013251198,0.64061815,0.0010885849,0.00032142145,0.0015017829,0.00006802261],"about_ca_topic_score_codex":0.99048764,"about_ca_topic_score_gemma":0.9928382,"teacher_disagreement_score":0.019707378,"about_ca_system_score_codex":0.019707378,"about_ca_system_score_gemma":0.012559489,"threshold_uncertainty_score":0.14298773},"labels":[],"label_agreement":null},{"id":"W1976348016","doi":"10.1023/b:clim.0000038226.60317.35","title":"Estimated N2O and CO2 Emissions as Influenced by Agricultural Practices in Canada","year":2004,"lang":"en","type":"article","venue":"Climatic Change","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Tillage; Denitrification; Fertilizer; Greenhouse gas; Agriculture; Grassland; Crop rotation; Agronomy; Nitrous oxide; Nitrogen; Atmospheric sciences; Geography; Ecology; Chemistry","score_opus":0.0475153172806798,"score_gpt":0.26996852108471453,"score_spread":0.22245320380403472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976348016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99669564,0.00031296132,0.00020004553,0.00004978743,0.0000028609268,0.000009813755,0.0017103851,0.00001528813,0.0010032619],"genre_scores_gemma":[0.99729747,0.00024189541,0.00042426423,0.000020136153,0.0000020552627,0.000006067491,0.0010929466,0.0000070749415,0.00090800103],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973255,0.000020093436,0.000018654591,0.000074244075,0.00007400444,0.000080402104],"domain_scores_gemma":[0.99925643,0.00009224157,0.00006872289,0.000016498368,0.00045875352,0.00010732259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003503337,0.0003850978,0.00031433845,0.0011384083,0.0017375024,0.0011877487,0.0006907047,0.0003457506,0.0010197904],"category_scores_gemma":[0.0008642433,0.00029053786,0.0004456581,0.0029015294,0.0005594568,0.00035813163,0.00036878418,0.00031879087,0.00013957937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035845497,0.000055972574,0.94875664,0.00011319556,0.00025225748,0.00024196217,0.0008536097,0.027595056,0.0036356272,0.00064605294,0.0011789928,0.016312312],"study_design_scores_gemma":[0.000018749648,0.000011130696,0.9816042,0.00001629888,0.000052781437,0.000038253802,0.0005820683,0.014594633,0.00076600764,0.00007781161,0.0022103887,0.000027662762],"about_ca_topic_score_codex":0.99781287,"about_ca_topic_score_gemma":0.99847215,"teacher_disagreement_score":0.03346127,"about_ca_system_score_codex":0.03346127,"about_ca_system_score_gemma":0.015797937,"threshold_uncertainty_score":0.24277967},"labels":[],"label_agreement":null},{"id":"W1978840893","doi":"10.1007/s10584-012-0431-7","title":"Multiproxy reconstructions of climate for three sites in the Canadian High Arctic using Cassiope tetragona","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Arctic; Precipitation; Paleoclimatology; Physical geography; Climate change; Climatology; Dendroclimatology; Dendrochronology; Environmental science; Geology; Oceanography; Geography; Archaeology","score_opus":0.1892135784799065,"score_gpt":0.29776564210927475,"score_spread":0.10855206362936826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978840893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786704,0.00033524874,0.0026917886,0.00022339389,0.0000416808,0.000024764277,0.013367349,0.0008601476,0.0037852812],"genre_scores_gemma":[0.9847357,0.00014667689,0.0062485533,0.000045961548,0.000009855656,0.000025790034,0.007619744,0.0001723112,0.0009953841],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978393,0.000014653751,0.000009882155,0.00007359004,0.000053836957,0.00006412641],"domain_scores_gemma":[0.9993993,0.000050805756,0.000050885716,0.000081663384,0.0003251021,0.00009226945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038072455,0.00048404513,0.00066840864,0.0018238731,0.0018662191,0.0011320777,0.0011527197,0.0008428732,0.0030205543],"category_scores_gemma":[0.00085763336,0.000586212,0.0010652138,0.0033922666,0.0005245591,0.00034750247,0.00069951446,0.0007929478,0.0005648728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012694628,0.0002847311,0.54319406,0.00031549486,0.0013862659,0.0005292875,0.0016993099,0.33086494,0.044012375,0.002647533,0.015073157,0.05872339],"study_design_scores_gemma":[0.00033280483,0.000031623196,0.8145669,0.00005130656,0.00024400828,0.000100473975,0.0007847104,0.16699952,0.0030889558,0.0006230143,0.013021265,0.00015538772],"about_ca_topic_score_codex":0.9147855,"about_ca_topic_score_gemma":0.9664955,"teacher_disagreement_score":0.085214496,"about_ca_system_score_codex":0.005108298,"about_ca_system_score_gemma":0.0076089078,"threshold_uncertainty_score":0.17143261},"labels":[],"label_agreement":null},{"id":"W1980514320","doi":"10.1007/s10584-014-1078-3","title":"What drives national adaptation? A global assessment","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; University of British Columbia; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Adaptation (eye); Corporate governance; Adaptive capacity; Political science; Climate change; Climate change adaptation; Public economics; Environmental resource management; Development economics; Economics; Psychology; Ecology; Biology","score_opus":0.23366732740518323,"score_gpt":0.3335232439074682,"score_spread":0.09985591650228495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980514320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47192386,0.03871314,0.044272922,0.10109806,0.0010851064,0.00017213856,0.005014109,0.00034755672,0.33737314],"genre_scores_gemma":[0.9835861,0.0076113706,0.0050490783,0.0013423866,0.00008751515,0.000060658946,0.0005961948,0.00003659527,0.0016302783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99889696,0.00055389287,0.000055645723,0.00019049058,0.00013913268,0.00016399732],"domain_scores_gemma":[0.9979785,0.0005594941,0.00031260328,0.0003677905,0.0005605104,0.0002211381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033150841,0.00044433356,0.0006221392,0.0014483022,0.0007684434,0.002639596,0.0005154155,0.00077479496,0.00800307],"category_scores_gemma":[0.006472918,0.0001541407,0.0006679552,0.0024808873,0.0022101493,0.0048867087,0.0031008904,0.0011840616,0.00037360683],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016627822,0.00009628282,0.23556146,0.0017295056,0.0008268201,0.00037861118,0.0032383853,0.03318188,0.0012731873,0.386319,0.020943372,0.31628525],"study_design_scores_gemma":[0.000019892972,0.00015035455,0.377791,0.002038246,0.0005007657,0.00027812837,0.013479383,0.021698935,0.0010849232,0.4045419,0.17830025,0.00011621648],"about_ca_topic_score_codex":0.006998492,"about_ca_topic_score_gemma":0.0094913775,"teacher_disagreement_score":0.00800307,"about_ca_system_score_codex":0.0022595914,"about_ca_system_score_gemma":0.002177876,"threshold_uncertainty_score":0.026772916},"labels":[],"label_agreement":null},{"id":"W1980903571","doi":"10.1007/s10584-013-0831-3","title":"Climate change projections of the North American Regional Climate Change Assessment Program (NARCCAP)","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":201,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos","funders":"Lawrence Livermore National Laboratory; Office of Science; National Oceanic and Atmospheric Administration; U.S. Environmental Protection Agency; U.S. Department of Energy; Commonwealth Scientific and Industrial Research Organisation; Office of Research and Development; National Science Foundation","keywords":"Climatology; Precipitation; Climate change; Climate model; Environmental science; General Circulation Model; GCM transcription factors; Geography; Meteorology; Geology; Oceanography","score_opus":0.09284292661712636,"score_gpt":0.31567574938522974,"score_spread":0.2228328227681034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980903571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.653166,0.0027383692,0.02912675,0.018050712,0.0016438692,0.00042611265,0.24165283,0.002818007,0.050377436],"genre_scores_gemma":[0.8154854,0.0018991455,0.06889945,0.001443937,0.00022334336,0.0010191866,0.10284794,0.00036003138,0.007821599],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954164,0.00019168067,0.000013399031,0.00005857158,0.00015773176,0.00003702309],"domain_scores_gemma":[0.9985241,0.00019065972,0.0001387329,0.0001639541,0.0008385032,0.00014414963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021550632,0.00043322638,0.0003998825,0.00061160227,0.00041090595,0.0006324186,0.00089834194,0.00054753904,0.001908186],"category_scores_gemma":[0.0026087526,0.00017412228,0.00042035957,0.00118658,0.00013159048,0.0005216114,0.00051643274,0.0008356865,0.00038938408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000891029,0.00042443277,0.1957489,0.00084747473,0.00078970194,0.0003714172,0.00034784767,0.30931145,0.0051468182,0.025251968,0.35538274,0.10548622],"study_design_scores_gemma":[0.00034496313,0.0002720607,0.38088265,0.0001851911,0.00036321473,0.00013195588,0.0005421554,0.39091522,0.0045361742,0.01570626,0.20593594,0.0001842177],"about_ca_topic_score_codex":0.15888186,"about_ca_topic_score_gemma":0.19899735,"teacher_disagreement_score":0.15888186,"about_ca_system_score_codex":0.0018346824,"about_ca_system_score_gemma":0.003825997,"threshold_uncertainty_score":0.3159141},"labels":[],"label_agreement":null},{"id":"W1982356336","doi":"10.1007/s10584-011-0136-3","title":"Limitations of single-basket trading: lessons from the Montreal Protocol for climate policy","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; Norges Forskningsråd","keywords":"Montreal Protocol; Kyoto Protocol; Greenhouse gas; Emissions trading; Flexibility (engineering); Weighting; Climate change; Natural resource economics; Environmental science; Ambiguity; Economics; Ozone layer; Environmental economics; Computer science; Climatology; Stratosphere","score_opus":0.7139428527391026,"score_gpt":0.3519383414561952,"score_spread":0.36200451128290745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982356336","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13652146,0.0066907094,0.14081164,0.18725282,0.00212172,0.0027025589,0.025201093,0.0019202961,0.49677768],"genre_scores_gemma":[0.9009787,0.0021436822,0.048977833,0.011951569,0.00081058143,0.0018596007,0.003004528,0.0006432923,0.029630275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9444142,0.02581907,0.0035055408,0.0037813901,0.018779812,0.0036999448],"domain_scores_gemma":[0.78692913,0.14750835,0.010796026,0.025417319,0.024533996,0.0048150867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08111264,0.0008436414,0.002081636,0.0019836635,0.0053279684,0.012598211,0.0074267797,0.0052525243,0.027095763],"category_scores_gemma":[0.32402757,0.0011211392,0.001128194,0.0059566433,0.0036995502,0.011310442,0.003696158,0.007949839,0.0023467075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006741463,0.00013565148,0.011680965,0.00035328922,0.00023209056,0.00016350913,0.0016312505,0.010482724,0.00025482711,0.7541932,0.11530695,0.104891345],"study_design_scores_gemma":[0.001027628,0.00031262956,0.038769335,0.0014533114,0.0003561829,0.00025344832,0.0029141458,0.082261436,0.002130165,0.6376467,0.23222645,0.00064864487],"about_ca_topic_score_codex":0.5978405,"about_ca_topic_score_gemma":0.5545586,"teacher_disagreement_score":0.5978405,"about_ca_system_score_codex":0.018456161,"about_ca_system_score_gemma":0.046447553,"threshold_uncertainty_score":0.8090558},"labels":[],"label_agreement":null},{"id":"W1983308793","doi":"10.1007/s10584-010-9958-7","title":"Differences and sensitivities in potential hydrologic impact of climate change to regional-scale Athabasca and Fraser River basins of the leeward and windward sides of the Canadian Rocky Mountains respectively","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Canadian Water Network","keywords":"HadCM3; Snowpack; Environmental science; Climate change; Surface runoff; Climatology; Structural basin; Snow; Drainage basin; Streamflow; Hydrology (agriculture); GCM transcription factors; General Circulation Model; Geography; Meteorology; Geology","score_opus":0.021791786771632387,"score_gpt":0.23442515086247862,"score_spread":0.21263336409084624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983308793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99838746,0.00005607628,0.000027597749,0.00005259877,0.0000012420782,0.0000032885519,0.00031178616,0.0000023504797,0.001157736],"genre_scores_gemma":[0.9994849,0.00003910471,0.000025235913,0.000009584522,0.0000010363393,0.0000015873638,0.00017384655,9.466468e-7,0.00026364072],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998012,0.000030081343,0.000010268792,0.000039615195,0.000045097968,0.00007383433],"domain_scores_gemma":[0.99918276,0.00017197462,0.00014023115,0.000051154093,0.00029078632,0.00016316754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004075898,0.00015505687,0.00013861776,0.000624215,0.00060621,0.00049359794,0.00036864515,0.00021547801,0.0012115487],"category_scores_gemma":[0.0015687967,0.00016428929,0.00029833225,0.0009202803,0.0005518408,0.00032912634,0.00042861074,0.00029815224,0.00008936076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002448341,0.000032249918,0.98603594,0.000017621718,0.00016120194,0.00011992634,0.0009972753,0.0024348942,0.0037063474,0.0004905467,0.00045692487,0.0053022867],"study_design_scores_gemma":[8.7675556e-7,0.00000238134,0.9994605,8.8536035e-7,0.0000061970163,0.000009311105,0.00019884168,0.00015569518,0.000058401172,0.000016679718,0.00008820055,0.000001989851],"about_ca_topic_score_codex":0.8323469,"about_ca_topic_score_gemma":0.9377136,"teacher_disagreement_score":0.16765308,"about_ca_system_score_codex":0.003163554,"about_ca_system_score_gemma":0.0017923121,"threshold_uncertainty_score":0.3372808},"labels":[],"label_agreement":null},{"id":"W1983497738","doi":"10.1007/s10584-013-0763-y","title":"Public engagement on solar radiation management and why it needs to happen now","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Klima- und Energiefonds; Fund for Innovative Climate and Energy Research; U.S. Environmental Protection Agency","keywords":"Public engagement; Corporate governance; Software deployment; Public relations; Political science; Public participation; Geoengineering; Democracy; Set (abstract data type); Inclusion (mineral); Business; State (computer science); Public administration; Sociology; Climate change; Computer science; Law; Social science; Politics","score_opus":0.09550787526373156,"score_gpt":0.24520249122706428,"score_spread":0.14969461596333272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983497738","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028495321,0.005639767,0.00037858708,0.93627214,0.002498215,0.000012825782,0.000054367396,0.000019341582,0.026629405],"genre_scores_gemma":[0.7613333,0.016945045,0.0006535099,0.19610196,0.0061726593,0.00011385014,0.00019684566,0.00005555634,0.018427283],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99035174,0.00527189,0.00021100577,0.00039204667,0.0012151891,0.0025582104],"domain_scores_gemma":[0.9589412,0.021508185,0.0029347527,0.0008208298,0.0056238296,0.010171162],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.012500843,0.00029802835,0.0004574123,0.00072294316,0.004975818,0.008074489,0.00068705383,0.009160914,0.017665062],"category_scores_gemma":[0.0311251,0.0003000869,0.00066051073,0.0010006821,0.005932967,0.007832191,0.004985883,0.0126635,0.0016326436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005725278,0.0017006836,0.052944213,0.0011768467,0.00019553337,0.0012267836,0.06228222,0.0009921305,0.001835656,0.10978544,0.3785804,0.38870758],"study_design_scores_gemma":[0.00011902047,0.00028924638,0.057851873,0.0027291921,0.00012963783,0.00030401,0.17236091,0.0006566472,0.00091067725,0.09506755,0.66942966,0.0001515672],"about_ca_topic_score_codex":0.0156065365,"about_ca_topic_score_gemma":0.026020903,"teacher_disagreement_score":0.9950242,"about_ca_system_score_codex":0.0053320285,"about_ca_system_score_gemma":0.015198616,"threshold_uncertainty_score":0.066111565},"labels":[],"label_agreement":null},{"id":"W1983804570","doi":"10.1007/s10584-008-9460-7","title":"Predicted changes in fire weather suggest increases in lightning fire initiation and future area burned in the mixedwood boreal forest","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":133,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Université Laval","funders":"Canadian Forest Service; University of Alberta","keywords":"Boreal; Environmental science; Lightning (connector); Taiga; Fire regime; Climatology; Climate change; Atmospheric sciences; Meteorology; Ecosystem; Geography; Ecology; Forestry; Geology","score_opus":0.021902737041538337,"score_gpt":0.21900039526005702,"score_spread":0.19709765821851868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983804570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992716,0.000039823924,0.00012516613,0.000042503714,0.0000053592294,0.0000015616147,0.00018845042,0.00001268206,0.00031283373],"genre_scores_gemma":[0.9996315,0.000012735335,0.000089327455,0.000010903774,0.000005458616,0.0000011228261,0.00018153279,0.0000015117838,0.00006593532],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998983,0.000019552248,0.00000889693,0.000037891383,0.000011339728,0.000024005749],"domain_scores_gemma":[0.99925,0.00018573011,0.0002637895,0.000037731454,0.000105417275,0.00015732614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004246479,0.0002751516,0.000186145,0.00042813865,0.0003750011,0.00065570854,0.00032600068,0.0003878348,0.0026348676],"category_scores_gemma":[0.00092143443,0.00024150986,0.00045141001,0.0002762195,0.00027649142,0.0004307648,0.00021674733,0.0003719373,0.00021102646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028181687,0.000040298877,0.99566215,0.000008922753,0.000048450795,0.00006105655,0.00004289368,0.0008694183,0.0015484439,0.000039365845,0.00012350593,0.0012737608],"study_design_scores_gemma":[0.000009825245,0.000031495998,0.9969969,0.0000013411681,0.000015658168,0.00008228718,0.00008304092,0.0024821828,0.00016940362,0.00005331243,0.00007154561,0.0000029425964],"about_ca_topic_score_codex":0.019078134,"about_ca_topic_score_gemma":0.044026695,"teacher_disagreement_score":0.019078134,"about_ca_system_score_codex":0.0004421293,"about_ca_system_score_gemma":0.00021621436,"threshold_uncertainty_score":0.037934184},"labels":[],"label_agreement":null},{"id":"W1984374442","doi":"10.1007/s10584-006-9144-0","title":"Winter-spring precipitation reconstructions from tree rings for northeast Mexico","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Teleconnection; Precipitation; Climatology; Dendroclimatology; Dendrochronology; Spring (device); Storm; El Niño Southern Oscillation; Geology; Environmental science; Geography; Oceanography; Meteorology","score_opus":0.05706726151159498,"score_gpt":0.2700879610915004,"score_spread":0.21302069957990544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984374442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980223,0.00006892052,0.00014349865,0.00005659432,0.0000039830375,0.0000019659444,0.001379342,0.000023384688,0.0003000119],"genre_scores_gemma":[0.997077,0.000069770664,0.0004055644,0.000009899719,0.0000071945856,0.000006676673,0.0021929205,0.000011611999,0.0002192886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992645,0.0000123179725,0.000005800354,0.000029277107,0.0000058553373,0.000020258665],"domain_scores_gemma":[0.9996551,0.00008826014,0.00010622655,0.00003806897,0.00006379665,0.000048573293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000408182,0.00017536711,0.00022763078,0.00060194405,0.0004895878,0.00042770198,0.00043878218,0.0005198266,0.0013350758],"category_scores_gemma":[0.00074277504,0.00021991103,0.00035807703,0.00075264025,0.00014795495,0.00029702391,0.00033912846,0.00025700568,0.00018546893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055461697,0.00008036486,0.971629,0.000045587996,0.00021576458,0.000087922446,0.000433582,0.012110084,0.004577574,0.00026248343,0.001475214,0.00852776],"study_design_scores_gemma":[0.00002659981,0.000013390271,0.9921049,0.000005929947,0.000043829416,0.00002225526,0.0001511259,0.006225989,0.00036196286,0.000035171703,0.0010015727,0.0000071742916],"about_ca_topic_score_codex":0.084698565,"about_ca_topic_score_gemma":0.16168852,"teacher_disagreement_score":0.084698565,"about_ca_system_score_codex":0.00080124213,"about_ca_system_score_gemma":0.0003926245,"threshold_uncertainty_score":0.16841114},"labels":[],"label_agreement":null},{"id":"W1986257291","doi":"10.1007/s10584-012-0653-8","title":"Learning with practitioners: climate change adaptation priorities in a Canadian community","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Impact; University of British Columbia; Environment and Climate Change Canada; University of Northern British Columbia","funders":"University of Northern British Columbia","keywords":"Adaptation (eye); Climate change; Environmental resource management; Environmental planning; Climate change adaptation; Local community; Process (computing); Action (physics); Business; Political science; Geography; Computer science; Psychology; Environmental science","score_opus":0.1545224445846347,"score_gpt":0.27929431355370304,"score_spread":0.12477186896906833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986257291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59861684,0.0026289683,0.001191061,0.3364254,0.0009408473,0.00022506743,0.00015085001,0.00005514926,0.05976584],"genre_scores_gemma":[0.95578855,0.0019006863,0.0014278487,0.01876109,0.000115575865,0.0000780178,0.00006855981,0.000029742181,0.021829965],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99280214,0.0018779,0.00010860157,0.000441747,0.0012476728,0.0035219374],"domain_scores_gemma":[0.9604762,0.0030758413,0.001208288,0.00026090647,0.005069725,0.029909028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0084478995,0.00032645382,0.0003282724,0.0011842789,0.043291114,0.008718664,0.0030607674,0.0050544753,0.013057112],"category_scores_gemma":[0.013170079,0.00040614794,0.00044252168,0.0020979145,0.008558242,0.0035264585,0.0074223806,0.007657507,0.00052706606],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002371064,0.0012964614,0.095858835,0.00030521725,0.000042226093,0.0037185112,0.5989201,0.0008134029,0.0014936405,0.018685918,0.16634257,0.112286],"study_design_scores_gemma":[0.000056023695,0.00014413972,0.032873712,0.00034226716,0.000022302504,0.0003654204,0.7877452,0.00043131353,0.00016944867,0.0036928789,0.17405823,0.00009904027],"about_ca_topic_score_codex":0.9407872,"about_ca_topic_score_gemma":0.9864514,"teacher_disagreement_score":0.08963651,"about_ca_system_score_codex":0.08963651,"about_ca_system_score_gemma":0.25250164,"threshold_uncertainty_score":0.6503614},"labels":[],"label_agreement":null},{"id":"W1987111871","doi":"10.1007/s10584-005-5951-y","title":"Management Strategies to Sequester Carbon in Agricultural Soils and to Mitigate Greenhouse Gas Emissions","year":2005,"lang":"en","type":"article","venue":"Climatic Change","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Greenhouse gas; Environmental science; Carbon sequestration; Agriculture; Tillage; Soil water; Nutrient management; Soil carbon; Agronomy; Carbon dioxide; Soil science; Ecology","score_opus":0.03426320429709052,"score_gpt":0.252485322985318,"score_spread":0.2182221186882275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987111871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83353955,0.012211903,0.0713868,0.015655773,0.0005208934,0.00024694434,0.00039225834,0.0004225459,0.065623395],"genre_scores_gemma":[0.9808451,0.002815855,0.011724285,0.0010187057,0.00011516567,0.00007897818,0.0000715524,0.000011959704,0.003318407],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99983025,0.000041841005,0.0000099832405,0.000035514306,0.000045388413,0.000036962647],"domain_scores_gemma":[0.9997162,0.00004262474,0.0001216678,0.000023163884,0.0000618355,0.00003447254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065521005,0.00033573754,0.00018359332,0.0006120353,0.0004082184,0.000997733,0.000539383,0.0007468701,0.0018599312],"category_scores_gemma":[0.00069675065,0.000119000775,0.00018044183,0.00062744453,0.00047890862,0.0008104792,0.00040267635,0.0002948101,0.0002116705],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005926173,0.0007833561,0.07278653,0.0017037578,0.00054150703,0.0007724905,0.00091178366,0.06530075,0.31562343,0.09091095,0.014992556,0.43508023],"study_design_scores_gemma":[0.00084134453,0.0012053009,0.17924374,0.00052601565,0.0010009746,0.0016034641,0.006405965,0.14058137,0.1325624,0.22886387,0.3069433,0.00022231163],"about_ca_topic_score_codex":0.0029737246,"about_ca_topic_score_gemma":0.010274051,"teacher_disagreement_score":0.0029737246,"about_ca_system_score_codex":0.0010050059,"about_ca_system_score_gemma":0.0012616807,"threshold_uncertainty_score":0.007291913},"labels":[],"label_agreement":null},{"id":"W1987353489","doi":"10.1007/s10584-008-9458-1","title":"Improving the way we think about projecting future energy use and emissions of carbon dioxide","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":151,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Overconfidence effect; Futures contract; Scenario planning; Relevance (law); Variety (cybernetics); Probabilistic logic; Futures studies; Task (project management); Scenario analysis; Ranking (information retrieval); Energy (signal processing); Computer science; Risk analysis (engineering); Psychology; Economics; Business; Marketing; Artificial intelligence; Social psychology; Political science","score_opus":0.23344313284463408,"score_gpt":0.35783320498038584,"score_spread":0.12439007213575176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987353489","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2184262,0.010774698,0.43875685,0.27580506,0.002022417,0.00018799561,0.0012773367,0.0007339648,0.052015558],"genre_scores_gemma":[0.7794037,0.0078035523,0.20093115,0.008230548,0.00044927906,0.00012581772,0.0007029968,0.0001471333,0.0022058422],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99002904,0.0072630723,0.0003764013,0.00059415813,0.0012076432,0.0005298105],"domain_scores_gemma":[0.98329043,0.009871238,0.0017740518,0.0009999899,0.0028599063,0.0012043533],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.018825162,0.0014308671,0.001073205,0.0016202534,0.0016616825,0.009244885,0.0021300935,0.005217952,0.0050447346],"category_scores_gemma":[0.040143967,0.00063282443,0.0013924482,0.0018063629,0.0038165364,0.011564666,0.0027198326,0.006719694,0.0008743581],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056901964,0.0011062876,0.064777546,0.00235723,0.0022802933,0.00027523626,0.0048941183,0.22630563,0.007316318,0.34178647,0.041774407,0.30655754],"study_design_scores_gemma":[0.000073631156,0.00015719685,0.017572619,0.0007914144,0.00039887676,0.00010369062,0.0062590153,0.097995915,0.00518616,0.8343839,0.036817223,0.0002604565],"about_ca_topic_score_codex":0.016594423,"about_ca_topic_score_gemma":0.020278336,"teacher_disagreement_score":0.9811748,"about_ca_system_score_codex":0.0032023145,"about_ca_system_score_gemma":0.0058924817,"threshold_uncertainty_score":0.099558115},"labels":[],"label_agreement":null},{"id":"W1988216264","doi":"10.1007/s10584-008-9408-y","title":"Climate change, weather variability and corn yield at a higher latitude locale: Southwestern Quebec","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"","keywords":"Precipitation; Latitude; Yield (engineering); Climate change; Environmental science; Agriculture; Climatology; Growing season; Mean radiant temperature; Crop yield; Climate model; Atmospheric sciences; Agronomy; Geography; Ecology; Meteorology; Biology; Geology","score_opus":0.1185728058995361,"score_gpt":0.2521795664232,"score_spread":0.13360676052366388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988216264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767226,0.00014376578,0.0000978757,0.0002624135,0.000008575012,0.000008336692,0.000755917,0.000009850022,0.0010409947],"genre_scores_gemma":[0.99713516,0.0000872443,0.000103414844,0.00005440326,0.000004625013,0.0000062158183,0.0004337913,0.000005171413,0.0021701066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998149,0.000032405722,0.000008121892,0.00004300461,0.00002868284,0.000072806426],"domain_scores_gemma":[0.99914086,0.00012044124,0.00012455239,0.00003700196,0.00037146572,0.00020558656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035403718,0.00021382129,0.00031746973,0.0005733658,0.0019735994,0.0010845467,0.0006798678,0.00034779447,0.0030156174],"category_scores_gemma":[0.000776239,0.00014867919,0.00033346977,0.00143398,0.0005520733,0.00044850327,0.00033587852,0.0005362028,0.0001789923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017846985,0.000106501866,0.9877357,0.000019593126,0.00011760564,0.00023957757,0.0012825582,0.0009144762,0.0012897324,0.0003072516,0.0018778744,0.005930812],"study_design_scores_gemma":[0.000013002764,0.000011218011,0.9971607,0.0000074238233,0.000020665519,0.000024619649,0.0010392118,0.0008296831,0.000060351835,0.000017678733,0.00080788106,0.000007716015],"about_ca_topic_score_codex":0.9953472,"about_ca_topic_score_gemma":0.99844176,"teacher_disagreement_score":0.01300447,"about_ca_system_score_codex":0.01300447,"about_ca_system_score_gemma":0.008273883,"threshold_uncertainty_score":0.09435445},"labels":[],"label_agreement":null},{"id":"W1989864016","doi":"10.1007/s10584-014-1241-x","title":"Challenges of climate change in tropical basins: vulnerability of eco-agrosystems and human populations","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Foreign Affairs and International Trade Canada; Centro de Pesquisa do Pantanal; Ministerio de Ciencia e Innovación; Institut de Recherche pour le Développement","keywords":"Vulnerability (computing); Climate change; Adaptive capacity; Geography; Environmental resource management; Vulnerability assessment; Agriculture; Environmental protection; Environmental planning; Ecology; Environmental science; Psychological resilience","score_opus":0.18908921295714334,"score_gpt":0.33100685661186247,"score_spread":0.14191764365471912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989864016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94364375,0.005274602,0.003162372,0.025579037,0.00010576524,0.000031247364,0.0006954313,0.000024748773,0.021483077],"genre_scores_gemma":[0.9969926,0.0020407753,0.00015751521,0.0003099617,0.00005435462,0.000008416517,0.000042209274,0.0000033494016,0.0003909457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992156,0.0003575193,0.00002236651,0.000071948816,0.0000762277,0.0002562425],"domain_scores_gemma":[0.9987167,0.0004427452,0.0003446165,0.00008171173,0.00018303805,0.0002312265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011519815,0.0002442852,0.00038905456,0.0008135666,0.001552995,0.0026223476,0.00057544943,0.0011671397,0.0042781844],"category_scores_gemma":[0.003069945,0.00019736578,0.0003380866,0.0019492677,0.0027405326,0.0025406494,0.0027961219,0.0010292458,0.00014306343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023996927,0.0002025102,0.74052954,0.00055674353,0.0006626939,0.0020784622,0.010772703,0.05102399,0.0034748518,0.1066114,0.009271451,0.07457566],"study_design_scores_gemma":[0.000018070441,0.00017093672,0.7479563,0.00027079025,0.00015679366,0.0011350515,0.046057552,0.025529973,0.0006542958,0.14866479,0.029290197,0.00009533507],"about_ca_topic_score_codex":0.027513847,"about_ca_topic_score_gemma":0.039069813,"teacher_disagreement_score":0.027513847,"about_ca_system_score_codex":0.0022853818,"about_ca_system_score_gemma":0.0022229669,"threshold_uncertainty_score":0.054707408},"labels":[],"label_agreement":null},{"id":"W1990438251","doi":"10.1007/s10584-014-1125-0","title":"Oscillatory dynamics do not mask linear trends in the timing of ice breakup for Northern Hemisphere lakes from 1855 to 2004","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Wisconsin-Madison","keywords":"Northern Hemisphere; Climatology; Breakup; North Atlantic oscillation; Southern Hemisphere; Environmental science; Climate change; Pacific decadal oscillation; Oscillation (cell signaling); El Niño Southern Oscillation; Atmospheric sciences; Geology; Oceanography; Physics","score_opus":0.035094364585807405,"score_gpt":0.2501101650546317,"score_spread":0.2150158004688243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990438251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981996,0.00017412676,0.000104408275,0.00009711431,0.000011582203,0.0000019701247,0.00053751667,0.00000880563,0.00086480146],"genre_scores_gemma":[0.9992248,0.00002986249,0.00003731003,0.000023336155,0.000008439006,0.0000023580506,0.00051268336,0.0000038943813,0.00015733417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967885,0.000063707754,0.000033568427,0.00009185701,0.00002679337,0.00010514207],"domain_scores_gemma":[0.99827504,0.00050986913,0.00070049166,0.00015869143,0.00017840354,0.0001775933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001031508,0.00019592636,0.00023264358,0.001035807,0.00052393373,0.00084531354,0.0004261331,0.00036940293,0.0026381225],"category_scores_gemma":[0.004145462,0.00024171766,0.00050472235,0.0011004773,0.00058388757,0.0010060669,0.0009024153,0.0003368314,0.0002817688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010057227,0.00000935278,0.99557793,0.000016254391,0.00010772382,0.000031179112,0.00040737443,0.00020216004,0.0005660504,0.00008953285,0.00036376214,0.0025280903],"study_design_scores_gemma":[0.0000018138898,0.000008322443,0.99927884,0.0000047420303,0.0000163817,0.000011528273,0.00016385848,0.00025712262,0.000037952654,0.000025524178,0.00019240523,0.0000014765803],"about_ca_topic_score_codex":0.046846543,"about_ca_topic_score_gemma":0.10632505,"teacher_disagreement_score":0.046846543,"about_ca_system_score_codex":0.00057262817,"about_ca_system_score_gemma":0.00056947704,"threshold_uncertainty_score":0.093147695},"labels":[],"label_agreement":null},{"id":"W1990690946","doi":"10.1007/s10584-013-0927-9","title":"Biofuel’s carbon balance: doubts, certainties and implications","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Environment and Primary Industries; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Biofuel; Greenhouse gas; Fossil fuel; Environmental science; Natural resource economics; Carbon neutrality; Climate change; Atmospheric carbon cycle; Biochemical engineering; Carbon cycle; Economics; Ecology; Waste management; Ecosystem; Engineering","score_opus":0.0303344982974196,"score_gpt":0.2221228557787034,"score_spread":0.19178835748128378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990690946","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012089776,0.13469912,0.004480232,0.81416327,0.010041102,0.000017008138,0.00032797852,0.00007909493,0.024102502],"genre_scores_gemma":[0.5805153,0.20311096,0.007897522,0.17431998,0.023017272,0.0001081293,0.00043397283,0.00019364039,0.010403163],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99588543,0.001217167,0.00020111987,0.0006662465,0.0016637772,0.00036632398],"domain_scores_gemma":[0.982238,0.011515477,0.001043144,0.0008811493,0.0032420899,0.0010801515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010200303,0.0011405163,0.0015388114,0.0019795557,0.0030323593,0.0072418735,0.0025360328,0.007356101,0.006262316],"category_scores_gemma":[0.028545415,0.00035075028,0.0006626529,0.0020489555,0.017917966,0.017903723,0.004482374,0.013115271,0.0012385513],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037323873,0.00015246164,0.0016858937,0.0010601467,0.00012100063,0.000572551,0.0010439571,0.0042036236,0.0013887861,0.6285459,0.1506643,0.21018815],"study_design_scores_gemma":[0.000019292835,0.000046115005,0.0007143335,0.0007632735,0.000016912989,0.00014323286,0.0018927917,0.001218663,0.00039844014,0.8946376,0.10008689,0.000062532046],"about_ca_topic_score_codex":0.008527196,"about_ca_topic_score_gemma":0.0056703785,"teacher_disagreement_score":0.010200303,"about_ca_system_score_codex":0.0062951883,"about_ca_system_score_gemma":0.0045055025,"threshold_uncertainty_score":0.053945005},"labels":[],"label_agreement":null},{"id":"W1991672303","doi":"10.1007/s10584-006-9145-z","title":"Modeling responses of the meadow steppe dominated by Leymus chinensis to climate change","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant Parasitism and Resistance","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Grassland; Environmental science; Steppe; Primary production; Climate change; Leymus; Ecosystem; Carbon sequestration; Soil carbon; Carbon cycle; Grassland ecosystem; Precipitation; Atmospheric sciences; Cycling; Global change; Terrestrial ecosystem; Climatology; Ecology; Carbon dioxide; Soil science; Forestry; Soil water; Geography; Meteorology; Biology","score_opus":0.056779356840519796,"score_gpt":0.2676052274819829,"score_spread":0.2108258706414631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991672303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99907947,0.000018079078,0.00023959352,0.00005661246,0.0000041088183,0.0000031120378,0.00012124976,0.00001739852,0.0004603994],"genre_scores_gemma":[0.99946064,0.000015141144,0.00016912613,0.000011626247,0.0000020390914,0.000004308868,0.00008725441,0.0000056127265,0.00024425736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999137,0.000025189429,0.0000032132114,0.000021009395,0.000005305385,0.000031537485],"domain_scores_gemma":[0.99959165,0.00023653121,0.000036197485,0.000018862544,0.00004503398,0.00007169714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003143918,0.00048054586,0.000395776,0.0003351753,0.0005400793,0.0007757387,0.0009991993,0.0012564085,0.0020193597],"category_scores_gemma":[0.00092192274,0.00034488164,0.0008818103,0.00040463515,0.00039188823,0.0005784243,0.00033494242,0.00047561736,0.0001279379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017962353,0.00008595571,0.03184014,0.000025516712,0.00010704289,0.00011909892,0.000044652214,0.9623592,0.0035673259,0.00049057754,0.00018953977,0.0009912145],"study_design_scores_gemma":[0.000030284922,0.000046431367,0.0119058415,0.0000017099474,0.0000349518,0.000014605737,0.000066635315,0.98721457,0.0004356091,0.00014956685,0.00008930757,0.0000104110595],"about_ca_topic_score_codex":0.16582534,"about_ca_topic_score_gemma":0.11547006,"teacher_disagreement_score":0.16582534,"about_ca_system_score_codex":0.0018924373,"about_ca_system_score_gemma":0.0012833585,"threshold_uncertainty_score":0.32972026},"labels":[],"label_agreement":null},{"id":"W1993314611","doi":"10.1007/s10584-015-1326-1","title":"Sensitivity of lake thermal and mixing dynamics to climate change","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":268,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lomonosov Moscow State University; Université du Québec à Montréal; Helsingin Yliopisto; Office of Research and Development; National Center for Atmospheric Research; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Sensitivity (control systems); Mixing (physics); Environmental science; Climate change; Climatology; Thermal; Atmospheric sciences; Climate sensitivity; Meteorology; Geology; Climate model; Oceanography; Geography; Physics","score_opus":0.04696963569312745,"score_gpt":0.2543757635734893,"score_spread":0.20740612788036183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993314611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99902475,0.000019434116,0.00019775142,0.00006377594,0.0000029410185,0.0000033287638,0.00021981276,0.000017535023,0.0004506069],"genre_scores_gemma":[0.99965656,0.000017311735,0.0000699245,0.000011242027,0.0000013876034,0.0000034092113,0.00018674899,0.0000027864953,0.000050559822],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983954,0.000051045372,0.000010234439,0.000037293918,0.000019742547,0.000042088282],"domain_scores_gemma":[0.9996785,0.00012554617,0.0000674557,0.000029741726,0.00005637183,0.000042447726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003822917,0.00025843875,0.00019992232,0.00031970185,0.00037301835,0.0006574105,0.00022753356,0.0003937411,0.0009313591],"category_scores_gemma":[0.0012305967,0.00019105876,0.00044014657,0.00038908032,0.00031358656,0.0005662865,0.00054062187,0.00034293134,0.00008884856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005852635,0.00017731814,0.54398555,0.00007468332,0.00044998844,0.00027344085,0.00023931159,0.42350274,0.01947686,0.0017268023,0.0012135137,0.008294613],"study_design_scores_gemma":[0.00005931185,0.00020543412,0.45039946,0.000012723079,0.00008671021,0.00008043366,0.00032898042,0.54170054,0.0047158278,0.0013229519,0.001039003,0.000048540347],"about_ca_topic_score_codex":0.019809851,"about_ca_topic_score_gemma":0.013268773,"teacher_disagreement_score":0.019809851,"about_ca_system_score_codex":0.0009352834,"about_ca_system_score_gemma":0.0003500294,"threshold_uncertainty_score":0.039389074},"labels":[],"label_agreement":null},{"id":"W1993429053","doi":"10.1007/s10584-006-9064-z","title":"Inuit and Scientific Perspectives on the Relationship Between Sea Ice and Climate Change: The Ideal Complement?","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":243,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Climate change; Sea ice; Circumpolar star; Vulnerability (computing); Arctic; Geography; Climatology; Oceanography; Geology; Meteorology; Computer science","score_opus":0.09271287625453188,"score_gpt":0.27566475198403984,"score_spread":0.18295187572950794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993429053","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008359602,0.0661259,0.0025999383,0.8445287,0.0046036667,0.000009869655,0.00013346747,0.000024373108,0.07361448],"genre_scores_gemma":[0.7016747,0.13984533,0.005021371,0.11414379,0.024170436,0.00015564822,0.00025339244,0.00008642828,0.014648896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99624735,0.002017289,0.00019454335,0.0002726919,0.0007843717,0.0004836952],"domain_scores_gemma":[0.98466045,0.010244624,0.0012043187,0.0007636456,0.0020634797,0.0010635598],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.013555741,0.00063191645,0.0012535092,0.0028761742,0.006027077,0.011959328,0.002453587,0.006444627,0.013302272],"category_scores_gemma":[0.016318407,0.00026741117,0.0005420555,0.0040314556,0.026866915,0.019241303,0.0056742216,0.008218815,0.000570391],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074196236,0.0000464885,0.0012792901,0.00026719802,0.000027301698,0.00026361906,0.007118852,0.00015827968,0.00011432807,0.9584883,0.014956781,0.01720535],"study_design_scores_gemma":[0.00002826811,0.00003594355,0.0018178186,0.0008530953,0.000042088202,0.0002297777,0.028071236,0.00046158355,0.00014664387,0.71356976,0.25471196,0.00003171251],"about_ca_topic_score_codex":0.041230623,"about_ca_topic_score_gemma":0.05624481,"teacher_disagreement_score":0.9939729,"about_ca_system_score_codex":0.007975252,"about_ca_system_score_gemma":0.01026413,"threshold_uncertainty_score":0.08198124},"labels":[],"label_agreement":null},{"id":"W1996092840","doi":"10.1007/s10584-010-9881-y","title":"Long-term changes in heat and moisture related to corn production on the Canadian Prairies","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Agriculture Food and Rural Development","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Precipitation; Growing season; Crop; Agriculture; Trend analysis; Climate change; Agricultural productivity; Geography; Agronomy; Forestry; Meteorology; Ecology; Biology; Mathematics","score_opus":0.017359021621205842,"score_gpt":0.22305748208668993,"score_spread":0.2056984604654841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996092840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990814,0.000082307204,0.000040157956,0.00007651854,0.000001784426,0.0000045133643,0.00033751954,0.0000035374624,0.00037226084],"genre_scores_gemma":[0.99893314,0.00009071115,0.000077057244,0.000019256908,0.0000021115225,0.0000043520513,0.0003679254,0.0000027147441,0.000502652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997323,0.000022525948,0.000009876717,0.000058003367,0.00007270715,0.00010455173],"domain_scores_gemma":[0.9989305,0.00015799141,0.00018634624,0.000045056844,0.0004489191,0.00023117612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003962268,0.00019953573,0.00033363482,0.0008770043,0.0016980433,0.0007564159,0.0008602759,0.0004407617,0.0013520232],"category_scores_gemma":[0.0014418131,0.0003189216,0.0003172646,0.001964683,0.0015716577,0.0005030828,0.00070183555,0.00065667945,0.0001340873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026153313,0.000066175264,0.9835276,0.000033539385,0.0001367296,0.0001978187,0.0017762075,0.0014198802,0.005023721,0.0002513936,0.00063771976,0.0066676927],"study_design_scores_gemma":[0.0000016396741,0.0000034275183,0.99933404,0.0000013965802,0.0000043939,0.000008571465,0.00025824495,0.00015500645,0.00004332056,0.000009314677,0.00017690832,0.0000036952458],"about_ca_topic_score_codex":0.9772348,"about_ca_topic_score_gemma":0.9942796,"teacher_disagreement_score":0.02276522,"about_ca_system_score_codex":0.013646871,"about_ca_system_score_gemma":0.0069942116,"threshold_uncertainty_score":0.099015415},"labels":[],"label_agreement":null},{"id":"W1999734582","doi":"10.1007/s10584-006-9048-z","title":"Synchronicity in Climate and Vegetation Transitions Between Europe and North America During the Holocene","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Holocene; Vegetation (pathology); Climate change; Pollen; Physical geography; Abrupt climate change; Glacial period; Radiocarbon dating; Climatology; Geology; Holocene climatic optimum; Oceanography; Geography; Global warming; Ecology; Effects of global warming; Paleontology","score_opus":0.02913358653459699,"score_gpt":0.2361886560318835,"score_spread":0.2070550694972865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999734582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99874747,0.00031335384,0.00006262721,0.000086489206,0.000008370969,0.0000015593539,0.000101800295,0.0000027254941,0.0006756386],"genre_scores_gemma":[0.99958676,0.00011677148,0.000026389285,0.000016155218,0.000007232361,0.0000014467687,0.00014936028,0.0000022846223,0.00009358848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997931,0.000048152,0.00002516188,0.00006628134,0.000021062991,0.00004624642],"domain_scores_gemma":[0.9988657,0.0003629577,0.00035677807,0.00007973134,0.00018333897,0.00015144671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007549346,0.0000934428,0.0002463613,0.0011685137,0.000538733,0.0012490056,0.00025510904,0.00036833234,0.0014003969],"category_scores_gemma":[0.0026673551,0.00018292616,0.00017255874,0.001276916,0.0006738507,0.0008888232,0.000984769,0.0003681184,0.00009674033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006222072,0.000036307996,0.98350555,0.00004083783,0.00015608364,0.00014630574,0.0032495633,0.00071419653,0.0026361467,0.0008475892,0.00030181403,0.007743401],"study_design_scores_gemma":[0.0000046089026,0.000008311586,0.99894077,0.0000042291895,0.000009179141,0.000016358721,0.00046953454,0.000091159076,0.000042117314,0.00006865762,0.00034333803,0.0000017880415],"about_ca_topic_score_codex":0.022340167,"about_ca_topic_score_gemma":0.07054,"teacher_disagreement_score":0.022340167,"about_ca_system_score_codex":0.00067373674,"about_ca_system_score_gemma":0.0005601894,"threshold_uncertainty_score":0.044420302},"labels":[],"label_agreement":null},{"id":"W2000563225","doi":"10.1023/b:clim.0000004551.55871.eb","title":"Vulnerability Assessment of the Maize and Sorghum Crops to Climate Change in Botswana","year":2003,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":125,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Sorghum; Climate change; Environmental science; Food security; Crop; Vulnerability (computing); Agronomy; Agriculture; Arid; Geography; Global warming; Yield (engineering); Agroforestry; Biology; Ecology","score_opus":0.0908953807529335,"score_gpt":0.32211804491531687,"score_spread":0.23122266416238335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000563225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991567,0.000032422337,0.00012390112,0.00005291875,0.0000011766689,0.000006829421,0.000056228986,0.0000016097794,0.0005682911],"genre_scores_gemma":[0.99953985,0.00004091815,0.00011601422,0.00001012241,3.4473922e-7,0.000005480513,0.000043112752,7.4044874e-7,0.00024345085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998466,0.000057163328,0.0000062602717,0.00001496978,0.00001820425,0.000056728055],"domain_scores_gemma":[0.9996425,0.00013784792,0.00005787064,0.000020709127,0.00008398283,0.00005696007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045284198,0.0002579587,0.00017390691,0.0008444211,0.00047537984,0.000451625,0.0003210323,0.0003039632,0.00060028775],"category_scores_gemma":[0.0008621509,0.0001395803,0.00031778164,0.0010086347,0.0002240796,0.00025726802,0.0005834873,0.00023649428,0.00003774417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015384908,0.00013355851,0.8517963,0.00015619413,0.0003135369,0.003740949,0.0030048892,0.05344353,0.03599105,0.0052909306,0.0007274461,0.043863002],"study_design_scores_gemma":[0.000060007693,0.0004087686,0.9255213,0.00005385841,0.00017442355,0.000524542,0.005090551,0.059982594,0.0033467421,0.002346822,0.002461099,0.000029173794],"about_ca_topic_score_codex":0.13151729,"about_ca_topic_score_gemma":0.23270734,"teacher_disagreement_score":0.13151729,"about_ca_system_score_codex":0.0030790123,"about_ca_system_score_gemma":0.0012966847,"threshold_uncertainty_score":0.26150358},"labels":[],"label_agreement":null},{"id":"W2000613115","doi":"10.1007/s10584-015-1373-7","title":"Mitigating risks of future wildfires by management of the forest composition: an analysis of the offsetting potential through boreal Canada","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada","keywords":"Boreal; Taiga; Climate change; Environmental science; Physical geography; Ecology; Climatology; Geography; Agroforestry; Forestry; Geology; Biology","score_opus":0.029911543911659885,"score_gpt":0.258710829454577,"score_spread":0.22879928554291712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000613115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99682754,0.0003041348,0.00019961022,0.00023527167,0.0000052216715,0.000027942227,0.00036675791,0.000007905902,0.0020255821],"genre_scores_gemma":[0.99817824,0.00039021816,0.0002917133,0.000042761487,0.0000027179572,0.0000071043505,0.00020531309,0.000004423079,0.0008774878],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940157,0.00009557531,0.000016997885,0.000044351593,0.0001474534,0.00029395195],"domain_scores_gemma":[0.9987986,0.00018041611,0.00016674008,0.000036991052,0.0004951005,0.0003221677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007982315,0.00051704893,0.0003784968,0.0007455507,0.0023703994,0.0016754016,0.0013520934,0.0005161168,0.0011214238],"category_scores_gemma":[0.0020371587,0.0002605034,0.0008287991,0.0015674751,0.0009784992,0.00049601396,0.0006920426,0.00061524665,0.000043851975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086027925,0.00035090253,0.89268565,0.00012722987,0.0009759264,0.0007001936,0.0010114068,0.07297657,0.003052533,0.004409032,0.002529642,0.020320617],"study_design_scores_gemma":[0.00006774048,0.00017350761,0.9507788,0.000040019022,0.000481082,0.00014779269,0.004004474,0.03921444,0.0006311263,0.0008398017,0.0035555356,0.00006568589],"about_ca_topic_score_codex":0.99157614,"about_ca_topic_score_gemma":0.9965406,"teacher_disagreement_score":0.023683796,"about_ca_system_score_codex":0.023683796,"about_ca_system_score_gemma":0.030630222,"threshold_uncertainty_score":0.17183876},"labels":[],"label_agreement":null},{"id":"W2000853358","doi":"10.1007/s10584-015-1391-5","title":"Testing competing models of the temperature hiatus: assessing the effects of conditioning variables and temporal uncertainties through sample-wide break detection","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Prairie Oat Growers Association; Open Society Foundations","keywords":"Hiatus; Sample (material); Slowdown; Climatology; Econometrics; Statistics; Geology; Economics; Mathematics; Thermodynamics","score_opus":0.06809736897237949,"score_gpt":0.27451520686829645,"score_spread":0.20641783789591694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000853358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9583975,0.00034270633,0.038970713,0.00084254314,0.000088586894,0.00012970157,0.00053723983,0.00013329042,0.00055778184],"genre_scores_gemma":[0.99245375,0.000070942944,0.005685976,0.00019751888,0.000057691337,0.000100443765,0.0009624434,0.00004956599,0.00042166907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9729557,0.019829737,0.0011051653,0.004372519,0.0007873109,0.0009495885],"domain_scores_gemma":[0.39476612,0.57584417,0.011176334,0.011882988,0.0024819968,0.003848462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.111094,0.002202717,0.0036858614,0.00124704,0.0018060171,0.0046322434,0.00887554,0.0053732865,0.0057348125],"category_scores_gemma":[0.20868708,0.0017251553,0.0054070256,0.0012397604,0.005347878,0.006405478,0.0053115883,0.005668535,0.0004303505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019083604,0.0015088948,0.1803988,0.00043489877,0.006840483,0.00063899404,0.0011591605,0.7420415,0.001431248,0.022515533,0.0015485866,0.022398252],"study_design_scores_gemma":[0.0010931531,0.0016361144,0.018463463,0.0000326533,0.0008776489,0.00013080191,0.0003015184,0.96007824,0.00071637495,0.016267372,0.0003149491,0.00008778468],"about_ca_topic_score_codex":0.011693968,"about_ca_topic_score_gemma":0.008248883,"teacher_disagreement_score":0.111094,"about_ca_system_score_codex":0.0028185786,"about_ca_system_score_gemma":0.0030570491,"threshold_uncertainty_score":0.5875282},"labels":[],"label_agreement":null},{"id":"W2002352490","doi":"10.1007/s10584-012-0532-3","title":"Divergent options to cope with vulnerability in subsiding deltas","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Delta; Storm surge; Flood myth; Coastal flood; Population; River delta; Flooding (psychology); Natural hazard; Environmental science; Geography; Climate change; Hydrology (agriculture); Physical geography; Geology; Storm; Oceanography; Sea level rise","score_opus":0.1260107502409487,"score_gpt":0.3089927149991035,"score_spread":0.1829819647581548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002352490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9567603,0.00019093577,0.009016574,0.0017202412,0.00001447277,0.00004364546,0.00006749564,0.000040072802,0.032146152],"genre_scores_gemma":[0.99737036,0.000049937444,0.0014135941,0.00005390043,0.0000041241906,0.000013708433,0.000021328638,0.000006316963,0.0010666099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989318,0.00048798483,0.000042192674,0.00012516702,0.00015327787,0.0002595733],"domain_scores_gemma":[0.99878603,0.00023418668,0.00022010064,0.00016554426,0.00016576322,0.00042841933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001427122,0.0003505903,0.0003598121,0.0012019211,0.0015273774,0.003852466,0.0007966559,0.0009876188,0.0034453655],"category_scores_gemma":[0.004358952,0.00023519681,0.00042106843,0.0008808194,0.0025768958,0.0020305193,0.0041136667,0.00094000256,0.00032197236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044240616,0.00029368396,0.39248416,0.00020138417,0.00032787878,0.0033697998,0.03244841,0.056261286,0.012780574,0.36458343,0.0030846118,0.13372235],"study_design_scores_gemma":[0.00007757831,0.00041551952,0.35069495,0.00023595951,0.000115396164,0.0019524622,0.06147693,0.06082735,0.0011809998,0.48461282,0.038258176,0.00015182202],"about_ca_topic_score_codex":0.002005596,"about_ca_topic_score_gemma":0.0051621324,"teacher_disagreement_score":0.003852466,"about_ca_system_score_codex":0.0013000427,"about_ca_system_score_gemma":0.0011356284,"threshold_uncertainty_score":0.011525869},"labels":[],"label_agreement":null},{"id":"W2003546662","doi":"10.1007/s10584-011-0035-7","title":"Predicting the response of hard and soft rock coasts to changes in sea level and wave height","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cliff; Intertidal zone; Storm; Geology; Sea level; Oceanography; Climate change; Holocene; Wave height; Storm surge; Climatology; Paleontology","score_opus":0.10948305496224114,"score_gpt":0.22965018604558327,"score_spread":0.12016713108334212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003546662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99881566,0.000013861963,0.0006158015,0.000060904462,0.000007619482,0.0000055984747,0.0001629529,0.000025915615,0.00029176127],"genre_scores_gemma":[0.99871147,0.000017857185,0.00064581,0.000008719753,0.0000048972197,0.000004013855,0.00030530296,0.000004604427,0.00029722892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998909,0.000026266784,0.000008663766,0.000034235218,0.000010879904,0.000029060042],"domain_scores_gemma":[0.9990331,0.00057561335,0.000083398074,0.00005012398,0.00008759553,0.0001701298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063286995,0.00046351462,0.00039304185,0.00052916264,0.0003929482,0.0009623395,0.00048778785,0.00094218046,0.0016062901],"category_scores_gemma":[0.002156053,0.00047263294,0.00065573043,0.0005314689,0.00042319798,0.0005463077,0.00042710896,0.0007947459,0.00028817257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000384594,0.00015632958,0.3069964,0.000019382738,0.00011354502,0.00011712095,0.00006505336,0.6803259,0.0032217987,0.00023042478,0.00045483242,0.007914555],"study_design_scores_gemma":[0.000039112783,0.00006319485,0.08344884,0.0000024359174,0.000023117404,0.000014330616,0.00011400703,0.9154743,0.0004927968,0.00022371215,0.00009330905,0.000010861259],"about_ca_topic_score_codex":0.060352962,"about_ca_topic_score_gemma":0.057118155,"teacher_disagreement_score":0.060352962,"about_ca_system_score_codex":0.0006972134,"about_ca_system_score_gemma":0.000719354,"threshold_uncertainty_score":0.12000334},"labels":[],"label_agreement":null},{"id":"W2004171144","doi":"10.1007/s10584-012-0470-0","title":"Variability and change in the Canadian cryosphere","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; University of Toronto; Institut National de la Recherche Scientifique; University of Ottawa; Natural Resources Canada; University of Alberta; Carleton University; University of Waterloo; Geological Survey of Canada; Environment and Climate Change Canada","funders":"Natural Resources Canada; Aboriginal Affairs and Northern Development Canada; Government of Canada; Australian Government","keywords":"Cryosphere; Glacier; Permafrost; Arctic; Climatology; Environmental science; Climate change; Snow; Sea ice; Physical geography; Future sea level; Arctic ice pack; Global warming; Antarctic sea ice; Geology; Oceanography; Geography; Meteorology","score_opus":0.10291748994659572,"score_gpt":0.2627854111393034,"score_spread":0.1598679211927077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004171144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97839695,0.0015012331,0.00039873592,0.001034227,0.00004337545,0.00001467523,0.01146719,0.000036268306,0.0071074674],"genre_scores_gemma":[0.9963117,0.0003768525,0.00017306357,0.0000655131,0.000010121686,0.000004660069,0.0024659042,0.000006454802,0.0005858069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996505,0.000019136316,0.000010491317,0.00008979765,0.00014636677,0.000083739804],"domain_scores_gemma":[0.9982382,0.00009661497,0.00017455131,0.000049175193,0.0012780608,0.00016332451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006224971,0.00017531544,0.00017064436,0.0015636605,0.0015342092,0.0011525814,0.0005729642,0.00023597376,0.0012572238],"category_scores_gemma":[0.0017486871,0.000113729984,0.00020680485,0.00404791,0.00050840795,0.0003565015,0.0005034546,0.0004034706,0.00010100889],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120370845,0.000025425352,0.96561176,0.00006490765,0.00021811585,0.00006673164,0.0012428134,0.0014080955,0.0020100973,0.0012590028,0.0059467796,0.02202585],"study_design_scores_gemma":[0.0000017004867,0.000002723524,0.99563366,0.000008415255,0.000008395159,0.000008035646,0.00024299,0.0005564399,0.00011452722,0.00003681744,0.0033802746,0.000006036159],"about_ca_topic_score_codex":0.9915599,"about_ca_topic_score_gemma":0.99388087,"teacher_disagreement_score":0.014461234,"about_ca_system_score_codex":0.014461234,"about_ca_system_score_gemma":0.012205028,"threshold_uncertainty_score":0.10492408},"labels":[],"label_agreement":null},{"id":"W2004848061","doi":"10.1007/s10584-015-1375-5","title":"Increasing frequency of extreme fire weather in Canada with climate change","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":209,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Alberta Environment and Protected Areas; University of Alberta","funders":"","keywords":"Climate change; Environmental science; Temperate climate; Extreme weather; Taiga; Boreal; Fire regime; Climatology; Percentile; Temperate rainforest; Geography; Physical geography; Ecosystem; Ecology; Forestry; Geology","score_opus":0.054601083324030526,"score_gpt":0.2196266627503098,"score_spread":0.16502557942627927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004848061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868181,0.0014246128,0.000285564,0.002180901,0.00007438556,0.000013489339,0.002947287,0.000032721047,0.0062230825],"genre_scores_gemma":[0.9958016,0.0005481617,0.0001232353,0.00028077653,0.000028241426,0.0000035199566,0.00082046364,0.000008956316,0.00238497],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994962,0.00002862987,0.000026383297,0.00007866621,0.00016907814,0.00020104066],"domain_scores_gemma":[0.9975569,0.00019117568,0.00047495053,0.00007116825,0.0010908231,0.00061489845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045698322,0.00016608424,0.00027889913,0.001419641,0.0020421534,0.0017878796,0.0008813349,0.00089002866,0.0054933685],"category_scores_gemma":[0.0025610488,0.00021330387,0.0004253472,0.0030285562,0.00079570943,0.00052390277,0.0008130966,0.0011720887,0.00020480604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011967455,0.000030446963,0.98735154,0.000042537926,0.00009849034,0.00013507389,0.00066121045,0.0005548036,0.0006512269,0.0002444345,0.002219587,0.007890883],"study_design_scores_gemma":[0.000002606384,0.0000036552533,0.99773586,0.0000085936435,0.000010104729,0.000040011884,0.0005667658,0.00023824461,0.0000513773,0.000032188982,0.0013055525,0.000005025336],"about_ca_topic_score_codex":0.98896164,"about_ca_topic_score_gemma":0.99624497,"teacher_disagreement_score":0.014771987,"about_ca_system_score_codex":0.014771987,"about_ca_system_score_gemma":0.016997343,"threshold_uncertainty_score":0.10717875},"labels":[],"label_agreement":null},{"id":"W2006400650","doi":"10.1007/s10584-012-0451-3","title":"Multisite statistical downscaling model for daily precipitation combined by multivariate multiple linear regression and stochastic weather generator","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec; Environment and Climate Change Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Downscaling; Multivariate statistics; Precipitation; Environmental science; Linear regression; Regression analysis; Statistics; Regression; Series (stratigraphy); Climatology; Mathematics; Meteorology; Geography","score_opus":0.06692482095126402,"score_gpt":0.30302062894074555,"score_spread":0.23609580798948154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006400650","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060507566,0.00012886987,0.9359279,0.00020128259,0.00008906462,0.00003736657,0.0005385101,0.0012704404,0.0012989342],"genre_scores_gemma":[0.8719701,0.00020086995,0.119385645,0.000091951464,0.00012170258,0.00018688032,0.0013417198,0.00032127995,0.0063797543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961096,0.000102468686,0.0000247089,0.00014187173,0.000073515876,0.000046505862],"domain_scores_gemma":[0.99940956,0.0002266351,0.000097349955,0.000078365876,0.00015226824,0.000035914116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008487348,0.00058505515,0.0010948704,0.00046024536,0.00035807324,0.00062091183,0.0019048505,0.0008599123,0.0026166542],"category_scores_gemma":[0.0019343577,0.0006304705,0.00090648327,0.00083611027,0.0003352395,0.0011212112,0.0005680313,0.0011259806,0.00050149066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000461183,0.000027411179,0.00076129794,0.0000133303665,0.000036156336,0.0000306266,0.000010342183,0.98687184,0.00092780055,0.0029503666,0.000496425,0.007828299],"study_design_scores_gemma":[0.000002983319,0.0000028927013,0.0001445819,4.4708173e-7,0.0000042224283,0.0000031888098,4.3092228e-7,0.9992918,0.00008738831,0.00039541692,0.00006441803,0.0000022664879],"about_ca_topic_score_codex":0.016963406,"about_ca_topic_score_gemma":0.01655893,"teacher_disagreement_score":0.016963406,"about_ca_system_score_codex":0.00062726194,"about_ca_system_score_gemma":0.0010737829,"threshold_uncertainty_score":0.033729315},"labels":[],"label_agreement":null},{"id":"W2006495505","doi":"10.1007/s10584-012-0576-4","title":"The Arctic Ocean—a Canadian perspective from IPY","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; University of Alberta; University of British Columbia; Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Government of Canada","keywords":"Arctic; Oceanography; Arctic geoengineering; Arctic sea ice decline; Sea ice; Arctic dipole anomaly; Arctic ice pack; Arctic ecology; Upwelling; Climatology; Geology; Environmental science; Ocean gyre; Drift ice; Fishery","score_opus":0.03261755160287805,"score_gpt":0.22927213351507061,"score_spread":0.19665458191219257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006495505","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026286144,0.20432548,0.0007074853,0.50009114,0.006669321,0.000043259795,0.006941399,0.00013295606,0.2548028],"genre_scores_gemma":[0.47623715,0.3547389,0.004328004,0.061437648,0.0030105927,0.00004486998,0.0034389065,0.00015905741,0.09660485],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9983675,0.00011314084,0.000052440046,0.00017908883,0.0007483236,0.0005394488],"domain_scores_gemma":[0.99655676,0.00013724272,0.00012406346,0.00005011909,0.0020790992,0.0010527698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014699503,0.00063404115,0.0003871475,0.003362716,0.009341233,0.0067026187,0.0011374088,0.0017272572,0.008074066],"category_scores_gemma":[0.0020774077,0.0003076938,0.00054323144,0.0060737845,0.0029159414,0.0018836727,0.002842311,0.0035105492,0.0005478204],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002456205,0.000083068764,0.026345724,0.001420921,0.00013065162,0.0013808132,0.006411349,0.0024162305,0.0010032911,0.16170755,0.55017704,0.24867769],"study_design_scores_gemma":[0.000011673609,0.000020065378,0.035739847,0.00095557416,0.000050747618,0.00013304748,0.0044927024,0.0003823319,0.00013481262,0.0027257975,0.9552969,0.000056548095],"about_ca_topic_score_codex":0.9974269,"about_ca_topic_score_gemma":0.9982431,"teacher_disagreement_score":0.10833764,"about_ca_system_score_codex":0.10833764,"about_ca_system_score_gemma":0.22943763,"threshold_uncertainty_score":0.7860483},"labels":[],"label_agreement":null},{"id":"W2007024692","doi":"10.1007/s10584-008-9467-0","title":"Reducing the risk of Atlantic thermohaline circulation collapse: sensitivity analysis of emissions corridors","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Greenhouse gas; Environmental science; Climate change; Climatology; Climate sensitivity; Climate model; Natural resource economics; Atmospheric sciences; Economics; Geology","score_opus":0.02648601889219286,"score_gpt":0.23195043365251508,"score_spread":0.20546441476032223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007024692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98871595,0.00029129893,0.007931465,0.0005396478,0.000032074237,0.00004771897,0.00047871325,0.00006527898,0.0018978763],"genre_scores_gemma":[0.99880517,0.00008740775,0.00075626397,0.000033746353,0.000007808009,0.000009942,0.00009904908,0.0000074418763,0.00019313008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861646,0.0009540443,0.000030416599,0.00010457208,0.000081633814,0.00021274353],"domain_scores_gemma":[0.9881066,0.010200218,0.0007493351,0.0003856588,0.0003156126,0.00024257222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004442629,0.0009922698,0.0008124958,0.0013713881,0.00048995053,0.001395626,0.0010589462,0.00186609,0.0015882319],"category_scores_gemma":[0.014749429,0.00056933024,0.0017329594,0.001001962,0.0007585128,0.0015775972,0.001079268,0.0013660328,0.00006995111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029329956,0.000067940404,0.0038277395,0.00001920513,0.0002161645,0.00007325632,0.00001170391,0.9923849,0.00048778995,0.0009221571,0.0001832604,0.0015123909],"study_design_scores_gemma":[0.00011373755,0.00038191763,0.0077668345,0.00001295091,0.00028502196,0.000057534708,0.00008907046,0.986337,0.0012150214,0.0034431547,0.00025335755,0.000044273125],"about_ca_topic_score_codex":0.02073773,"about_ca_topic_score_gemma":0.01068878,"teacher_disagreement_score":0.02073773,"about_ca_system_score_codex":0.0014217767,"about_ca_system_score_gemma":0.0008341331,"threshold_uncertainty_score":0.041234076},"labels":[],"label_agreement":null},{"id":"W2007795518","doi":"10.1007/s10584-010-9805-x","title":"Hydrologic effects of climate change in the Yukon River Basin","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Surface runoff; Precipitation; Environmental science; Climate change; Snow; Climatology; Drainage basin; Water balance; Climate model; Structural basin; General Circulation Model; Range (aeronautics); Hydrology (agriculture); Meteorology; Geology; Geography","score_opus":0.020452987460388948,"score_gpt":0.2454850637469221,"score_spread":0.22503207628653316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007795518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999059,0.00012233686,0.000023567347,0.00016402488,0.0000035435485,0.0000013338102,0.0001936159,0.0000026104776,0.00042977938],"genre_scores_gemma":[0.9996018,0.000106715466,0.000014479838,0.000014760247,0.0000029283415,0.0000011039358,0.0001319113,0.0000013496507,0.00012486908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982005,0.00005649192,0.00001560571,0.000027599659,0.000020780493,0.000059577866],"domain_scores_gemma":[0.99952483,0.00014610907,0.00009456065,0.000030811127,0.00010158722,0.00010201137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034586433,0.000113146096,0.00019611158,0.00079342886,0.0005838074,0.00086521107,0.00027874095,0.0004039018,0.0011701955],"category_scores_gemma":[0.0010836631,0.0001676868,0.00028812888,0.0015277532,0.00072498154,0.00068629667,0.0005985359,0.0003399364,0.00006932449],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002033931,0.0000806545,0.98479134,0.00003717351,0.00018685611,0.00026761382,0.000639732,0.005287089,0.0016585822,0.00095011666,0.00064177514,0.0052556847],"study_design_scores_gemma":[0.000003924197,0.000007856336,0.9980167,0.0000025438158,0.000019838986,0.000018395036,0.0005143351,0.00096071075,0.000085264146,0.000092992814,0.00027386405,0.000003584018],"about_ca_topic_score_codex":0.28703806,"about_ca_topic_score_gemma":0.4335074,"teacher_disagreement_score":0.7129619,"about_ca_system_score_codex":0.002765387,"about_ca_system_score_gemma":0.0017736463,"threshold_uncertainty_score":0.5707346},"labels":[],"label_agreement":null},{"id":"W2007936856","doi":"10.1007/s10584-006-9108-4","title":"The coupling of optimal economic growth and climate dynamics","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Merge (version control); Computer science; Climate change; Oracle; Implementation; Climate model; Mathematical optimization; Operations research; Environmental science; Econometrics; Climatology; Mathematics","score_opus":0.061784588328174295,"score_gpt":0.2402687821094023,"score_spread":0.178484193781228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007936856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73535484,0.0034395603,0.17309031,0.021607641,0.00035016262,0.000038410573,0.00051672664,0.00024157407,0.06536067],"genre_scores_gemma":[0.99537116,0.0006311616,0.0017697121,0.00018532401,0.00008820491,0.0000110990995,0.00004442939,0.000027407783,0.0018715207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906546,0.00047140077,0.000041804775,0.00017536148,0.00008544195,0.00016060352],"domain_scores_gemma":[0.9869588,0.010262765,0.0014452606,0.0004064557,0.00037801857,0.00054863334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025893298,0.00039398306,0.0010118011,0.0006798364,0.00053300505,0.0034954073,0.0006980368,0.0016285247,0.005969042],"category_scores_gemma":[0.027226496,0.00082948647,0.00044366505,0.00084435067,0.002123148,0.0050621782,0.0017873948,0.0020101652,0.00026722817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014350642,0.00007380177,0.005842336,0.00011922451,0.000105656785,0.00017241543,0.00028431756,0.28939846,0.00061156426,0.6901819,0.0038450724,0.009221756],"study_design_scores_gemma":[0.000030548166,0.000015115906,0.004000833,0.000016973177,0.000018377987,0.0000450761,0.0001485706,0.17892824,0.00008513339,0.8156308,0.0010599904,0.000020337455],"about_ca_topic_score_codex":0.007805549,"about_ca_topic_score_gemma":0.0046320655,"teacher_disagreement_score":0.007805549,"about_ca_system_score_codex":0.0016816797,"about_ca_system_score_gemma":0.0013700096,"threshold_uncertainty_score":0.01996845},"labels":[],"label_agreement":null},{"id":"W2009021545","doi":"10.1007/s10584-007-9275-y","title":"Scraping the bottom of the barrel: greenhouse gas emission consequences of a transition to low-quality and synthetic petroleum resources","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Suncor Energy Incorporated; Carnegie Mellon University","keywords":"Greenhouse gas; Petroleum; Environmental science; Coal; Upstream (networking); Barrel (horology); Fugitive emissions; Baseline (sea); Natural resource economics; Waste management; Chemistry; Engineering; Economics; Geology","score_opus":0.046213232510799875,"score_gpt":0.3143758280937128,"score_spread":0.2681625955829129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009021545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980248,0.00002709415,0.00007380999,0.00050891296,0.000014498554,0.000003490874,0.000035335208,0.000004297265,0.0013077289],"genre_scores_gemma":[0.99920136,0.000049458995,0.000082479506,0.00013454906,0.00000255117,0.0000014681563,0.000023889203,0.0000024758758,0.0005018464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998385,0.000035185963,0.0000036438353,0.000017497734,0.000029384568,0.00007570307],"domain_scores_gemma":[0.9996604,0.00006111231,0.00007522049,0.000024781344,0.00008051285,0.00009801137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035030366,0.00014074909,0.00013354959,0.00015569526,0.0015876914,0.0012648862,0.00036784651,0.0011898697,0.003678862],"category_scores_gemma":[0.00088501436,0.00011450739,0.00048078943,0.00034670645,0.00077344675,0.00071358145,0.0005719237,0.00083575584,0.00030534953],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01851855,0.00727839,0.52143294,0.00038113515,0.0004311107,0.012448896,0.016286567,0.023419678,0.24280082,0.019054955,0.018421153,0.11952581],"study_design_scores_gemma":[0.00029432506,0.0039963094,0.7909597,0.00007373398,0.00028782824,0.0015484272,0.0790363,0.0128324395,0.06548037,0.020763582,0.024525873,0.00020102986],"about_ca_topic_score_codex":0.027391102,"about_ca_topic_score_gemma":0.054127954,"teacher_disagreement_score":0.027391102,"about_ca_system_score_codex":0.0010428514,"about_ca_system_score_gemma":0.0012854382,"threshold_uncertainty_score":0.054463327},"labels":[],"label_agreement":null},{"id":"W2009218523","doi":"10.1007/s10584-014-1275-0","title":"Livelihood vulnerability assessment to climate variability and change using fuzzy cognitive mapping approach","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Livelihood; Climate change; Vulnerability (computing); Environmental resource management; Context (archaeology); Adaptive capacity; Psychological resilience; Pastoralism; Geography; Environmental planning; Environmental science; Agriculture; Computer science; Ecology; Livestock; Psychology","score_opus":0.13533275726625793,"score_gpt":0.3374560704588285,"score_spread":0.2021233131925706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009218523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66754806,0.00034699953,0.3168347,0.00041349442,0.00002369037,0.00027700418,0.00047425323,0.00015009406,0.0139317345],"genre_scores_gemma":[0.953089,0.00012441959,0.04611589,0.000014834823,0.000004926464,0.00009952371,0.000111853566,0.0000034592258,0.0004362246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957746,0.00014720323,0.000027730826,0.000055150227,0.00012774915,0.00006472716],"domain_scores_gemma":[0.99924374,0.00042472285,0.00011713656,0.000039020146,0.00013386438,0.000041605595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011064676,0.00046355618,0.00034407177,0.003949721,0.0008686495,0.0016477627,0.00061227125,0.00054399,0.001323635],"category_scores_gemma":[0.0025027571,0.00015636312,0.0008971064,0.0018880239,0.00049103826,0.0009389123,0.0009913085,0.00039630404,0.0000684179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003192019,0.00030358843,0.10162541,0.00063797605,0.00051429175,0.0012584947,0.0065115825,0.56852376,0.011872703,0.04171161,0.0019419084,0.2647795],"study_design_scores_gemma":[0.000016432672,0.00013002742,0.03597054,0.000104073035,0.00011558108,0.00032693846,0.004775217,0.914894,0.0025058878,0.038922194,0.0021515267,0.00008765291],"about_ca_topic_score_codex":0.014719593,"about_ca_topic_score_gemma":0.013745829,"teacher_disagreement_score":0.014719593,"about_ca_system_score_codex":0.0013947869,"about_ca_system_score_gemma":0.0011182645,"threshold_uncertainty_score":0.029267848},"labels":[],"label_agreement":null},{"id":"W2010247518","doi":"10.1007/s10584-010-9935-1","title":"The impact of Greenland melt on local sea levels: a partially coupled analysis of dynamic and static equilibrium effects in idealized water-hosing experiments","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":113,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sea level; Climatology; Geology; Greenland ice sheet; Future sea level; Environmental science; Sea ice; Oceanography; Ice sheet; Arctic ice pack; Antarctic sea ice","score_opus":0.0435024466003188,"score_gpt":0.3042329567885708,"score_spread":0.260730510188252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010247518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978114,0.000013130967,0.0014069226,0.00005528307,0.000005238143,0.0000060049992,0.00008078611,0.000026154597,0.0005950554],"genre_scores_gemma":[0.9995414,0.00001061162,0.00021519746,0.000010715961,0.000002037087,0.0000054426864,0.000043356664,0.000013764134,0.00015754787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984527,0.000040265386,0.000008474312,0.000031012478,0.000013490277,0.00006154541],"domain_scores_gemma":[0.9993862,0.00036892132,0.000049166243,0.000064460815,0.000047444057,0.00008380242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006818219,0.00038064347,0.0009937808,0.00032218453,0.00056936056,0.00081469887,0.00056062575,0.0005651671,0.0010877807],"category_scores_gemma":[0.0017965862,0.00039158104,0.0008297256,0.00027997224,0.0013350695,0.000966799,0.0006140402,0.00046643123,0.000058665562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080155494,0.00015419339,0.006131957,0.000026297796,0.00013101831,0.00011839771,0.000097921875,0.97585446,0.011295838,0.0036080675,0.00019176104,0.0015885424],"study_design_scores_gemma":[0.00007307877,0.000079468,0.005638539,0.0000012927266,0.00003485604,0.000004614573,0.000030350988,0.99158317,0.0016531664,0.00083565904,0.000048940048,0.000016903246],"about_ca_topic_score_codex":0.039034627,"about_ca_topic_score_gemma":0.022417173,"teacher_disagreement_score":0.039034627,"about_ca_system_score_codex":0.0013113044,"about_ca_system_score_gemma":0.0010309903,"threshold_uncertainty_score":0.077614844},"labels":[],"label_agreement":null},{"id":"W2010900750","doi":"10.1007/s10584-011-0103-z","title":"A simple model to account for regional inequalities in the effectiveness of solar radiation management","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Carnegie Mellon University; National Science Foundation","keywords":"Simple (philosophy); Climate model; GCM transcription factors; Population; Precipitation; General Circulation Model; Climate change; Baseline (sea); Inequality; Climatology; Environmental science; Scheme (mathematics); Computer science; Econometrics; Mathematical optimization; Applied mathematics; Mathematics; Meteorology; Physics; Geology","score_opus":0.15590476565550276,"score_gpt":0.29209252317820855,"score_spread":0.1361877575227058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010900750","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24323626,0.0018942086,0.5816585,0.025103278,0.0010381005,0.00037345843,0.01238913,0.0009825,0.1333245],"genre_scores_gemma":[0.87659967,0.0008489049,0.024151089,0.001264033,0.00036089608,0.00034719252,0.0015941015,0.00015337803,0.09468075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994772,0.00016917943,0.00001780808,0.00012561286,0.00005243669,0.00015788127],"domain_scores_gemma":[0.99888426,0.0005631848,0.00014498264,0.000090069356,0.00017776593,0.00013967107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011299492,0.00063861295,0.0013280857,0.0007418554,0.00068492716,0.0021950377,0.0026631318,0.0028956393,0.022331016],"category_scores_gemma":[0.0036327075,0.00056015013,0.0015319895,0.0014715666,0.0006748076,0.0021066542,0.0009791986,0.002379244,0.0018618158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011330183,0.0001505214,0.0046249,0.00007501396,0.00013695854,0.00024083369,0.00016772017,0.73372847,0.0005742857,0.2382499,0.010891343,0.0110468045],"study_design_scores_gemma":[0.00020249428,0.000100191,0.0051362924,0.000027434953,0.00012189785,0.00018847866,0.00015863446,0.86349964,0.00015581473,0.1187289,0.011621595,0.000058629124],"about_ca_topic_score_codex":0.049619347,"about_ca_topic_score_gemma":0.04001685,"teacher_disagreement_score":0.049619347,"about_ca_system_score_codex":0.0023677815,"about_ca_system_score_gemma":0.0019622254,"threshold_uncertainty_score":0.098661065},"labels":[],"label_agreement":null},{"id":"W2011233579","doi":"10.1007/s10584-008-9411-3","title":"On geoengineering with sulphate aerosols in the tropical upper troposphere and lower stratosphere","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stratosphere; Aerosol; Troposphere; Atmospheric sciences; Climatology; Environmental science; Atmospheric chemistry; Geoengineering; Quasi-biennial oscillation; Meteorology; Climate change; Geology; Physics; Ozone; Oceanography","score_opus":0.023697418945361873,"score_gpt":0.20513457032886598,"score_spread":0.1814371513835041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011233579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974342,0.0048655733,0.00092455494,0.0029393227,0.00006831829,0.000015135789,0.00019142275,0.000022893124,0.01663074],"genre_scores_gemma":[0.9958978,0.0023075403,0.00015310931,0.00012676937,0.00008811467,0.0000024106916,0.000057825768,0.0000048467136,0.0013615176],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997781,0.000066145716,0.000009494751,0.000025169325,0.000046010464,0.00007510848],"domain_scores_gemma":[0.99960786,0.00015857328,0.000073021634,0.000027932037,0.000078095356,0.00005455565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004309817,0.00027814126,0.00019265778,0.0006007505,0.00050834956,0.0015544232,0.00042050245,0.0007081017,0.0022586284],"category_scores_gemma":[0.00079720194,0.00013354704,0.00053062127,0.00097363506,0.0006074347,0.00097189314,0.00087227486,0.00023516586,0.00021145085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000875242,0.00037923615,0.7612501,0.00036210407,0.00042511013,0.0028474657,0.0017729925,0.029139657,0.07776606,0.025824593,0.0044097486,0.094947696],"study_design_scores_gemma":[0.000013764994,0.000114062874,0.9705138,0.000034732777,0.00009102606,0.00021230862,0.001239487,0.0039023305,0.007673468,0.00932225,0.0068663466,0.000016475373],"about_ca_topic_score_codex":0.025547123,"about_ca_topic_score_gemma":0.028240504,"teacher_disagreement_score":0.025547123,"about_ca_system_score_codex":0.0009969083,"about_ca_system_score_gemma":0.00056072493,"threshold_uncertainty_score":0.050796807},"labels":[],"label_agreement":null},{"id":"W2012289588","doi":"10.1007/s10584-006-9187-2","title":"Sila dialogues on climate change: Inuit wisdom for a cross-cultural interdisciplinarity","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Climate change; Ethnography; Relation (database); Cross-cultural; Adaptation (eye); Power (physics); Environmental ethics; Geography; Sociology; Political science; Ecology; Psychology; Anthropology","score_opus":0.25370852041788533,"score_gpt":0.5027879689863537,"score_spread":0.24907944856846836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012289588","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036592796,0.012507909,0.0037979663,0.78892046,0.0047152946,0.000036199373,0.000043681313,0.000078899175,0.15330671],"genre_scores_gemma":[0.88381267,0.0044507263,0.0015486346,0.09526923,0.001964043,0.00009129711,0.000022108254,0.00010086931,0.012740374],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98791295,0.007325158,0.00035873466,0.0006289052,0.0014937986,0.0022805356],"domain_scores_gemma":[0.98085004,0.012028006,0.0010556077,0.000719808,0.0018136736,0.0035328649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01877008,0.0005128332,0.00085416,0.001586456,0.029551907,0.016537318,0.0023676688,0.0074755233,0.007578747],"category_scores_gemma":[0.020972483,0.00035974418,0.0006593353,0.0018498852,0.04168753,0.01210352,0.015901973,0.016652768,0.0004833837],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033897188,0.00006781858,0.0012056287,0.00031588736,0.0000445641,0.0004722395,0.5336277,0.0000753278,0.0003991675,0.41826957,0.031703793,0.013784446],"study_design_scores_gemma":[0.000020857029,0.000036148205,0.0019905278,0.0009705148,0.00003857789,0.00028335402,0.4983684,0.00028755033,0.0002967151,0.14190507,0.3557621,0.000040165345],"about_ca_topic_score_codex":0.030343711,"about_ca_topic_score_gemma":0.054471537,"teacher_disagreement_score":0.030343711,"about_ca_system_score_codex":0.009999135,"about_ca_system_score_gemma":0.020741036,"threshold_uncertainty_score":0.09926689},"labels":[],"label_agreement":null},{"id":"W2013559318","doi":"10.1007/s10584-015-1352-z","title":"Addressing uncertainty upstream or downstream of accounting for emissions reductions from deforestation and forest degradation","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"International Tropical Timber Organization","keywords":"Upstream (networking); Downstream (manufacturing); Environmental science; Deforestation (computer science); Discounting; Context (archaeology); Upstream and downstream (DNA); Reducing emissions from deforestation and forest degradation; Greenhouse gas; Natural resource economics; Incentive; Climate change; Environmental economics; Business; Economics; Computer science; Finance; Microeconomics","score_opus":0.473890710642525,"score_gpt":0.31597279697231406,"score_spread":0.15791791367021096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013559318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61787236,0.0034411622,0.32029808,0.022927942,0.001027469,0.00009031536,0.00071170396,0.00017942181,0.03345153],"genre_scores_gemma":[0.9919933,0.00056996266,0.005543864,0.00016889343,0.00025083486,0.0000110546425,0.0000913453,0.000016261534,0.0013544328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99856794,0.0006220276,0.00006667678,0.00020702055,0.0003034476,0.00023286558],"domain_scores_gemma":[0.98917234,0.008121103,0.0013781347,0.00031809625,0.00068956864,0.00032074217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038023533,0.0007243652,0.00087701983,0.0009124254,0.00074488315,0.0035627068,0.0008393048,0.0021438552,0.0029985812],"category_scores_gemma":[0.020106759,0.0004422136,0.0007379597,0.001199769,0.0011838868,0.0063770376,0.0012399944,0.003612375,0.00010423797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054450426,0.0002773798,0.026645856,0.00026515516,0.00039102836,0.0006410253,0.000295219,0.5571339,0.0017275389,0.34848526,0.00410643,0.059486635],"study_design_scores_gemma":[0.000022974993,0.00008740568,0.007357455,0.000092491886,0.00017894794,0.00004599718,0.0004300384,0.5175575,0.0019815497,0.4694188,0.0027801706,0.000046647936],"about_ca_topic_score_codex":0.0085088285,"about_ca_topic_score_gemma":0.005938887,"teacher_disagreement_score":0.0085088285,"about_ca_system_score_codex":0.0018572552,"about_ca_system_score_gemma":0.0033807436,"threshold_uncertainty_score":0.020109057},"labels":[],"label_agreement":null},{"id":"W2015806530","doi":"10.1007/s10584-006-9178-3","title":"Mechanisms controlling soil carbon turnover and their potential application for enhancing carbon sequestration","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":719,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Biological and Environmental Research; Directorate for Biological Sciences; Argonne National Laboratory; McGill University","keywords":"Soil carbon; Soil water; Environmental chemistry; Environmental science; Carbon sequestration; Chemistry; Sorption; Biochar; Soil organic matter; Amendment; Soil science; Adsorption; Carbon dioxide","score_opus":0.01690484341144066,"score_gpt":0.2089327564611842,"score_spread":0.19202791304974354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015806530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87740546,0.02166248,0.081543654,0.004103368,0.000585421,0.0003429495,0.0021868232,0.0011660977,0.011003726],"genre_scores_gemma":[0.9893958,0.0023452148,0.0067542703,0.0001379508,0.00009719185,0.00008504886,0.00014867495,0.000025926369,0.0010099962],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998097,0.000040354254,0.000017827415,0.00007026332,0.000025416834,0.00003642801],"domain_scores_gemma":[0.99888223,0.00041374288,0.00040057988,0.00008523626,0.00012294207,0.00009529162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011429694,0.0005514512,0.0005942865,0.0009631784,0.0004993077,0.0013608782,0.00087759574,0.001242289,0.002746077],"category_scores_gemma":[0.0015348421,0.00048024894,0.00045529677,0.0005336918,0.0010411742,0.0023474859,0.00045552908,0.00048782388,0.00021267515],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014413202,0.00032118268,0.045054343,0.0014235362,0.00031497798,0.0005076818,0.00044112955,0.0347989,0.7648042,0.079974785,0.0017199453,0.06919795],"study_design_scores_gemma":[0.00061885564,0.0012496322,0.28637314,0.00020075595,0.0005252776,0.001631634,0.0014533396,0.29958847,0.25233543,0.13541529,0.020098967,0.00050916016],"about_ca_topic_score_codex":0.0017299372,"about_ca_topic_score_gemma":0.0023596585,"teacher_disagreement_score":0.002746077,"about_ca_system_score_codex":0.00119606,"about_ca_system_score_gemma":0.0007598925,"threshold_uncertainty_score":0.009186566},"labels":[],"label_agreement":null},{"id":"W2015958654","doi":"10.1007/s10584-006-9162-y","title":"The influence of human activity in the Arctic on climate and climate impacts","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Division of Arctic Sciences; National Science Foundation","keywords":"Arctic; Climate change; The arctic; Environmental science; Human systems engineering; Climatology; Natural resource economics; Environmental resource management; Ecology; Oceanography; Economics; Computer science; Geology; Biology","score_opus":0.1064893475814136,"score_gpt":0.4351022787087789,"score_spread":0.3286129311273653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015958654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976553,0.0025847834,0.00014400852,0.0014984938,0.0000818027,0.0000038573166,0.0002715367,0.0000047590634,0.018857716],"genre_scores_gemma":[0.9975349,0.0017635127,0.000058707,0.000072365896,0.00007007778,0.0000014174054,0.0000359095,0.000002140245,0.00046108162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999258,0.0003548198,0.000021489785,0.000037416285,0.000082036786,0.00024626218],"domain_scores_gemma":[0.9987649,0.00045363425,0.00019787368,0.000044220316,0.00027283689,0.00026656184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009046376,0.00013602493,0.00017034101,0.00083520723,0.001679658,0.0020956215,0.00025390257,0.00031022547,0.002250227],"category_scores_gemma":[0.0021364144,0.000085634856,0.00025465485,0.0013869143,0.0012670519,0.0005215398,0.0010235513,0.00041272494,0.00012630092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052237115,0.00017183306,0.9206575,0.00032452,0.00032450157,0.0007304482,0.014215246,0.0034365186,0.0022308452,0.005848701,0.0017851731,0.049752187],"study_design_scores_gemma":[0.000003400115,0.000040758776,0.9794024,0.00006795284,0.000045838824,0.00008266513,0.013596824,0.00036862068,0.00018963206,0.0006576406,0.0055329716,0.000011352291],"about_ca_topic_score_codex":0.34151405,"about_ca_topic_score_gemma":0.51994145,"teacher_disagreement_score":0.34151405,"about_ca_system_score_codex":0.0016754997,"about_ca_system_score_gemma":0.003100547,"threshold_uncertainty_score":0.6790525},"labels":[],"label_agreement":null},{"id":"W2018205259","doi":"10.1007/s10584-006-9118-2","title":"The Arctic as a trigger for glacial terminations","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Glacial period; Oceanography; North Atlantic Deep Water; Arctic ice pack; Sea ice; Arctic dipole anomaly; Arctic; Arctic sea ice decline; Arctic geoengineering; Canada Basin; Northern Hemisphere; Ice sheet; Climatology; Thermohaline circulation; Drift ice; Paleontology","score_opus":0.04825398478917897,"score_gpt":0.29345148082836986,"score_spread":0.2451974960391909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018205259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9303594,0.0009051112,0.0011198765,0.0031279717,0.0003128689,0.00001566362,0.0007365263,0.000100366786,0.063322194],"genre_scores_gemma":[0.99779093,0.0002184736,0.0002522891,0.00015714212,0.000083297564,0.0000028232569,0.00017077946,0.000023282078,0.0013010828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996253,0.000079728685,0.00003526217,0.000067279485,0.00007208783,0.00012028299],"domain_scores_gemma":[0.9975579,0.00052358507,0.0006508765,0.00015338369,0.0005065939,0.000607745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012791131,0.00015081484,0.00025502028,0.001272767,0.0013594719,0.0038963899,0.00029591113,0.0008585868,0.0064902185],"category_scores_gemma":[0.004458468,0.0001608874,0.00018610932,0.00084135495,0.0006373737,0.0008636124,0.0011911693,0.0007170311,0.0006420228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011142861,0.00013126005,0.8417253,0.00018877849,0.00017382648,0.0019606638,0.0053320616,0.0055336193,0.010923875,0.054542657,0.011999663,0.06637407],"study_design_scores_gemma":[0.000042214317,0.00015387345,0.8921572,0.00019619286,0.000110249515,0.00058789307,0.0089146225,0.005502661,0.0017768136,0.01781368,0.07269196,0.00005265574],"about_ca_topic_score_codex":0.016588867,"about_ca_topic_score_gemma":0.032087345,"teacher_disagreement_score":0.016588867,"about_ca_system_score_codex":0.0012738936,"about_ca_system_score_gemma":0.0014637497,"threshold_uncertainty_score":0.032984614},"labels":[],"label_agreement":null},{"id":"W2019491152","doi":"10.1007/s10584-013-0773-9","title":"Linking Cree hunters’ and scientific observations of changing inland ice and meteorological conditions in the subarctic eastern James Bay region, Canada","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Quebec Rehabilitation Research Network; Université de Montréal","funders":"U.S. Army Corps of Engineers; Cree Board of Health and Social Services of James Bay","keywords":"Subarctic climate; Subsistence agriculture; Precipitation; Climate change; Snow; Bay; Physical geography; Geography; Climatology; Cryosphere; Environmental science; Oceanography; Sea ice; Geology; Agriculture; Meteorology; Archaeology","score_opus":0.14582118602820804,"score_gpt":0.3377102622503037,"score_spread":0.19188907622209567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019491152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772376,0.00017708389,0.000048821432,0.0001541967,0.0000073072288,0.000010357082,0.00056051963,0.000002660124,0.0013153885],"genre_scores_gemma":[0.99851054,0.0002447549,0.00010226924,0.000051560724,0.000005616104,0.0000075806597,0.0003860639,0.0000027405938,0.0006888788],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.999483,0.00007848547,0.000029083112,0.000073590134,0.00012283301,0.00021294376],"domain_scores_gemma":[0.99702305,0.0005197232,0.0005057465,0.000106041174,0.0013575832,0.00048788099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007705887,0.0001671297,0.000219345,0.0016204903,0.0020227414,0.001437123,0.00082521467,0.00033302818,0.0010650296],"category_scores_gemma":[0.0038494328,0.00020125,0.00017981956,0.0034915644,0.0010388116,0.00045023576,0.0010588221,0.0005470002,0.00011048057],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046165173,0.000036768648,0.98849213,0.000022060844,0.00006542773,0.00008277958,0.0058159204,0.00019367211,0.000307579,0.00005707307,0.0005808055,0.0042996686],"study_design_scores_gemma":[0.0000012597063,0.0000030601657,0.9927812,0.000009569427,0.000008152989,0.000011219056,0.0066004875,0.000079888596,0.000033025088,0.000009348208,0.0004585882,0.0000040739783],"about_ca_topic_score_codex":0.9932713,"about_ca_topic_score_gemma":0.9976634,"teacher_disagreement_score":0.010326491,"about_ca_system_score_codex":0.010326491,"about_ca_system_score_gemma":0.015476488,"threshold_uncertainty_score":0.07492429},"labels":[],"label_agreement":null},{"id":"W2019840454","doi":"10.1007/s10584-013-0705-8","title":"Changes in temperature and precipitation extremes in the CMIP5 ensemble","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":1104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Environment and Climate Change Canada","funders":"U.S. Department of Energy","keywords":"Climatology; Precipitation; Environmental science; Coupled model intercomparison project; Subtropics; Forcing (mathematics); Extratropical cyclone; Atmospheric sciences; Climate model; Ensemble average; Climate change; Meteorology; Geology; Geography; Oceanography","score_opus":0.04654118995488552,"score_gpt":0.2523192089451087,"score_spread":0.20577801899022316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019840454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732704,0.0004261784,0.002760883,0.0010967575,0.00024671888,0.000011134939,0.018111503,0.00029591698,0.0037804442],"genre_scores_gemma":[0.99257517,0.00013021879,0.0009878179,0.00007293149,0.00004718709,0.000011302901,0.005694777,0.000039483522,0.0004411503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977344,0.000063972184,0.000015422886,0.00007028054,0.000035231085,0.000041640676],"domain_scores_gemma":[0.99949336,0.0001658868,0.000073873074,0.00007417452,0.00012387444,0.00006877144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096768496,0.00035112145,0.00022946316,0.00043600364,0.00027537413,0.0005386711,0.0005122467,0.0009402838,0.0018770939],"category_scores_gemma":[0.002426458,0.00021895739,0.00052044855,0.0011857637,0.0001958313,0.00095127005,0.000373005,0.00086818787,0.0002961996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011394513,0.00016565729,0.26127586,0.000177386,0.0006770226,0.00021153405,0.00016887512,0.6691042,0.0045085903,0.008057892,0.028629636,0.025883857],"study_design_scores_gemma":[0.00011897679,0.00007620428,0.29380658,0.000038995833,0.00017114286,0.00011625084,0.00010698424,0.6913921,0.0026643695,0.0034683878,0.007966818,0.00007318436],"about_ca_topic_score_codex":0.025680806,"about_ca_topic_score_gemma":0.02605259,"teacher_disagreement_score":0.025680806,"about_ca_system_score_codex":0.0007923462,"about_ca_system_score_gemma":0.00041225526,"threshold_uncertainty_score":0.051062644},"labels":[],"label_agreement":null},{"id":"W2029617266","doi":"10.1007/s10584-011-0259-6","title":"Climate warming and natural disaster management: An exploration of the issues","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Climate change; Natural disaster; Perspective (graphical); Environmental resource management; Global warming; Risk management; Adaptation (eye); Climate change adaptation; Natural (archaeology); Risk analysis (engineering); Precautionary principle; Environmental planning; Disaster risk reduction; Natural resource economics; Business; Geography; Environmental science; Economics; Computer science; Psychology; Ecology","score_opus":0.34096641410535705,"score_gpt":0.36394637281267633,"score_spread":0.02297995870731928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029617266","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12502015,0.25090772,0.019308114,0.35025832,0.0019520378,0.000108289976,0.00036828232,0.000058551694,0.2520186],"genre_scores_gemma":[0.8446411,0.13840768,0.0029574384,0.0051984466,0.002694439,0.00004879575,0.000062481704,0.000015613085,0.005973993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99906486,0.00065182836,0.000018459981,0.00005262467,0.00010728073,0.000104952196],"domain_scores_gemma":[0.9959247,0.0030977516,0.00030652212,0.00009090777,0.00035992148,0.00022008904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024221037,0.0005425574,0.0006300939,0.0017768416,0.0018275828,0.0068512456,0.00096843817,0.002760476,0.010718661],"category_scores_gemma":[0.0037849,0.0002326622,0.00057011296,0.0038617179,0.0063814837,0.00747868,0.002342605,0.0022352203,0.00030611668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021514347,0.00033944653,0.02073474,0.0013207018,0.0001808936,0.0006641665,0.004008779,0.010066825,0.000491237,0.83774936,0.013777965,0.11045079],"study_design_scores_gemma":[0.000027339773,0.00016123599,0.03144681,0.0012138524,0.000097889,0.00039996172,0.029078113,0.010335797,0.00016478686,0.8508023,0.07620616,0.00006579068],"about_ca_topic_score_codex":0.00949857,"about_ca_topic_score_gemma":0.018949315,"teacher_disagreement_score":0.010718661,"about_ca_system_score_codex":0.0019090889,"about_ca_system_score_gemma":0.005047243,"threshold_uncertainty_score":0.03585756},"labels":[],"label_agreement":null},{"id":"W2029932779","doi":"10.1007/s10584-012-0602-6","title":"Spatial and temporal variability of soil biological activity in the Province of Québec, Canada (45–58 °N, 1960–2009)—calculations based on climate records","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"","keywords":"Environmental science; Soil carbon; Precipitation; Climate change; Spatial variability; Atmospheric sciences; Physical geography; Climatology; Soil water; Hydrology (agriculture); Soil science; Ecology; Geography; Meteorology; Mathematics; Geology; Biology; Statistics","score_opus":0.04218589303480901,"score_gpt":0.24034827737535305,"score_spread":0.19816238434054403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029932779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95117915,0.0017131978,0.0010853003,0.00028410557,0.00003436384,0.000055428784,0.040377714,0.00019496444,0.005075812],"genre_scores_gemma":[0.98588485,0.0004860176,0.0011179482,0.00003565336,0.000009207135,0.000024388608,0.010396432,0.00001543394,0.0020300914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979836,0.000015907755,0.000020178062,0.000050866725,0.000060443363,0.000054291457],"domain_scores_gemma":[0.9992592,0.0000524354,0.00010415909,0.000029551367,0.00047859724,0.00007603534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003632133,0.00028465985,0.0002402607,0.0019001936,0.0006676281,0.0007433833,0.00078063074,0.00025553408,0.0017335297],"category_scores_gemma":[0.0008907422,0.00018313629,0.0006419873,0.003298195,0.0003066641,0.00027540408,0.00030125244,0.00029887544,0.00021682895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016615205,0.00003741344,0.9483904,0.00015584414,0.0005644977,0.00015636551,0.00033175774,0.015587849,0.0010318322,0.00055645715,0.00827706,0.024744457],"study_design_scores_gemma":[0.000012014853,0.000006352939,0.986613,0.000025212872,0.0000463745,0.000034033597,0.00015805304,0.008403697,0.00013218728,0.000029599145,0.004524888,0.000014496578],"about_ca_topic_score_codex":0.9962787,"about_ca_topic_score_gemma":0.9965683,"teacher_disagreement_score":0.017649407,"about_ca_system_score_codex":0.017649407,"about_ca_system_score_gemma":0.008999779,"threshold_uncertainty_score":0.12805599},"labels":[],"label_agreement":null},{"id":"W2031645228","doi":"10.1007/s10584-013-0875-4","title":"Climate change and mental health: an exploratory case study from Rigolet, Nunatsiavut, Canada","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":248,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of Guelph; Cape Breton University","funders":"American Psychological Association","keywords":"Mental health; Climate change; Context (archaeology); Extreme weather; Geography; Exploratory research; Wildlife; Stressor; Environmental health; Psychology; Environmental resource management; Medicine; Ecology; Environmental science; Psychiatry; Sociology","score_opus":0.1643960714831805,"score_gpt":0.38603413101930456,"score_spread":0.22163805953612406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031645228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99067545,0.0006146168,0.00017526266,0.0017233581,0.00003343862,0.00013626191,0.00020380077,0.0000050683425,0.00643269],"genre_scores_gemma":[0.992152,0.001087527,0.0003898132,0.00073133426,0.00001711146,0.00004791788,0.0000954143,0.000010900287,0.0054679625],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99853384,0.00025235052,0.000028428043,0.00008470365,0.00023129884,0.0008693014],"domain_scores_gemma":[0.9988624,0.00019855598,0.00009398201,0.000029680288,0.0002726955,0.00054278795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007769235,0.0005910881,0.00064406334,0.0013410533,0.029818946,0.0027929195,0.002164631,0.0019669451,0.0030161191],"category_scores_gemma":[0.0015155273,0.0005030207,0.00048447508,0.00317108,0.0036608307,0.00079911895,0.003909539,0.00261705,0.00021893693],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017251424,0.00091529137,0.1753041,0.00031181698,0.000077577606,0.050546166,0.73951274,0.000512786,0.0015770626,0.0043632705,0.0064196805,0.020287054],"study_design_scores_gemma":[0.000018830955,0.000111549234,0.07686454,0.00020640704,0.000033913177,0.003404648,0.90764093,0.00028770062,0.00022172413,0.00029167914,0.010875218,0.000042887656],"about_ca_topic_score_codex":0.98252493,"about_ca_topic_score_gemma":0.9959513,"teacher_disagreement_score":0.043202605,"about_ca_system_score_codex":0.043202605,"about_ca_system_score_gemma":0.055239886,"threshold_uncertainty_score":0.31345832},"labels":[],"label_agreement":null},{"id":"W2031781898","doi":"10.1007/s10584-011-0063-3","title":"Assessing market and non-market costs of freshwater flooding due to climate change in the community of Fredericton, Eastern Canada","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Impact; Environment and Climate Change Canada; University of New Brunswick","funders":"Government of Canada","keywords":"Flooding (psychology); Climate change; Flood myth; Population; Valuation (finance); Environmental science; Environmental resource management; Geography; Ecology; Business; Biology","score_opus":0.06013116690813094,"score_gpt":0.2724822916542269,"score_spread":0.21235112474609594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031781898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99823344,0.000059308175,0.00008290748,0.00015900431,0.0000019200697,0.0000131370725,0.00048354044,0.000002556754,0.00096420664],"genre_scores_gemma":[0.99856645,0.000083756524,0.00013583698,0.00002064269,0.0000020473835,0.0000058793303,0.00037805727,0.000002060975,0.0008053273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916804,0.0001440625,0.000049738166,0.0000850899,0.00022773628,0.00032532366],"domain_scores_gemma":[0.99644,0.0010073922,0.0004934158,0.00009314717,0.0011667134,0.00079934654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010217169,0.0003227225,0.00039845897,0.0012621238,0.0020730381,0.0017949229,0.0017447443,0.00071816426,0.0016934098],"category_scores_gemma":[0.0056052986,0.00033782946,0.0005352326,0.0024010637,0.0009826027,0.0007472492,0.0010706991,0.0008573871,0.00008923991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002434744,0.00011164305,0.96804416,0.000038935435,0.00017787945,0.00031630613,0.0011499749,0.018506622,0.00029021536,0.0017782383,0.0012193078,0.0081232125],"study_design_scores_gemma":[0.00002026924,0.000041904223,0.9694699,0.000020754225,0.000049451108,0.00007375414,0.005640978,0.023112604,0.00012256297,0.00041166053,0.0010052277,0.000030901127],"about_ca_topic_score_codex":0.99675,"about_ca_topic_score_gemma":0.99873906,"teacher_disagreement_score":0.051196557,"about_ca_system_score_codex":0.051196557,"about_ca_system_score_gemma":0.027329564,"threshold_uncertainty_score":0.37145877},"labels":[],"label_agreement":null},{"id":"W2034041234","doi":"10.1023/b:clim.0000025747.12101.37","title":"International Emission Trading and the Cost of Greenhouse Gas Emissions Mitigation and Sequestration","year":2004,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Inro Consultants (Canada)","funders":"","keywords":"Greenhouse gas; Carbon sequestration; Environmental science; Natural resource economics; Marginal cost; Marginal value; Software deployment; Environmental economics; Carbon dioxide; Economics; Engineering; Chemistry; Microeconomics","score_opus":0.13282794970067005,"score_gpt":0.28372166349268957,"score_spread":0.15089371379201952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034041234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76234335,0.025469987,0.031520553,0.03738575,0.00092571403,0.000031837677,0.002122753,0.00022781556,0.13997225],"genre_scores_gemma":[0.99311936,0.0026637602,0.0005270371,0.00022382184,0.00018847761,0.000006095032,0.00017931926,0.000020471629,0.003071698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999401,0.00022470247,0.000032762102,0.000069900954,0.00014467427,0.00012697179],"domain_scores_gemma":[0.99526864,0.0031800652,0.0007826131,0.00022091062,0.00033135488,0.00021634136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014741289,0.0003961652,0.0005721388,0.00090733566,0.00051656883,0.0037876468,0.0005941041,0.002464602,0.0068175686],"category_scores_gemma":[0.01023916,0.00034941646,0.000571978,0.0019955179,0.0014391312,0.004356907,0.00087606435,0.0029064808,0.00025776372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008979885,0.00017752429,0.027207458,0.00020583792,0.00026039837,0.00053995074,0.00016246978,0.27367106,0.0011803724,0.6518497,0.007901573,0.035945605],"study_design_scores_gemma":[0.00010694219,0.00009020667,0.028212009,0.00012547986,0.00025172063,0.00057869055,0.0005305311,0.17678575,0.0016119155,0.7726228,0.018996654,0.000087240645],"about_ca_topic_score_codex":0.008971157,"about_ca_topic_score_gemma":0.00968019,"teacher_disagreement_score":0.008971157,"about_ca_system_score_codex":0.0037313818,"about_ca_system_score_gemma":0.0014604123,"threshold_uncertainty_score":0.027073205},"labels":[],"label_agreement":null},{"id":"W2034435064","doi":"10.1007/s10584-015-1394-2","title":"Climate change vulnerability assessment of the urban forest in three Canadian cities","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Climate change; Urban forest; Vulnerability (computing); Urban climate; Urban forestry; Geography; Environmental resource management; Adaptive capacity; Vulnerability assessment; Environmental planning; Urban resilience; Urban ecosystem; Urban planning; Psychological resilience; Environmental protection; Environmental science; Ecology; Forestry","score_opus":0.12775652233971738,"score_gpt":0.3148978344097501,"score_spread":0.18714131207003273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034435064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947699,0.00014220638,0.00018766838,0.00020783539,0.0000035338414,0.000047537505,0.0014657363,0.000009729716,0.00316571],"genre_scores_gemma":[0.9984402,0.00009885409,0.00020931204,0.00002452513,0.0000013309848,0.000013835031,0.0005338001,0.000003221249,0.0006749861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993286,0.000056744,0.000017324302,0.000051539224,0.00015710131,0.00038870564],"domain_scores_gemma":[0.99926883,0.000056806224,0.000075604046,0.000028329408,0.00041114676,0.00015935194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058532314,0.00046306022,0.00044352908,0.0023480083,0.004377891,0.0018057653,0.0014509355,0.0005405647,0.0014937588],"category_scores_gemma":[0.0009679731,0.00029032468,0.00094881386,0.0056218035,0.00088356604,0.0003801218,0.0014248556,0.00061445904,0.00008701979],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003711797,0.00017899761,0.93221766,0.00012291383,0.00041142348,0.00049573096,0.0037402064,0.033024296,0.0012175401,0.0034490472,0.0035648954,0.021206228],"study_design_scores_gemma":[0.000013610542,0.000028669121,0.97125804,0.000035957557,0.00011554108,0.000055971585,0.00846744,0.01627257,0.00025404655,0.0004389022,0.0030209774,0.000038211336],"about_ca_topic_score_codex":0.99598134,"about_ca_topic_score_gemma":0.99870336,"teacher_disagreement_score":0.0530876,"about_ca_system_score_codex":0.0530876,"about_ca_system_score_gemma":0.028041251,"threshold_uncertainty_score":0.38517928},"labels":[],"label_agreement":null},{"id":"W2036324908","doi":"10.1007/s10584-011-0162-1","title":"No evidence for widespread bird declines in protected South American forests","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geography; Ecology; Agroforestry; Forestry; Environmental science; Biology","score_opus":0.25871836144543137,"score_gpt":0.3341129150722086,"score_spread":0.07539455362677722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036324908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926617,0.00056168024,0.000099112905,0.00043022435,0.000017495551,0.0000045087895,0.00034809278,0.000009087322,0.0058680386],"genre_scores_gemma":[0.99905115,0.00015919695,0.00005757522,0.00015104178,0.000021996588,0.000003127474,0.00028329488,0.000002314939,0.00027025412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994593,0.0001115024,0.000039919938,0.0001667958,0.00013721806,0.00008520575],"domain_scores_gemma":[0.9879589,0.0033782579,0.004221486,0.0011228287,0.0022075814,0.0011109598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016832727,0.00015618892,0.00030649107,0.0009913311,0.0010906123,0.0010057766,0.00048978615,0.00052036025,0.008738083],"category_scores_gemma":[0.0064174067,0.00019596839,0.00029078007,0.0012489394,0.0016021942,0.0009420122,0.00093849015,0.00082047994,0.00030121594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026519177,0.00003066868,0.99169075,0.00013735172,0.00011777302,0.000051209397,0.0006754328,0.00005514817,0.0011573667,0.00021951106,0.00051715196,0.005082315],"study_design_scores_gemma":[0.0000035478686,0.000018133696,0.9987147,0.000013127096,0.000022024207,0.000036646696,0.00043108928,0.000029117404,0.00004766161,0.00005394385,0.0006286517,0.0000014029209],"about_ca_topic_score_codex":0.018874282,"about_ca_topic_score_gemma":0.08411721,"teacher_disagreement_score":0.018874282,"about_ca_system_score_codex":0.00049767457,"about_ca_system_score_gemma":0.00059857435,"threshold_uncertainty_score":0.037528872},"labels":[],"label_agreement":null},{"id":"W2038389939","doi":"10.1007/s10584-012-0577-3","title":"The long-term policy context for solar radiation management","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; University of Calgary; Fund for Innovative Climate and Energy Research","keywords":"Context (archaeology); Software deployment; Term (time); Metric (unit); Limiting; Environmental science; Climate change; Reduction (mathematics); Computer science; Environmental economics; Environmental resource management; Economics; Operations management; Mathematics; Engineering; Physics; Geography","score_opus":0.05348574480676219,"score_gpt":0.2888384875832592,"score_spread":0.235352742776497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038389939","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07785507,0.015349157,0.007950915,0.6937115,0.0028686144,0.000045830802,0.00061892567,0.00006911782,0.20153077],"genre_scores_gemma":[0.92550594,0.005804858,0.002191392,0.04822486,0.002818171,0.00009338959,0.00018285404,0.000079068916,0.015099537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9938207,0.002321566,0.00027487933,0.0006715737,0.0012659224,0.0016454356],"domain_scores_gemma":[0.9859483,0.0064547313,0.0019313823,0.00042997103,0.0027290029,0.0025065676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0088583045,0.00040195876,0.0010011146,0.00085444615,0.0049362,0.017002651,0.0019698902,0.017322395,0.012735861],"category_scores_gemma":[0.016671965,0.00043090488,0.00073324365,0.0013780338,0.007605023,0.009705039,0.003246931,0.015609719,0.00070381816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009592352,0.00013662793,0.0020224724,0.00010912643,0.00004767967,0.00026063307,0.00094554515,0.004267712,0.0008974184,0.96675146,0.016655201,0.0078100534],"study_design_scores_gemma":[0.000045099194,0.000105713036,0.012181807,0.00064930704,0.000058194346,0.00016273062,0.005856266,0.004615357,0.00077436556,0.8099985,0.16539611,0.00015659234],"about_ca_topic_score_codex":0.026019368,"about_ca_topic_score_gemma":0.05717396,"teacher_disagreement_score":0.026019368,"about_ca_system_score_codex":0.017160697,"about_ca_system_score_gemma":0.015457615,"threshold_uncertainty_score":0.12451017},"labels":[],"label_agreement":null},{"id":"W2039070965","doi":"10.1007/s10584-013-0840-2","title":"Coasts, water levels, and climate change: A Great Lakes perspective","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":189,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration","keywords":"Climate change; Environmental science; Resource (disambiguation); Population; Global warming; Water resources; Oceanography; Environmental resource management; Geography; Ecology; Geology","score_opus":0.047299303825975296,"score_gpt":0.25328121131377485,"score_spread":0.20598190748779954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039070965","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19183968,0.39657763,0.008388677,0.2887682,0.000923633,0.000038927697,0.0014537552,0.0001469158,0.11186257],"genre_scores_gemma":[0.62381077,0.34221905,0.0036041057,0.013872775,0.004001017,0.000057104982,0.00025961787,0.000047181868,0.0121283885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998067,0.00010108647,0.00000644217,0.000022941509,0.000031153737,0.00003180375],"domain_scores_gemma":[0.99929917,0.0003862423,0.00008962956,0.000030624204,0.00007078107,0.00012362971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006667897,0.000586464,0.0004966747,0.0014226849,0.0009226679,0.002571016,0.000779759,0.0014826137,0.0039282194],"category_scores_gemma":[0.000999444,0.00034725625,0.0004540135,0.0026902822,0.0036529065,0.0031612092,0.0016948566,0.0015102992,0.00016179292],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002787253,0.00029642408,0.10355294,0.0012197993,0.0011247406,0.0020326586,0.0063127233,0.018566232,0.0024889293,0.62617826,0.07676344,0.16118513],"study_design_scores_gemma":[0.00007780623,0.00036379148,0.28131014,0.0016221307,0.0008554471,0.0006902391,0.017710876,0.0109484885,0.0007266749,0.3583604,0.32719624,0.00013781353],"about_ca_topic_score_codex":0.088555396,"about_ca_topic_score_gemma":0.22718363,"teacher_disagreement_score":0.9114446,"about_ca_system_score_codex":0.0018929268,"about_ca_system_score_gemma":0.0018289725,"threshold_uncertainty_score":0.17607987},"labels":[],"label_agreement":null},{"id":"W2039429031","doi":"10.1007/s10584-006-6336-6","title":"Learning with Local Help: Expanding the Dialogue on Climate Change and Water Management in the Okanagan Region, British Columbia, Canada","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; Impact; University of British Columbia; Environment and Climate Change Canada","funders":"","keywords":"Climate change; Stakeholder; Environmental resource management; Adaptation (eye); Citizen journalism; Resource (disambiguation); Environmental planning; Portfolio; Water resources; Stakeholder engagement; Variety (cybernetics); Business; Political science; Geography; Environmental science; Computer science; Public relations","score_opus":0.01823290908700779,"score_gpt":0.19327139980857388,"score_spread":0.1750384907215661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039429031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6014466,0.004773723,0.0005245032,0.2866845,0.00071860704,0.00015965794,0.000240797,0.000048612234,0.10540291],"genre_scores_gemma":[0.93226135,0.0035053021,0.0006255981,0.024343558,0.000103083505,0.00011326584,0.0000815887,0.000035564655,0.038930677],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9975673,0.0010209661,0.00003512017,0.00012343934,0.00022086766,0.0010324377],"domain_scores_gemma":[0.9902918,0.0029028628,0.00018625501,0.00008995965,0.0014611079,0.005067962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031644818,0.0002232124,0.00033083992,0.0006167564,0.03023502,0.005691822,0.0017671578,0.0031032176,0.009075585],"category_scores_gemma":[0.0055218656,0.00027328802,0.00014015712,0.0011775515,0.005223363,0.0021464885,0.005035382,0.004028382,0.0003130405],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019272904,0.00043570952,0.047860432,0.00048064845,0.000039262937,0.003789639,0.611732,0.001076835,0.0018802164,0.00911807,0.20994723,0.11344716],"study_design_scores_gemma":[0.000022882206,0.00003640213,0.03762802,0.0003149043,0.000024378456,0.0001296996,0.697724,0.00025581525,0.00024385142,0.001178183,0.26239598,0.000045818324],"about_ca_topic_score_codex":0.9728405,"about_ca_topic_score_gemma":0.99478334,"teacher_disagreement_score":0.050525445,"about_ca_system_score_codex":0.050525445,"about_ca_system_score_gemma":0.11783217,"threshold_uncertainty_score":0.36658943},"labels":[],"label_agreement":null},{"id":"W2039480686","doi":"10.1007/s10584-006-0466-8","title":"Stocks, Chemistry, and Sensitivity to Climate Change of Dead Organic Matter Along the Canadian Boreal Forest Transect Case Study","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge; Natural Resources Canada","funders":"","keywords":"Black spruce; Taiga; Environmental science; Forest floor; Transect; Boreal; Litter; Vegetation (pathology); Biomass (ecology); Ecology; Forestry; Soil science; Soil water; Geography; Biology","score_opus":0.03545763870979505,"score_gpt":0.23286041908234267,"score_spread":0.19740278037254763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039480686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932027,0.00003155122,0.000019878069,0.000025722784,6.731336e-7,0.000003736051,0.00025140351,0.00000172522,0.0003450277],"genre_scores_gemma":[0.99932337,0.000037032765,0.000058383914,0.000010064557,6.249544e-7,0.0000021030287,0.00023243447,0.0000010753663,0.00033498154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997427,0.000022564818,0.000010240887,0.00004489849,0.00006612048,0.000113501075],"domain_scores_gemma":[0.9992361,0.000051321695,0.00013141046,0.000036143745,0.00036970762,0.00017527238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030357047,0.00027166257,0.00023436944,0.0007374409,0.0020337182,0.00062136765,0.00070755737,0.00036237822,0.00063673715],"category_scores_gemma":[0.00068882795,0.00020660895,0.00025956356,0.0015016005,0.0007698708,0.00029417695,0.0003508956,0.00042444153,0.00006971829],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015371767,0.00008241114,0.99092215,0.000011729702,0.00007479179,0.0004215374,0.0014362804,0.0009351815,0.0018851691,0.00012474427,0.0004413985,0.0035108177],"study_design_scores_gemma":[0.000002568131,0.000014420928,0.9979989,0.0000023405457,0.000016086955,0.00010241912,0.0010024725,0.0003291755,0.00014116663,0.000009474248,0.00037404703,0.000006931363],"about_ca_topic_score_codex":0.9895314,"about_ca_topic_score_gemma":0.9974318,"teacher_disagreement_score":0.010468602,"about_ca_system_score_codex":0.009148838,"about_ca_system_score_gemma":0.00552597,"threshold_uncertainty_score":0.066379786},"labels":[],"label_agreement":null},{"id":"W2040160370","doi":"10.1007/s10584-014-1248-3","title":"The role of temperature in drought projections over North America","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; Université du Québec à Montréal","funders":"","keywords":"Evapotranspiration; Precipitation; Climatology; Environmental science; Latitude; Climate change; Climate model; Mean radiant temperature; Global warming; Geography; Meteorology; Geology; Oceanography; Ecology","score_opus":0.008791270630891553,"score_gpt":0.22594672644105254,"score_spread":0.217155455810161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040160370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905177,0.00080643554,0.0035991003,0.0014362242,0.000054924672,0.000007830069,0.00088541536,0.000045977053,0.0026464406],"genre_scores_gemma":[0.9984705,0.00034127934,0.0007029375,0.000026391812,0.000025116397,0.0000033902966,0.0001962945,0.000010477253,0.00022362379],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968946,0.00020156277,0.000017208324,0.000038793874,0.000029626832,0.00002337909],"domain_scores_gemma":[0.99868697,0.0007854763,0.00014116605,0.00004565968,0.00024225045,0.00009837494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001662488,0.00025875185,0.00017288515,0.00038920404,0.00039013705,0.0011832071,0.00027040645,0.00045503472,0.00065951433],"category_scores_gemma":[0.004412593,0.0002892036,0.00023758704,0.0005882737,0.00032158673,0.0013177445,0.00034085443,0.0005291377,0.000089609755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005194345,0.00009288556,0.61141086,0.000129017,0.00029926063,0.00017646259,0.0004229738,0.34590656,0.0027880592,0.005627578,0.0022944484,0.030332543],"study_design_scores_gemma":[0.00004432017,0.00006712197,0.36108398,0.00006941412,0.00012254278,0.000055332577,0.0005888935,0.62813514,0.0013185537,0.005103386,0.0033684839,0.000042770676],"about_ca_topic_score_codex":0.0459388,"about_ca_topic_score_gemma":0.09175564,"teacher_disagreement_score":0.9540612,"about_ca_system_score_codex":0.0009679612,"about_ca_system_score_gemma":0.0009938456,"threshold_uncertainty_score":0.09134281},"labels":[],"label_agreement":null},{"id":"W2042023080","doi":"10.1007/s10584-013-0843-z","title":"A note on climate change adaptation for seaports: a challenge for global ports, a challenge for global society","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":176,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Universidad El Bosque","keywords":"Port (circuit theory); Climate change; Adaptation (eye); Supply chain; Business; Investment (military); Global warming; Storm; Extreme weather; Environmental resource management; Environmental planning; Natural resource economics; Geography; Political science; Economics; Engineering; Marketing; Meteorology; Ecology; Politics","score_opus":0.12149283128810413,"score_gpt":0.3216918151480323,"score_spread":0.20019898385992818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042023080","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007885232,0.0049855737,0.0005337715,0.96499425,0.0206876,0.000010417503,0.00012831534,0.000057551526,0.007813971],"genre_scores_gemma":[0.045229528,0.020047769,0.0074049886,0.852371,0.024350548,0.000117648146,0.00029443315,0.00019109315,0.049992952],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9931901,0.0017439714,0.00066129584,0.00087902974,0.0023953943,0.0011302207],"domain_scores_gemma":[0.9657619,0.014756299,0.0010652994,0.0023181487,0.0103093255,0.00578905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012595269,0.0014948723,0.001573808,0.0010260595,0.0074340603,0.013411695,0.0033528716,0.036093198,0.021936174],"category_scores_gemma":[0.02335375,0.00045441574,0.0018431944,0.0017438078,0.009615077,0.017867606,0.0071813953,0.034124937,0.0033266293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006853921,0.00007314339,0.0008049177,0.00022951707,0.00003794144,0.00035634244,0.000966827,0.0004703693,0.0008195465,0.061282087,0.91347945,0.021411164],"study_design_scores_gemma":[0.000048869028,0.000084104744,0.0018969836,0.00056010106,0.00005231369,0.00018233588,0.0049276017,0.00039339505,0.0003783658,0.043526504,0.94782096,0.00012847345],"about_ca_topic_score_codex":0.041391198,"about_ca_topic_score_gemma":0.07440876,"teacher_disagreement_score":0.041391198,"about_ca_system_score_codex":0.0038473872,"about_ca_system_score_gemma":0.038025007,"threshold_uncertainty_score":0.082300544},"labels":[],"label_agreement":null},{"id":"W2042929705","doi":"10.1007/s10584-012-0496-3","title":"Current state and trends in Canadian Arctic marine ecosystems: I. Primary production","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Fisheries and Oceans Canada; Ocean Networks Canada Society; University of Victoria; Université Laval","funders":"Aboriginal Affairs and Northern Development Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; ArcticNet","keywords":"Upwelling; Marine ecosystem; Oceanography; Food web; Arctic; Pelagic zone; Environmental science; Trophic level; Ecosystem; Sea ice; Ecosystem-based management; Primary producers; Arctic geoengineering; Arctic ecology; Ecology; Arctic ice pack; Phytoplankton; Geology; Biology; Antarctic sea ice","score_opus":0.04739349673856697,"score_gpt":0.275725015601508,"score_spread":0.228331518862941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042929705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9195955,0.028272027,0.0007701454,0.0038744113,0.00012782618,0.000034658115,0.023127224,0.00013634746,0.024061913],"genre_scores_gemma":[0.9824593,0.008702011,0.00088068034,0.00026994973,0.000040230545,0.000012788625,0.0055132625,0.000013804767,0.002107936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954516,0.000014830296,0.000036883906,0.0000837881,0.00019894389,0.00012021038],"domain_scores_gemma":[0.99720734,0.00009785481,0.0003601411,0.000048606486,0.0019711845,0.00031473054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007446287,0.00030480736,0.00020576044,0.002819446,0.0016889144,0.0016820816,0.0007485867,0.00042162396,0.0018244097],"category_scores_gemma":[0.001192292,0.0001555454,0.00037211977,0.0061042956,0.0007627946,0.0007249,0.0005535088,0.0004938045,0.00025530055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019889079,0.000038932812,0.90805465,0.0004827277,0.00018887165,0.00012918703,0.0011364951,0.00063343294,0.0019910117,0.0007318769,0.0056969123,0.08071701],"study_design_scores_gemma":[0.0000039288934,0.000025721545,0.9848162,0.000061929626,0.000046985697,0.00007145201,0.0008734181,0.0004042442,0.0002569743,0.000060330138,0.0133625325,0.000016241198],"about_ca_topic_score_codex":0.9789854,"about_ca_topic_score_gemma":0.9881131,"teacher_disagreement_score":0.021014571,"about_ca_system_score_codex":0.0165693,"about_ca_system_score_gemma":0.014705879,"threshold_uncertainty_score":0.12021923},"labels":[],"label_agreement":null},{"id":"W2049155114","doi":"10.1007/s10584-012-0587-1","title":"Effects of observed and experimental climate change on terrestrial ecosystems in northern Canada: results from the Canadian IPY program","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; University of Saskatchewan; University of Alberta; Natural Resources Canada; Université du Québec à Trois-Rivières; Dalhousie University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet; Aboriginal Affairs and Northern Development Canada; Parks Canada","keywords":"Tundra; Biome; Terrestrial ecosystem; Ecosystem; Environmental science; Permafrost; Climate change; Ecology; Arctic; Global warming; Vegetation (pathology); Taiga; Shrub; Physical geography; Geography; Biology","score_opus":0.10397055922360153,"score_gpt":0.256524286653768,"score_spread":0.15255372743016643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049155114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955224,0.0002398887,0.0001047101,0.000096310505,0.0000075289167,0.00007385094,0.0024956258,0.000021362906,0.0014384568],"genre_scores_gemma":[0.9936655,0.00040851155,0.00055658066,0.00014239491,0.000004792496,0.00012699043,0.0035543873,0.000009582656,0.0015312516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931574,0.00009518064,0.000020401876,0.00011477342,0.0002303623,0.00022351813],"domain_scores_gemma":[0.9978331,0.00025246438,0.00026870053,0.00014183336,0.0009925347,0.0005113854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009213323,0.00042391528,0.0003201325,0.0004231984,0.002349832,0.00058985385,0.0008019984,0.00025981286,0.0008751362],"category_scores_gemma":[0.0014478188,0.00020581539,0.00050153723,0.0014153376,0.0009271147,0.00028189132,0.00055839744,0.00052134076,0.00009626347],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037921034,0.002153142,0.92694116,0.00031442198,0.00058008,0.00031823906,0.0028848157,0.0037813745,0.013121323,0.00029330348,0.0064920085,0.039328035],"study_design_scores_gemma":[0.00003230682,0.00019494601,0.99646217,0.000006886093,0.000044684035,0.000014678777,0.00074826187,0.0004416676,0.0007601442,0.000020980568,0.0012611069,0.000012245562],"about_ca_topic_score_codex":0.9890297,"about_ca_topic_score_gemma":0.99548006,"teacher_disagreement_score":0.028480345,"about_ca_system_score_codex":0.028480345,"about_ca_system_score_gemma":0.022292765,"threshold_uncertainty_score":0.2066403},"labels":[],"label_agreement":null},{"id":"W2050155791","doi":"10.1007/s10584-005-1815-8","title":"Climate Change Scenarios for the Hudson Bay Region: An Intermodel Comparison","year":2005,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Permafrost; Environmental science; Climatology; Sea ice; Global warming; Precipitation; Climate model; Climate change; Arctic; Bay; Cryosphere; Arctic sea ice decline; Subarctic climate; Arctic ice pack; Sea surface temperature; Oceanography; Geology; Sea ice thickness; Geography; Meteorology","score_opus":0.23769123981682316,"score_gpt":0.32723039100889073,"score_spread":0.08953915119206757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050155791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99085486,0.00030192873,0.00059792807,0.00023305624,0.00004376075,0.000020658264,0.0044676573,0.00008226256,0.003397957],"genre_scores_gemma":[0.9966775,0.00012895034,0.00041238108,0.00004693141,0.000009117752,0.000018317309,0.0021362796,0.000030576735,0.0005398353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993407,0.0003499039,0.00003611083,0.000118056705,0.00006836092,0.00008688757],"domain_scores_gemma":[0.99870694,0.00069653045,0.00013378532,0.000121886595,0.00020812493,0.00013265839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027612192,0.0007392502,0.00089827133,0.0012662411,0.00055850204,0.001071668,0.0014504201,0.0011434659,0.00460034],"category_scores_gemma":[0.0026863485,0.00044815577,0.0014825311,0.0015517422,0.00049415743,0.0014959245,0.00061708566,0.00057388813,0.00031489637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028389995,0.00019541448,0.04461973,0.0001000795,0.0008699724,0.00034616466,0.00012676281,0.9386801,0.0010800719,0.0022010144,0.0031601344,0.005781556],"study_design_scores_gemma":[0.0024203733,0.0010804036,0.16455217,0.000060040045,0.0011300908,0.00018123834,0.00089593965,0.8171127,0.0023057016,0.0046054022,0.0054803225,0.00017557314],"about_ca_topic_score_codex":0.14378805,"about_ca_topic_score_gemma":0.12277558,"teacher_disagreement_score":0.85621196,"about_ca_system_score_codex":0.0038040497,"about_ca_system_score_gemma":0.0011800268,"threshold_uncertainty_score":0.2859022},"labels":[],"label_agreement":null},{"id":"W2053450910","doi":"10.1007/s10584-010-9984-5","title":"Systematic under- and overestimation of GHG reductions in renewable biomass systems","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Greenhouse gas; Biomass (ecology); Environmental science; Natural resource economics; Global warming; Renewable resource; Global-warming potential; Methane; Climate change; Economics; Ecology","score_opus":0.02383642100460102,"score_gpt":0.26227495082564894,"score_spread":0.23843852982104793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053450910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831889,0.0026338093,0.0055766604,0.00093774707,0.000067533816,0.000018937591,0.0019767187,0.0001575323,0.005442201],"genre_scores_gemma":[0.9978125,0.00046499883,0.0007785565,0.00015891573,0.000015792006,0.000006321861,0.0005046021,0.00002196808,0.00023628928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980648,0.0007526932,0.00014889185,0.00035284532,0.0005385888,0.00014218906],"domain_scores_gemma":[0.9900643,0.0045006564,0.0024925186,0.0014644339,0.0013434736,0.00013451395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048425067,0.00033095505,0.00041886637,0.0007125811,0.00026037727,0.0008770725,0.000314545,0.00035463882,0.00074798486],"category_scores_gemma":[0.010713248,0.00025084623,0.00039525836,0.0015636181,0.0005260948,0.0007535003,0.0009442286,0.00043804082,0.00026117687],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010136405,0.000047681293,0.8289281,0.0009255326,0.0011363338,0.00024003536,0.0008361147,0.051674023,0.01950083,0.0027479213,0.00420869,0.08874122],"study_design_scores_gemma":[0.000021842185,0.000078800505,0.9475282,0.000121373065,0.0003649186,0.0001875068,0.000622841,0.021997856,0.015025148,0.0034612908,0.010552868,0.000037447964],"about_ca_topic_score_codex":0.011477585,"about_ca_topic_score_gemma":0.01999803,"teacher_disagreement_score":0.011477585,"about_ca_system_score_codex":0.00083091715,"about_ca_system_score_gemma":0.00082059304,"threshold_uncertainty_score":0.02560991},"labels":[],"label_agreement":null},{"id":"W2055095913","doi":"10.1007/s10584-013-0782-8","title":"A transition from CMIP3 to CMIP5 for climate information providers: the case of surface temperature over eastern North America","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec à Montréal; Ouranos","funders":"","keywords":"Coupled model intercomparison project; Radiative forcing; Environmental science; Forcing (mathematics); Climate change; Climatology; Metric (unit); Global warming; Global temperature; Climate sensitivity; Climate model; Radiative transfer; Mean radiant temperature; Physics; Geology","score_opus":0.025084340869406876,"score_gpt":0.2388763353675607,"score_spread":0.21379199449815384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055095913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8743084,0.00074197224,0.008314527,0.06222987,0.0004479219,0.00013547594,0.0031284604,0.0002878993,0.050405405],"genre_scores_gemma":[0.99180216,0.00013845852,0.004722192,0.001763418,0.00005293743,0.000030395266,0.00044879026,0.00006797477,0.0009736545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977568,0.00066455576,0.00010368084,0.00031229787,0.00065919105,0.0005035358],"domain_scores_gemma":[0.9926367,0.0025040929,0.00069855386,0.0010131667,0.0022900058,0.0008575492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00750267,0.00020707754,0.00024664873,0.00056160183,0.0023922361,0.004928379,0.0017307106,0.0027679286,0.005670892],"category_scores_gemma":[0.021031253,0.00045458818,0.00042703951,0.0017523434,0.0019987642,0.008214843,0.0015790391,0.0045246095,0.0004473242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012269616,0.00060760236,0.2712479,0.00025587127,0.00017824567,0.0031437455,0.0072896853,0.040552426,0.00995772,0.4632957,0.11324657,0.08899753],"study_design_scores_gemma":[0.00039814375,0.00022551032,0.5793834,0.00048387705,0.0001391104,0.00084024225,0.015556043,0.120991506,0.004708314,0.13641682,0.14061132,0.00024576526],"about_ca_topic_score_codex":0.23397823,"about_ca_topic_score_gemma":0.19718352,"teacher_disagreement_score":0.23397823,"about_ca_system_score_codex":0.0069442326,"about_ca_system_score_gemma":0.004598085,"threshold_uncertainty_score":0.4652326},"labels":[],"label_agreement":null},{"id":"W2055485875","doi":"10.1007/s10584-012-0560-z","title":"On the simulation of Laurentian Great Lakes water levels under projections of global climate change","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"GCM transcription factors; Environmental science; Climate change; Surface runoff; Climatology; Climate model; Structural basin; Range (aeronautics); Precipitation; Routing (electronic design automation); Hydrology (agriculture); General Circulation Model; Meteorology; Geology; Computer science; Geography; Ecology","score_opus":0.09658032854818527,"score_gpt":0.2975585188957109,"score_spread":0.20097819034752562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055485875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99041545,0.00009398765,0.0016638592,0.0011678222,0.0000623499,0.0000238059,0.0006750552,0.00008469492,0.0058130524],"genre_scores_gemma":[0.9965348,0.000072896764,0.0015713345,0.00009738343,0.000017629916,0.000018603048,0.00038784323,0.000026418182,0.0012731659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996784,0.00015760388,0.000015850064,0.000048622576,0.000038051418,0.00006160007],"domain_scores_gemma":[0.9976907,0.0015813783,0.00014951278,0.00008008431,0.00027362007,0.00022470998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011365279,0.0005719698,0.0005859877,0.0005503897,0.00093706464,0.0013958785,0.0011555419,0.0021809859,0.0034899835],"category_scores_gemma":[0.0058396785,0.00065366505,0.00069071853,0.0006522898,0.0012771842,0.001011695,0.0010118835,0.0013343475,0.00019907928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088963556,0.0000475604,0.0061392817,0.000011544333,0.000029229912,0.000065589295,0.000048656693,0.99137634,0.00014610872,0.000756328,0.0004860009,0.0008044442],"study_design_scores_gemma":[0.000033155273,0.000022475206,0.001675803,0.0000030017682,0.000008753169,0.00000358487,0.00006738194,0.99774194,0.00009061301,0.00018256894,0.00016424757,0.0000065503827],"about_ca_topic_score_codex":0.31511816,"about_ca_topic_score_gemma":0.2847184,"teacher_disagreement_score":0.6848818,"about_ca_system_score_codex":0.0031075203,"about_ca_system_score_gemma":0.002878374,"threshold_uncertainty_score":0.62656796},"labels":[],"label_agreement":null},{"id":"W2055856386","doi":"10.1007/s10584-012-0456-y","title":"Seeing the trees for the carbon: agroforestry for development and carbon mitigation","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Climate change mitigation; Climate change; Carbon sequestration; Business; Land use, land-use change and forestry; Land use; Environmental planning; Greenhouse gas; Environmental resource management; Agroforestry; Environmental science; Natural resource economics; Economics; Ecology","score_opus":0.06621020938745137,"score_gpt":0.24056978953346073,"score_spread":0.17435958014600936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055856386","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0603861,0.13578081,0.011543203,0.62416154,0.0038367715,0.000016543458,0.00023654768,0.00014340981,0.16389512],"genre_scores_gemma":[0.87792057,0.067673266,0.007070228,0.01990525,0.0026588063,0.000015317695,0.00006560925,0.00005037512,0.024640622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995952,0.00015681761,0.0000071540817,0.000044761437,0.00012987452,0.00006620682],"domain_scores_gemma":[0.9992508,0.00029979792,0.000061103645,0.00005577336,0.00011383604,0.00021863326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012300308,0.00027274946,0.00026015073,0.0004453241,0.0019747617,0.00457943,0.00034283625,0.002455017,0.009155991],"category_scores_gemma":[0.002040006,0.00011679198,0.00012198856,0.00090430543,0.004028525,0.0054915524,0.0014296385,0.0025530779,0.00055167614],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016149128,0.00013777842,0.013525637,0.0004896352,0.00004396982,0.000474449,0.0046634846,0.0017398589,0.0041887336,0.44127107,0.15644328,0.3768606],"study_design_scores_gemma":[0.000032265107,0.00006545724,0.018586367,0.0004103093,0.000039024922,0.0006633696,0.010488277,0.0019816612,0.0011390601,0.6109089,0.3556306,0.000054675926],"about_ca_topic_score_codex":0.009114305,"about_ca_topic_score_gemma":0.048928782,"teacher_disagreement_score":0.009155991,"about_ca_system_score_codex":0.0015540126,"about_ca_system_score_gemma":0.0022378946,"threshold_uncertainty_score":0.030629814},"labels":[],"label_agreement":null},{"id":"W2055908263","doi":"10.1007/s10584-012-0477-6","title":"Change and variability in sea ice during the 2007–2008 Canadian International Polar Year program","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Inuit Tapiriit Kanatami; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Sea ice; Climate change; Arctic; Oceanography; Arctic sea ice decline; Climatology; Cryosphere; Global change; Arctic ice pack; Environmental science; Geography; Antarctic sea ice; Physical geography; Geology","score_opus":0.032722226333657865,"score_gpt":0.23832743529345823,"score_spread":0.20560520895980036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055908263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87350076,0.0049949475,0.00078193116,0.0027518517,0.00020224185,0.00010383934,0.0855394,0.00008274405,0.0320423],"genre_scores_gemma":[0.9655984,0.002577518,0.00085334794,0.00027747144,0.00004448159,0.00004766965,0.02710927,0.000028849121,0.003463171],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918383,0.00003207293,0.00003275686,0.000100942125,0.00042666262,0.00022369374],"domain_scores_gemma":[0.9967108,0.00012806783,0.00042738853,0.000057840418,0.0023996066,0.00027631936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009292384,0.000294653,0.00028173736,0.0032883864,0.0019136455,0.0015994734,0.0007194641,0.00024515434,0.0011852426],"category_scores_gemma":[0.0024895626,0.000116175404,0.00027669396,0.008773372,0.0006460737,0.0004870825,0.00095143355,0.00058036216,0.00013679118],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015677194,0.000032758082,0.93259066,0.00020626355,0.0001410507,0.00013146843,0.003033962,0.0013810867,0.00054887915,0.00183901,0.018277442,0.041660734],"study_design_scores_gemma":[0.0000021436272,0.0000053309586,0.98713243,0.000030005825,0.000012114677,0.000018965467,0.0010450903,0.0002503188,0.00011215817,0.00003884646,0.01134226,0.000010430605],"about_ca_topic_score_codex":0.9932828,"about_ca_topic_score_gemma":0.9966769,"teacher_disagreement_score":0.025781715,"about_ca_system_score_codex":0.025781715,"about_ca_system_score_gemma":0.03241817,"threshold_uncertainty_score":0.1870603},"labels":[],"label_agreement":null},{"id":"W2056195168","doi":"10.1007/s10584-012-0483-8","title":"Current state and trends in Canadian Arctic marine ecosystems: II. Heterotrophic food web, pelagic-benthic coupling, and biodiversity","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada; Université du Québec à Rimouski; Université Laval","funders":"Aboriginal Affairs and Northern Development Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; ArcticNet","keywords":"Benthic zone; Pelagic zone; Arctic; Oceanography; Food web; Environmental science; Zooplankton; Marine ecosystem; Ecosystem; Ecology; Biodiversity; Fishery; Biology; Geology","score_opus":0.052657224098700925,"score_gpt":0.2507368546647889,"score_spread":0.19807963056608796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056195168","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5858511,0.31033054,0.002074954,0.026255568,0.00053696247,0.0000698814,0.024807218,0.00034964932,0.049724195],"genre_scores_gemma":[0.9048536,0.07993167,0.002612131,0.0017596575,0.00022109486,0.00003401378,0.0068530967,0.000029484067,0.003705196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993994,0.000029398821,0.000054539072,0.00008669461,0.00025950617,0.0001704802],"domain_scores_gemma":[0.9961188,0.00023628288,0.0006316996,0.000060802497,0.0023380476,0.00061446364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013213231,0.00040885515,0.0003671691,0.004265408,0.00225003,0.0028088158,0.0011712048,0.00079672085,0.003377704],"category_scores_gemma":[0.0018530046,0.00022147868,0.000501505,0.0098577365,0.0014233943,0.0014405615,0.00091364904,0.0008112511,0.00037436196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029475772,0.000060348644,0.7019486,0.002500175,0.00032005945,0.00017185614,0.0019635097,0.0010511348,0.0020431578,0.003006494,0.0134725915,0.27316728],"study_design_scores_gemma":[0.0000068205745,0.000039598715,0.95394576,0.00034308765,0.0001319401,0.00010944542,0.001994876,0.00070076436,0.00020567901,0.00043235754,0.042047516,0.000042060015],"about_ca_topic_score_codex":0.96909314,"about_ca_topic_score_gemma":0.9828492,"teacher_disagreement_score":0.030906856,"about_ca_system_score_codex":0.017451199,"about_ca_system_score_gemma":0.025093911,"threshold_uncertainty_score":0.12661791},"labels":[],"label_agreement":null},{"id":"W2057790970","doi":"10.1007/s10584-015-1359-5","title":"Robust response to hydro-climatic change in electricity generation planning","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Pacific Institute for Climate Solutions","keywords":"Hydropower; Environmental science; Climate change; Electricity; Flexibility (engineering); Electricity generation; Electricity system; Environmental resource management; Robustness (evolution); Mains electricity; Engineering; Economics; Ecology","score_opus":0.26102520777037497,"score_gpt":0.30486246528577077,"score_spread":0.0438372575153958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057790970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889571,0.00021058386,0.004758547,0.0013917144,0.000036539343,0.00001911069,0.0007000186,0.000042261538,0.003884135],"genre_scores_gemma":[0.99932647,0.000026790363,0.00026205616,0.000041526902,0.0000070090014,0.00000424398,0.00010408398,0.0000064285464,0.0002214598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989386,0.0006898271,0.000040191066,0.0001420207,0.00008820899,0.000101028476],"domain_scores_gemma":[0.9913578,0.0062745153,0.0010381658,0.00062143954,0.00048872846,0.00021934969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004002416,0.0002582599,0.00035207995,0.0003795052,0.00026648093,0.0014634096,0.00072237087,0.000916298,0.0030263353],"category_scores_gemma":[0.018042885,0.0002703389,0.0003984464,0.00071260356,0.0004933188,0.0010450936,0.0007194466,0.0010852531,0.00021707699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014623877,0.0004985641,0.2581809,0.00015058598,0.001233925,0.00049770967,0.0003918764,0.67619616,0.0046957927,0.028919145,0.0045521995,0.023220783],"study_design_scores_gemma":[0.000077651464,0.00029913944,0.26365316,0.000028331882,0.00020593069,0.000056398865,0.0011072812,0.70160425,0.0023104963,0.028191477,0.0024088728,0.00005706743],"about_ca_topic_score_codex":0.010705554,"about_ca_topic_score_gemma":0.014672579,"teacher_disagreement_score":0.010705554,"about_ca_system_score_codex":0.0009268797,"about_ca_system_score_gemma":0.0005509909,"threshold_uncertainty_score":0.021286488},"labels":[],"label_agreement":null},{"id":"W2058512465","doi":"10.1007/s10584-012-0499-0","title":"Projected implications of climate change for road safety in Greater Vancouver, Canada","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"Transport Canada","keywords":"Climate change; Precipitation; Environmental science; Metropolitan area; Collision; Extreme weather; Climatology; Geography; Physical geography; Meteorology; Geology; Oceanography","score_opus":0.04844349674135523,"score_gpt":0.2610415156016912,"score_spread":0.21259801886033597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058512465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9707355,0.0012975727,0.00048984244,0.0053869933,0.00012949009,0.00004545564,0.008818922,0.000046508078,0.013049747],"genre_scores_gemma":[0.992601,0.0009274429,0.00029315084,0.00028245003,0.000021468033,0.000018061852,0.0016180553,0.0000074855834,0.004230959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996055,0.00003792851,0.000015486316,0.000035493147,0.000084247644,0.00022138585],"domain_scores_gemma":[0.99889565,0.000041026185,0.00005625253,0.000014099027,0.00074007426,0.00025288438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034503787,0.00040524316,0.00025650434,0.0008717087,0.0023960024,0.001839504,0.0007285907,0.00087233266,0.0040610903],"category_scores_gemma":[0.0009371012,0.00020874313,0.0005759842,0.0017433232,0.0004605001,0.0004911321,0.0006686479,0.0010493026,0.00028345254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055082125,0.00028328228,0.8863361,0.0003458905,0.0003933673,0.0016331483,0.0029043688,0.030794477,0.0038194798,0.003298146,0.02797575,0.041665204],"study_design_scores_gemma":[0.00006769882,0.000054923294,0.9565895,0.000121102414,0.00012070808,0.00011650993,0.00816272,0.013094973,0.00046808642,0.00055783184,0.020595264,0.00005064038],"about_ca_topic_score_codex":0.99434835,"about_ca_topic_score_gemma":0.9979965,"teacher_disagreement_score":0.026577171,"about_ca_system_score_codex":0.026577171,"about_ca_system_score_gemma":0.026467184,"threshold_uncertainty_score":0.19283181},"labels":[],"label_agreement":null},{"id":"W2058973503","doi":"10.1007/s10584-010-9852-3","title":"Public health impacts of climate change in Washington State: projected mortality risks due to heat events and air pollution","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National Oceanic and Atmospheric Administration; Department of Health, Government of Western Australia","keywords":"Percentile; Climate change; Population; Public health; Demography; Environmental science; Geography; Environmental health; Medicine","score_opus":0.2078493697112448,"score_gpt":0.39199189559224606,"score_spread":0.18414252588100127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058973503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984417,0.00092846126,0.0007161256,0.0025409227,0.00016746452,0.000027755474,0.0073506995,0.000038416285,0.003813089],"genre_scores_gemma":[0.994918,0.0007580765,0.00020784314,0.00010175068,0.000058235957,0.000018867144,0.0027547127,0.000002293319,0.0011802716],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980825,0.000048436767,0.000011670655,0.00002041386,0.000039121584,0.000072161485],"domain_scores_gemma":[0.9996785,0.000054019398,0.00007703462,0.000011628515,0.00010628852,0.00007255696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042905935,0.0004334131,0.00017353338,0.00064531,0.00036650273,0.00065304426,0.0003235204,0.00078358175,0.0016959688],"category_scores_gemma":[0.0008022261,0.00022974711,0.00076725916,0.00070585107,0.00022430213,0.0005710639,0.00057126174,0.0007691753,0.00022930089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007408866,0.00025208382,0.93238133,0.0001617965,0.0006164673,0.0005816991,0.00026505624,0.03689062,0.0013485813,0.0014499692,0.008279332,0.017032089],"study_design_scores_gemma":[0.00004087879,0.00018844313,0.975973,0.00006495666,0.00025759553,0.00018169018,0.00087686355,0.016955491,0.0007287172,0.0008287257,0.0038771864,0.000026442936],"about_ca_topic_score_codex":0.10026669,"about_ca_topic_score_gemma":0.15099026,"teacher_disagreement_score":0.10026669,"about_ca_system_score_codex":0.0017411445,"about_ca_system_score_gemma":0.0013801168,"threshold_uncertainty_score":0.19936615},"labels":[],"label_agreement":null},{"id":"W2059085546","doi":"10.1007/s10584-014-1154-8","title":"Climate change impacts on extreme temperature mortality in select metropolitan areas in the United States","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Headwaters Health Care Centre","funders":"Centers for Disease Control and Prevention; Emory University; U.S. Environmental Protection Agency","keywords":"Metropolitan area; Climate change; Greenhouse gas; Scope (computer science); Environmental science; Population; Geography; Global warming; Climatology; Natural resource economics; Environmental health; Economics; Ecology; Medicine","score_opus":0.15037710986013642,"score_gpt":0.34712972567649847,"score_spread":0.19675261581636205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059085546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979506,0.00007120219,0.00037954948,0.000091414695,0.0000030429396,0.0000060391258,0.00082826463,0.0000072252756,0.0006626022],"genre_scores_gemma":[0.99889463,0.00006735873,0.00012193403,0.000012550678,0.0000026173416,0.00000871756,0.0007558406,0.0000013673294,0.00013507373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978083,0.00011246594,0.000011372259,0.000029851735,0.000030380997,0.000035102028],"domain_scores_gemma":[0.9994598,0.0001559563,0.0001638522,0.00003559247,0.0001352172,0.000049649647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048315543,0.00021017708,0.00012325158,0.00052505557,0.00018289844,0.00035208266,0.00021914975,0.00017331362,0.0010034856],"category_scores_gemma":[0.0014085486,0.000102031736,0.00043165393,0.0006540318,0.00014849911,0.0002414325,0.0006089529,0.00022116487,0.000102557315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010707137,0.000040804724,0.97045934,0.000021283788,0.0001698487,0.000097529206,0.00017049606,0.022429712,0.0003310683,0.00037497227,0.0008843988,0.0049133995],"study_design_scores_gemma":[0.0000069426633,0.0000647787,0.97876316,0.000011679048,0.00003891535,0.000059910744,0.0006047277,0.019130995,0.00025029437,0.00031453316,0.000745205,0.000008841151],"about_ca_topic_score_codex":0.03537145,"about_ca_topic_score_gemma":0.07322413,"teacher_disagreement_score":0.03537145,"about_ca_system_score_codex":0.00066220306,"about_ca_system_score_gemma":0.00030905943,"threshold_uncertainty_score":0.070331156},"labels":[],"label_agreement":null},{"id":"W2059712557","doi":"10.1007/s10584-007-9387-4","title":"Biomass with capture: negative emissions within social and environmental constraints: an editorial comment","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental science; Biomass (ecology); Biomass burning; Natural resource economics; Atmospheric sciences; Economics; Meteorology; Oceanography; Geography; Geology","score_opus":0.03373726617219671,"score_gpt":0.2277632232717118,"score_spread":0.1940259570995151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059712557","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011651186,0.0047511635,0.000167843,0.42080298,0.5724804,0.000015330195,0.000072555704,0.000050057777,0.0015430669],"genre_scores_gemma":[0.0013280066,0.003500996,0.00018804098,0.3546984,0.6371269,0.000025458896,0.00002432815,0.000057216726,0.0030505958],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99004793,0.0018160018,0.001291886,0.0018447642,0.004148256,0.0008511616],"domain_scores_gemma":[0.94840336,0.030782813,0.002419848,0.0018621219,0.012699276,0.0038324418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013013305,0.0018801248,0.0020599226,0.0013720943,0.005147973,0.008642923,0.006677529,0.04822923,0.0077221324],"category_scores_gemma":[0.047791824,0.0008991362,0.0024343322,0.0015953507,0.0075454656,0.009391974,0.0030215052,0.045461234,0.0073512034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002200801,0.000010868189,0.00004739335,0.00015447925,0.000010850085,0.00013749144,0.00008662541,0.00002179777,0.00006772263,0.0012000059,0.9953501,0.0028906674],"study_design_scores_gemma":[0.000039177467,0.00002903135,0.00028542458,0.00042468624,0.000026094336,0.00032239925,0.00018217538,0.000116127165,0.00019322797,0.0030255385,0.9953216,0.000034522465],"about_ca_topic_score_codex":0.0036466417,"about_ca_topic_score_gemma":0.0047906,"teacher_disagreement_score":0.04822923,"about_ca_system_score_codex":0.004026729,"about_ca_system_score_gemma":0.006230211,"threshold_uncertainty_score":0.06882173},"labels":[],"label_agreement":null},{"id":"W2059998194","doi":"10.1007/s10584-010-9861-2","title":"A process-based approach to estimate lodgepole pine (Pinus contorta Dougl.) distribution in the Pacific Northwest under climate change","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Forest Service; National Aeronautics and Space Administration","keywords":"Pinus contorta; Environmental science; Climate change; Frost (temperature); Range (aeronautics); Species distribution; Ecosystem; Productivity; Physical geography; Climatology; Ecology; Atmospheric sciences; Geography; Habitat; Biology; Meteorology; Geology","score_opus":0.025450627737100648,"score_gpt":0.27623660282069906,"score_spread":0.2507859750835984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059998194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7504702,0.00026141398,0.24642846,0.00017637436,0.000031314095,0.00012119339,0.00061817677,0.00032353948,0.0015692522],"genre_scores_gemma":[0.964593,0.00007491295,0.034309916,0.000016022821,0.000018895169,0.00005152478,0.00059015036,0.000011434527,0.00033424105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995797,0.00010872696,0.000029311255,0.00013726548,0.00010268442,0.000042311178],"domain_scores_gemma":[0.99875486,0.00077090395,0.0001357717,0.000058025624,0.00021780735,0.0000627409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012156843,0.00046982602,0.00041048625,0.0023701254,0.0006215468,0.0009715553,0.00068912865,0.0007418349,0.0005846961],"category_scores_gemma":[0.0032656172,0.00034649053,0.00072468555,0.0011761569,0.00027806676,0.000704555,0.0005418385,0.000642274,0.000108684864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033339288,0.0006221964,0.27639896,0.00008280101,0.0005011712,0.00020631557,0.00020840882,0.60901463,0.0038005807,0.00341884,0.0004509515,0.1049618],"study_design_scores_gemma":[0.000010763939,0.000031924053,0.024260394,0.0000031887525,0.000032264805,0.000018563882,0.000048974147,0.9739562,0.0003082294,0.00119893,0.00012177366,0.000008786561],"about_ca_topic_score_codex":0.06335095,"about_ca_topic_score_gemma":0.05347954,"teacher_disagreement_score":0.06335095,"about_ca_system_score_codex":0.0008897514,"about_ca_system_score_gemma":0.001075741,"threshold_uncertainty_score":0.1259644},"labels":[],"label_agreement":null},{"id":"W2060229552","doi":"10.1007/s10584-009-9665-4","title":"Vulnerability and adaptation in a dryland community of the Elqui Valley, Chile","year":2009,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; University of Guelph","funders":"","keywords":"Climate change; Livelihood; Vulnerability (computing); Context (archaeology); Geography; Water resources; Water scarcity; Agriculture; Environmental science; Environmental resource management; Water resource management; Ecology","score_opus":0.13101048745964353,"score_gpt":0.27578692540027283,"score_spread":0.1447764379406293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060229552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904865,0.00003487279,0.0000183092,0.00015740022,0.0000012289782,0.000010106788,0.000039430448,7.8382106e-7,0.0006891505],"genre_scores_gemma":[0.99908113,0.00009983665,0.000046545043,0.00005422892,0.0000018757347,0.000023097722,0.000044287168,0.0000010933156,0.0006478068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977666,0.00008086821,0.000008218412,0.000026826341,0.000019718333,0.00008773424],"domain_scores_gemma":[0.999572,0.000085917054,0.00009644707,0.00001967048,0.00007224406,0.00015381715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034030684,0.00017649437,0.00023887763,0.0006057994,0.0029031122,0.0013746768,0.0004924494,0.0003412801,0.0023517625],"category_scores_gemma":[0.0012725512,0.00015566558,0.0001556589,0.0007569957,0.0012321303,0.000673143,0.0024812743,0.0005212841,0.00013389744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023827142,0.0006017288,0.7213613,0.00016069983,0.00006391551,0.008208152,0.24281129,0.0004711871,0.002329895,0.0016980028,0.0023188672,0.01973667],"study_design_scores_gemma":[0.000029049646,0.00017518814,0.5904056,0.00010226276,0.00001833507,0.0011037239,0.4016379,0.0007451708,0.00019048873,0.0008486055,0.0047124545,0.000031230167],"about_ca_topic_score_codex":0.114773765,"about_ca_topic_score_gemma":0.18247753,"teacher_disagreement_score":0.114773765,"about_ca_system_score_codex":0.002855274,"about_ca_system_score_gemma":0.0018451394,"threshold_uncertainty_score":0.2282114},"labels":[],"label_agreement":null},{"id":"W2060334323","doi":"10.1007/s10584-009-9587-1","title":"Linking Inuit knowledge and meteorological station observations to understand changing wind patterns at Clyde River, Nunavut","year":2009,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":169,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Government of Nunavut","funders":"Natural Sciences and Engineering Research Council of Canada; Cooperative Institute for Research in Environmental Sciences; National Science Foundation","keywords":"Arctic; Global wind patterns; Climate change; Climatology; Environmental science; Wind speed; Geography; Meteorology; Oceanography; Physical geography; Geology","score_opus":0.20795735780314245,"score_gpt":0.39958558899401014,"score_spread":0.1916282311908677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060334323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979668,0.00008373042,0.00007253919,0.00016433583,0.0000025479328,0.000006021913,0.00010089583,0.0000015389662,0.001601546],"genre_scores_gemma":[0.99930143,0.00008983412,0.00013557266,0.000020650165,0.000001599151,0.000005803499,0.0000492379,8.6823195e-7,0.00039518267],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9995419,0.0001555701,0.000028141227,0.00008634965,0.000060210583,0.00012793017],"domain_scores_gemma":[0.9984504,0.00062700093,0.00030579185,0.000074223084,0.00037773477,0.00016478075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072876085,0.00015025488,0.00018774926,0.0010364881,0.00210348,0.0014530531,0.0008245139,0.00028751834,0.0011773221],"category_scores_gemma":[0.0044085686,0.00016076794,0.000115577735,0.0016950365,0.00073910615,0.00078927237,0.0011713973,0.0005248975,0.00007291898],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029739302,0.00007499268,0.95078063,0.00004093852,0.000032490527,0.00017838886,0.03850314,0.00029249088,0.0004952017,0.00037542768,0.0002577742,0.008938871],"study_design_scores_gemma":[0.000001949924,0.000016615264,0.925059,0.00006864293,0.000023148425,0.00003850479,0.07295822,0.00055443245,0.00015933542,0.0001607785,0.0009501812,0.000009288117],"about_ca_topic_score_codex":0.91404027,"about_ca_topic_score_gemma":0.96864545,"teacher_disagreement_score":0.08595973,"about_ca_system_score_codex":0.0041127526,"about_ca_system_score_gemma":0.00528405,"threshold_uncertainty_score":0.17293191},"labels":[],"label_agreement":null},{"id":"W2061698718","doi":"10.1007/s10584-011-0252-0","title":"Possible impacts of climate change on extreme weather events at local scale in south–central Canada","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Impact; Environment and Climate Change Canada","funders":"Natural Resources Canada; Health Canada; Government of Canada","keywords":"Downscaling; Climate change; Environmental science; Extreme weather; Climatology; Scale (ratio); Meteorology; Geography; Precipitation; Ecology; Cartography","score_opus":0.08497351680070259,"score_gpt":0.238850289227824,"score_spread":0.15387677242712142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061698718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914057,0.00014985203,0.0005520421,0.0007638151,0.000011195224,0.000033956676,0.00078382285,0.000028527764,0.006270984],"genre_scores_gemma":[0.9985826,0.00014402778,0.00026454768,0.00004572031,0.0000023772068,0.0000058470164,0.00024495003,0.0000030402734,0.00070687674],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971133,0.000036454352,0.000008755294,0.000025149433,0.000083689505,0.00013466562],"domain_scores_gemma":[0.99945194,0.00007559122,0.00005152745,0.000016397244,0.00029879806,0.00010584782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003986309,0.00019967316,0.00018707414,0.0007218134,0.001655129,0.0012841241,0.0005992156,0.00025574368,0.0018002866],"category_scores_gemma":[0.0010660229,0.00013418835,0.00040838754,0.0012293432,0.0006544312,0.00031920665,0.00077934196,0.00044080836,0.000056591813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031189306,0.00010724873,0.8880133,0.0001229594,0.0001937399,0.0016242294,0.0019716197,0.07085909,0.0038356313,0.005581545,0.0043035946,0.023075078],"study_design_scores_gemma":[0.000012793782,0.000020973626,0.9610963,0.000026755237,0.000055381865,0.000047878984,0.0044576293,0.03026561,0.0005950984,0.000747994,0.002634907,0.00003864316],"about_ca_topic_score_codex":0.9884023,"about_ca_topic_score_gemma":0.99246794,"teacher_disagreement_score":0.019318363,"about_ca_system_score_codex":0.019318363,"about_ca_system_score_gemma":0.015027546,"threshold_uncertainty_score":0.14016521},"labels":[],"label_agreement":null},{"id":"W2062716087","doi":"10.1007/s10584-011-0375-3","title":"Projecting and hindcasting potential evaporation for the UK between 1950 and 2099","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"HadCM3; Hindcast; Climate change; Environmental science; Evaporation; Range (aeronautics); Potential evaporation; Climatology; Variance (accounting); Climate model; GCM transcription factors; Econometrics; General Circulation Model; Meteorology; Mathematics; Geology; Geography; Accounting","score_opus":0.1354406635211774,"score_gpt":0.30463004492335893,"score_spread":0.16918938140218154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062716087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853234,0.00045004068,0.0015883002,0.00041866195,0.00016652839,0.00001009326,0.008910462,0.00009243993,0.0030399614],"genre_scores_gemma":[0.9945657,0.0002375522,0.00064869627,0.000031135292,0.000021595271,0.0000119873885,0.0032647173,0.00001906243,0.0011996069],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986446,0.000020434953,0.000018680983,0.00003632309,0.000022453338,0.000037586706],"domain_scores_gemma":[0.9997104,0.000066878725,0.000050879276,0.00003906183,0.000094838964,0.000037957816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003495712,0.00029782526,0.00027346707,0.00047742567,0.0002939297,0.00067581673,0.0003080736,0.00060238055,0.0018143671],"category_scores_gemma":[0.0014802684,0.00030600844,0.0006164711,0.0010448194,0.00028213707,0.0008421535,0.00059410586,0.0005576568,0.00045176002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011277765,0.00010674712,0.21278928,0.0004357852,0.0004720584,0.0010030599,0.0007159647,0.72018325,0.0047956565,0.0045527765,0.015289711,0.038528],"study_design_scores_gemma":[0.00025731357,0.00015159237,0.63455147,0.0001839437,0.0002465915,0.00026914282,0.0007230012,0.32889938,0.0031516333,0.0022726357,0.029126655,0.00016665175],"about_ca_topic_score_codex":0.3378399,"about_ca_topic_score_gemma":0.38664913,"teacher_disagreement_score":0.3378399,"about_ca_system_score_codex":0.0020461776,"about_ca_system_score_gemma":0.0013642489,"threshold_uncertainty_score":0.6717469},"labels":[],"label_agreement":null},{"id":"W2063495784","doi":"10.1007/s10584-014-1155-7","title":"Tropical cyclones in a regional climate change projection with RegCM4 over the CORDEX Central America domain","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Climatology; Downscaling; Forcing (mathematics); Climate model; Environmental science; Tropical cyclone; General Circulation Model; Convection; Tropical Atlantic; Climate change; Precipitation; Meteorology; Geology; Sea surface temperature; Geography; Oceanography","score_opus":0.04639905667160548,"score_gpt":0.2576652770481239,"score_spread":0.21126622037651843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063495784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895695,0.0001501221,0.00016446509,0.0001593406,0.00003248473,0.00001681229,0.008040823,0.00010718812,0.0017594305],"genre_scores_gemma":[0.9926192,0.0001254544,0.0003833817,0.00003248636,0.000015879965,0.000017480708,0.006144285,0.000014222807,0.00064764306],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986553,0.00003524613,0.000010776549,0.00003549551,0.00002564054,0.00002730007],"domain_scores_gemma":[0.9996606,0.000046983794,0.00005253662,0.000033116517,0.00015003575,0.00005670961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038728354,0.00039727145,0.00023572573,0.0006921141,0.00031663486,0.00064180436,0.0003943654,0.00041714413,0.0025883978],"category_scores_gemma":[0.00091024424,0.00019090487,0.00035421544,0.0011559575,0.00019256155,0.00035248967,0.00034100687,0.00032626683,0.00028669304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018123254,0.0003389291,0.70818627,0.00035396544,0.0005972361,0.0008510655,0.0005104589,0.23167384,0.005413998,0.002419577,0.017370032,0.03047232],"study_design_scores_gemma":[0.00018525195,0.000057230973,0.9142224,0.000049224374,0.00010564765,0.00008199686,0.00036778036,0.0767488,0.0007452668,0.00024369753,0.007165381,0.000027182026],"about_ca_topic_score_codex":0.40064144,"about_ca_topic_score_gemma":0.35728806,"teacher_disagreement_score":0.40064144,"about_ca_system_score_codex":0.0016904428,"about_ca_system_score_gemma":0.0011118863,"threshold_uncertainty_score":0.7966189},"labels":[],"label_agreement":null},{"id":"W2063597754","doi":"10.1007/s10584-009-9667-2","title":"The impact of spatial resolution on area burned and fire occurrence projections in Portugal under climate change","year":2009,"lang":"en","type":"article","venue":"Climatic Change","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Climate change; Climatology; Environmental science; Physical geography; Geography; Meteorology; Geology; Oceanography","score_opus":0.07189049623556938,"score_gpt":0.29025962873087946,"score_spread":0.2183691324953101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063597754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99252534,0.00032850105,0.0011298374,0.00037077593,0.000027235963,0.0000048348493,0.0030861567,0.00006142345,0.0024658805],"genre_scores_gemma":[0.99804986,0.0001049384,0.00043762967,0.000012646797,0.000010539841,0.000003412833,0.0011646176,0.000015138095,0.00020121627],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993082,0.00031264598,0.000052909967,0.00012998687,0.00009518111,0.0001011103],"domain_scores_gemma":[0.99707127,0.0018550562,0.00032346504,0.0002544382,0.0003793183,0.00011655897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017071537,0.0002609954,0.00033608402,0.0005290461,0.0003517111,0.0011411645,0.00041860333,0.00060032035,0.0014342142],"category_scores_gemma":[0.0056066616,0.000360168,0.0008307608,0.00080694316,0.00027803308,0.00067293074,0.000402604,0.00029227344,0.00024390398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013943635,0.000101863945,0.5945346,0.000231876,0.00037526886,0.00039135155,0.00033211533,0.37459108,0.0022084326,0.0034991282,0.0014392182,0.02090061],"study_design_scores_gemma":[0.00008948753,0.00006860331,0.7588353,0.00010619815,0.00013433887,0.00018995402,0.0005564364,0.23407292,0.0022507047,0.001481963,0.0021652589,0.000048844602],"about_ca_topic_score_codex":0.053180788,"about_ca_topic_score_gemma":0.06185803,"teacher_disagreement_score":0.053180788,"about_ca_system_score_codex":0.0011303353,"about_ca_system_score_gemma":0.0005924318,"threshold_uncertainty_score":0.105742455},"labels":[],"label_agreement":null},{"id":"W2064482501","doi":"10.1007/s10584-012-0583-5","title":"Canadian International Polar Year (2007–2008): an introduction","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Impact; Inuit Tapiriit Kanatami; Natural Resources Canada; Fisheries and Oceans Canada; Aboriginal Affairs Northern Dev Canada","funders":"","keywords":"Arctic; Cryosphere; Climate change; Wildlife; Environmental resource management; International community; Circumpolar star; The arctic; Sea ice; Geography; Environmental science; Physical geography; Political science; Oceanography; Meteorology; Ecology; Geology","score_opus":0.08983942978733012,"score_gpt":0.3890819467422884,"score_spread":0.2992425169549583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064482501","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015294325,0.11176071,0.0042386097,0.043205645,0.030916302,0.0010275028,0.43978128,0.0011624432,0.35261324],"genre_scores_gemma":[0.12942128,0.19908457,0.023367006,0.009389982,0.008339219,0.0013140332,0.36469907,0.0012883784,0.2630966],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985671,0.00005122965,0.00007892823,0.00014006402,0.0008800618,0.00028262913],"domain_scores_gemma":[0.99525934,0.00013421597,0.00020126197,0.000079792975,0.003721655,0.00060377637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016835645,0.0011280951,0.00056202005,0.015225797,0.0038593172,0.0055529787,0.0012812311,0.0006541706,0.0237774],"category_scores_gemma":[0.0029928987,0.00035184273,0.0005929936,0.027073655,0.00096654106,0.0015285756,0.0015550449,0.0014547802,0.0038367566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004841311,0.000022275457,0.00719051,0.0009520242,0.000013589225,0.000066776905,0.00048574162,0.00045296314,0.00021723752,0.008668606,0.8899034,0.09197842],"study_design_scores_gemma":[0.0000033775298,0.0000058422575,0.026099686,0.00038352044,0.000005584107,0.000024354165,0.0005220421,0.000067667235,0.000060652066,0.0002583985,0.9725442,0.000024735258],"about_ca_topic_score_codex":0.97619593,"about_ca_topic_score_gemma":0.98019433,"teacher_disagreement_score":0.037928376,"about_ca_system_score_codex":0.037928376,"about_ca_system_score_gemma":0.072370045,"threshold_uncertainty_score":0.2751909},"labels":[],"label_agreement":null},{"id":"W2065127263","doi":"10.1023/a:1005566710285","title":"The Impact of the Anomalous Weather of 1995 on the U.K. Economy","year":2000,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre de Santé et de Services Sociaux Cavendish","funders":"European Commission","keywords":"Tourism; Climate change; Consumption (sociology); Environmental science; Geography; Climatology; Geology","score_opus":0.03965503213567878,"score_gpt":0.25696265688151265,"score_spread":0.21730762474583387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065127263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97288,0.0022092545,0.0005233925,0.009237181,0.00016556126,0.000006090324,0.004347834,0.000036446338,0.010594152],"genre_scores_gemma":[0.99775773,0.0010396802,0.00007418085,0.00015623985,0.00001727933,0.0000019348747,0.0004726324,0.000007815473,0.00047258867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963415,0.00008436881,0.000032680022,0.00007518172,0.000047549333,0.00012604482],"domain_scores_gemma":[0.99900144,0.0002890714,0.0002832457,0.00007850364,0.0002256929,0.00012212618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006278884,0.00030524647,0.00026417917,0.00045562958,0.00054672704,0.0033002994,0.0006012537,0.0007327547,0.0023684686],"category_scores_gemma":[0.0049886582,0.00025933573,0.00040750144,0.0016366388,0.0006536769,0.0018782682,0.0014137015,0.0013249896,0.0002692665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009856744,0.0001240784,0.5554653,0.00031807687,0.00052893686,0.0008676889,0.0011418549,0.3025011,0.00109141,0.05422446,0.0314955,0.051255986],"study_design_scores_gemma":[0.00005257547,0.00010035318,0.778175,0.0001829797,0.00033256997,0.00030463492,0.004029798,0.1511736,0.0009851885,0.03135415,0.033205062,0.000104036706],"about_ca_topic_score_codex":0.33471167,"about_ca_topic_score_gemma":0.36369634,"teacher_disagreement_score":0.33471167,"about_ca_system_score_codex":0.007927997,"about_ca_system_score_gemma":0.0020785518,"threshold_uncertainty_score":0.66552687},"labels":[],"label_agreement":null},{"id":"W2066163689","doi":"10.1007/s10584-013-1010-2","title":"Climatic factors controlling plant sensitivity to warming","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Phenology; Environmental science; Precipitation; Global warming; Growing season; Climate change; Climatology; Range (aeronautics); Mean radiant temperature; Maximum temperature; Atmospheric sciences; Ecology; Geography; Biology; Meteorology","score_opus":0.03514508276937323,"score_gpt":0.2273985610751729,"score_spread":0.19225347830579967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066163689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99774736,0.00033348537,0.0004030231,0.000050999075,0.000006522361,0.000004588652,0.00014765082,0.000016289234,0.0012900403],"genre_scores_gemma":[0.9996861,0.00008663169,0.00005145186,0.000007719785,0.000005202851,0.0000010340499,0.0000701961,0.0000054793236,0.00008611653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998455,0.00005632165,0.000010635967,0.00003813822,0.000014485924,0.000034818728],"domain_scores_gemma":[0.99930227,0.00036582525,0.00013674323,0.000063037995,0.000057951056,0.0000741725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032321303,0.00021369776,0.00027732173,0.0004934806,0.0002256062,0.0005445529,0.00016195282,0.0002650263,0.001374046],"category_scores_gemma":[0.0008344118,0.00021190174,0.0002406789,0.00043457688,0.00033191626,0.00033718,0.00022617371,0.00021700497,0.00016228811],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008864348,0.000091906164,0.6028447,0.000187066,0.00036971612,0.00036604932,0.0005671311,0.016985182,0.36168006,0.001969207,0.0004407383,0.0136117665],"study_design_scores_gemma":[0.000004174689,0.000029538638,0.9946226,0.0000024620613,0.00002562815,0.00005272761,0.0001039089,0.0020712812,0.0023633908,0.00029307106,0.00042322418,0.000008071349],"about_ca_topic_score_codex":0.0044038557,"about_ca_topic_score_gemma":0.00587651,"teacher_disagreement_score":0.0044038557,"about_ca_system_score_codex":0.00036378475,"about_ca_system_score_gemma":0.00014829039,"threshold_uncertainty_score":0.008756459},"labels":[],"label_agreement":null},{"id":"W2066263339","doi":"10.1007/s10584-014-1090-7","title":"Integrating local hybrid knowledge and state support for climate change adaptation in the Asian Highlands","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Chinese Academy of Sciences; International Development Research Centre","keywords":"Climate change; Adaptation (eye); Coping (psychology); Climate change adaptation; Adaptive capacity; Environmental resource management; Local adaptation; Traditional knowledge; Sociology of scientific knowledge; Environmental planning; Political science; Geography; Sociology; Ecology; Economics; Psychology; Social science","score_opus":0.08384186467406791,"score_gpt":0.2825112540213723,"score_spread":0.19866938934730438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066263339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8839017,0.008375338,0.0035358288,0.008309373,0.00004378585,0.000059986563,0.00015068342,0.000033613745,0.095589645],"genre_scores_gemma":[0.99631387,0.0021788115,0.00070826337,0.00011320515,0.000006049276,0.000011537392,0.0000246438,0.0000014981977,0.0006420418],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9992125,0.0004899384,0.000064778105,0.000056005472,0.00009036365,0.00008627947],"domain_scores_gemma":[0.99747854,0.0013911219,0.00046355897,0.00012997442,0.00033734055,0.00019953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024954039,0.000121194,0.0001434522,0.0011978933,0.0011444875,0.0030060501,0.0005293132,0.00028310443,0.0024491886],"category_scores_gemma":[0.0037109037,0.00007388266,0.00017027523,0.0021738808,0.0018649003,0.0027119918,0.0022463633,0.00038640437,0.00006979179],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016531076,0.00032230347,0.22262925,0.003954935,0.0003933748,0.0035181625,0.16884673,0.0036000034,0.0033521417,0.08723678,0.003154157,0.50282687],"study_design_scores_gemma":[0.00006057457,0.00029447008,0.32358044,0.004824073,0.000828124,0.0009177799,0.4941031,0.0041176924,0.0035375233,0.05720977,0.11043671,0.000089676534],"about_ca_topic_score_codex":0.017916698,"about_ca_topic_score_gemma":0.05025947,"teacher_disagreement_score":0.017916698,"about_ca_system_score_codex":0.002508047,"about_ca_system_score_gemma":0.0055361046,"threshold_uncertainty_score":0.03562486},"labels":[],"label_agreement":null},{"id":"W2066533690","doi":"10.1007/s10584-008-9420-2","title":"The Moravian missionaries at the Labrador coast and their centuries-long contribution to instrumental meteorological observations","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Honour; Context (archaeology); Geography; History; Physical geography; Ancient history; Archaeology","score_opus":0.0701929990155859,"score_gpt":0.246617034424712,"score_spread":0.1764240354091261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066533690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98298246,0.0031499125,0.00043378037,0.0015193477,0.000101592406,0.000017455292,0.0044237287,0.000045605797,0.007326099],"genre_scores_gemma":[0.992611,0.0010389796,0.00066820486,0.000132687,0.000037691,0.000012861463,0.0021115178,0.000029232478,0.0033577238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995517,0.00010835635,0.000020911055,0.00007652441,0.000088713765,0.00015377678],"domain_scores_gemma":[0.9986583,0.0001672463,0.0003868942,0.00015551028,0.0005176715,0.00011442009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097636256,0.00033180395,0.00022635084,0.0009362627,0.0007167704,0.0007012856,0.00043760837,0.0002070351,0.0014974067],"category_scores_gemma":[0.0029800015,0.00015603978,0.00013373679,0.0015200516,0.00035933324,0.0003561416,0.0012165311,0.00048994255,0.0002530058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031696624,0.000026773256,0.9122206,0.00012978367,0.0002269933,0.00019715671,0.0040255734,0.0015634049,0.0054563303,0.0017892331,0.005431801,0.068615384],"study_design_scores_gemma":[0.0000033629535,0.000010286703,0.9858577,0.000039168583,0.0000150603755,0.000038858987,0.0008722843,0.0002449968,0.00022675836,0.00007955619,0.012604801,0.0000072069215],"about_ca_topic_score_codex":0.53860873,"about_ca_topic_score_gemma":0.7677903,"teacher_disagreement_score":0.46139127,"about_ca_system_score_codex":0.0026391363,"about_ca_system_score_gemma":0.0026300487,"threshold_uncertainty_score":0.928217},"labels":[],"label_agreement":null},{"id":"W2066968693","doi":"10.1007/s10584-008-9474-1","title":"A statistical procedure to determine recent climate change of extreme daily meteorological data as applied at two locations in Northwestern North America","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Climate change; Climatology; Environmental science; Extreme weather; Extreme value theory; Extreme Cold; Extreme heat; Period (music); Weather station; Geography; Meteorology; Mathematics; Statistics; Geology; Oceanography","score_opus":0.20047666652633764,"score_gpt":0.31247937797190684,"score_spread":0.1120027114455692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066968693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56934685,0.00008328179,0.4208693,0.00015609917,0.0001358749,0.0022180292,0.0030222673,0.0010100983,0.003158248],"genre_scores_gemma":[0.5996719,0.00006290449,0.39087445,0.00007688586,0.00008825531,0.0044325152,0.0030969703,0.0001280596,0.0015680281],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99458885,0.0027072967,0.0005714537,0.00093134266,0.0010159713,0.00018506344],"domain_scores_gemma":[0.970014,0.020769501,0.0024815958,0.0028303736,0.0034868685,0.0004177131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0121635515,0.00047139943,0.00059196865,0.00321887,0.0015476893,0.00081283855,0.0008850937,0.00045321014,0.0034168342],"category_scores_gemma":[0.03683138,0.00031415094,0.0012453799,0.0042490372,0.0011294617,0.00059741223,0.00080284366,0.0008590054,0.00030557258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016885345,0.0006909248,0.50707203,0.00041498564,0.0023951698,0.0006194034,0.0022214786,0.019691315,0.02450723,0.018194107,0.006712207,0.41579264],"study_design_scores_gemma":[0.00020211542,0.0025650517,0.8269322,0.00005499091,0.0005872411,0.0005859779,0.0015985803,0.13657643,0.011941403,0.0054087504,0.0134030795,0.00014419638],"about_ca_topic_score_codex":0.010251384,"about_ca_topic_score_gemma":0.011294387,"teacher_disagreement_score":0.0121635515,"about_ca_system_score_codex":0.0005230919,"about_ca_system_score_gemma":0.0025069294,"threshold_uncertainty_score":0.06432778},"labels":[],"label_agreement":null},{"id":"W2066991353","doi":"10.1023/b:clim.0000038205.09327.51","title":"Sink Potential of Canadian Agricultural Soils","year":2004,"lang":"en","type":"article","venue":"Climatic Change","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Greenhouse gas; Environmental science; Carbon sequestration; Agriculture; Tillage; Livestock; Sink (geography); Soil water; Carbon sink; Climate change; Carbon dioxide; Agronomy; Forestry; Geography; Soil science; Ecology","score_opus":0.03775489600892181,"score_gpt":0.21243087413311085,"score_spread":0.17467597812418903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066991353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791261,0.00078861014,0.0007887184,0.0005616915,0.000008503415,0.000014288534,0.0028803055,0.00005541286,0.015776303],"genre_scores_gemma":[0.99616665,0.000519858,0.00030162485,0.00002023719,0.0000028198306,0.000004717934,0.0007179844,0.000019433948,0.002246699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982834,0.000010731577,0.0000056362137,0.000038783983,0.00003453548,0.00008191564],"domain_scores_gemma":[0.99943095,0.00006480624,0.000033733377,0.000015760355,0.00037700645,0.00007771463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045952882,0.00036223576,0.00039072713,0.0027369733,0.0023486766,0.0014420005,0.0005591494,0.0002686321,0.002894768],"category_scores_gemma":[0.0011628795,0.00023757276,0.000282754,0.0024549249,0.000613528,0.0009005307,0.00052622973,0.00027247865,0.0001978519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012454794,0.00007232938,0.6546073,0.00055476715,0.00019996297,0.0007881478,0.003136951,0.072865196,0.07660748,0.09192084,0.00878515,0.089216426],"study_design_scores_gemma":[0.000053866508,0.00002612175,0.9203429,0.00005839586,0.0001270371,0.00026451415,0.0018007291,0.03028289,0.0045799087,0.01342959,0.02893143,0.00010261448],"about_ca_topic_score_codex":0.97467077,"about_ca_topic_score_gemma":0.9905487,"teacher_disagreement_score":0.02733454,"about_ca_system_score_codex":0.02733454,"about_ca_system_score_gemma":0.013827566,"threshold_uncertainty_score":0.19832689},"labels":[],"label_agreement":null},{"id":"W2067279282","doi":"10.1007/s10584-013-1002-2","title":"Temperature control, emission abatement and costs: key EMF 27 results from Environment Canada’s Integrated Assessment Model","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Global temperature; Control (management); Baseline (sea); Climate change; Environmental science; Global warming; Key (lock); Lead (geology); Environmental economics; Technological change; Business; Environmental resource management; Natural resource economics; Computer science; Economics; Political science; Macroeconomics","score_opus":0.062064421896365705,"score_gpt":0.2355209032197956,"score_spread":0.1734564813234299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067279282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82362306,0.002425946,0.020299302,0.006491336,0.00020033123,0.000334015,0.04788165,0.0008451862,0.097899176],"genre_scores_gemma":[0.9677124,0.0006796088,0.0042272047,0.00038604674,0.000026432022,0.00010150748,0.011797269,0.00014459106,0.014924955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991942,0.00021792956,0.000027812423,0.00011612439,0.0001719779,0.0002719569],"domain_scores_gemma":[0.99728596,0.0013908029,0.00011900077,0.0001579782,0.00084533956,0.00020088861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023227646,0.0013885768,0.0020650574,0.0010382867,0.0011185666,0.0023327721,0.002849006,0.0014558232,0.0087140445],"category_scores_gemma":[0.005363502,0.0007092908,0.002025956,0.0018368746,0.000998235,0.0015963217,0.0007813654,0.0026588042,0.0006249231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017972651,0.00013767999,0.0046349964,0.00006852085,0.00011835199,0.000047878028,0.000029060273,0.97726727,0.000099200945,0.005986295,0.0076775267,0.0037534463],"study_design_scores_gemma":[0.00023173238,0.00007753968,0.013200069,0.00005654053,0.00030920832,0.000021680535,0.00030971508,0.964642,0.0008371348,0.013820559,0.0064239763,0.00006972681],"about_ca_topic_score_codex":0.9235983,"about_ca_topic_score_gemma":0.9120692,"teacher_disagreement_score":0.07640171,"about_ca_system_score_codex":0.012849399,"about_ca_system_score_gemma":0.017942516,"threshold_uncertainty_score":0.15370327},"labels":[],"label_agreement":null},{"id":"W2068129234","doi":"10.1007/s10584-010-9896-4","title":"The role of uncertainties in the design of international water treaties: an historical perspective","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Treaty; Perspective (graphical); Portfolio; Environmental resource management; Economics; Political science; Law; Computer science","score_opus":0.05724133953384578,"score_gpt":0.30687466999539115,"score_spread":0.24963333046154537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068129234","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14457142,0.12227597,0.13292357,0.21309276,0.0029149298,0.00013231402,0.00064145087,0.00011872893,0.38332883],"genre_scores_gemma":[0.9523929,0.029865718,0.0073785093,0.004243826,0.0014071123,0.00005363563,0.000064467065,0.00006246879,0.0045313523],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9952625,0.002118944,0.00034182414,0.0007810388,0.0009813046,0.00051431864],"domain_scores_gemma":[0.9778723,0.016159263,0.0021509475,0.0007157432,0.0026890216,0.0004126612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017326908,0.00063474674,0.00057230436,0.003177997,0.0033382094,0.009670463,0.0018100085,0.0048308126,0.0036334705],"category_scores_gemma":[0.029224217,0.00062575506,0.0004198766,0.004228149,0.01765904,0.0130103035,0.0026513857,0.0068429415,0.00022123595],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000374748,0.000019597554,0.001158702,0.00013523371,0.000018760511,0.00012270885,0.0018433109,0.007819288,0.00017074645,0.9650655,0.0014611948,0.022147488],"study_design_scores_gemma":[0.000012446755,0.00006677219,0.0025750585,0.00066396553,0.000027883783,0.0001513837,0.0038287826,0.007695707,0.0011111095,0.7971324,0.18662645,0.000108030064],"about_ca_topic_score_codex":0.018504126,"about_ca_topic_score_gemma":0.018133454,"teacher_disagreement_score":0.018504126,"about_ca_system_score_codex":0.014476315,"about_ca_system_score_gemma":0.004900271,"threshold_uncertainty_score":0.10503352},"labels":[],"label_agreement":null},{"id":"W2068231299","doi":"10.1007/s10584-012-0503-8","title":"Unstable climate−growth relations for white spruce in southwest Yukon, Canada","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Precipitation; Climatology; Environmental science; Pacific decadal oscillation; Climate change; Dendroclimatology; Growing season; Moisture; Dendrochronology; Atmospheric sciences; El Niño Southern Oscillation; Geography; Ecology; Geology; Biology; Meteorology","score_opus":0.04292320725218344,"score_gpt":0.23830159511469634,"score_spread":0.1953783878625129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068231299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987986,0.000083289735,0.000030867,0.000052916585,0.0000017834618,0.0000035107478,0.00062940194,0.0000043591326,0.00039530642],"genre_scores_gemma":[0.9985833,0.00007613458,0.000049371025,0.000021607144,8.706922e-7,0.0000030599945,0.0006904537,0.000004177864,0.0005710072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997898,0.000013013531,0.0000123483605,0.00004413094,0.00002845229,0.00011226303],"domain_scores_gemma":[0.99917966,0.00006692716,0.00010071006,0.000032604472,0.0003573442,0.00026267517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033077053,0.00029511182,0.0003531023,0.00081544794,0.002189248,0.0011142981,0.0006786718,0.00041691298,0.0017442269],"category_scores_gemma":[0.0006699587,0.00018882987,0.00031886963,0.0016855788,0.000611967,0.00037078865,0.0005380535,0.00038641415,0.00019287321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016318323,0.00003728342,0.990103,0.000018970291,0.000066554945,0.0001516257,0.0018964758,0.0009220904,0.0017624008,0.00021580672,0.00063884794,0.0040237936],"study_design_scores_gemma":[0.000004834615,0.0000057881425,0.9974293,0.000004070098,0.000012010078,0.000019016907,0.0014124608,0.00052772847,0.00008767546,0.000025516207,0.0004650196,0.000006591909],"about_ca_topic_score_codex":0.99092543,"about_ca_topic_score_gemma":0.99738115,"teacher_disagreement_score":0.013554274,"about_ca_system_score_codex":0.013554274,"about_ca_system_score_gemma":0.010806754,"threshold_uncertainty_score":0.09834361},"labels":[],"label_agreement":null},{"id":"W2068639806","doi":"10.1007/s10584-013-1027-6","title":"Projections of temperature and precipitation extremes in the North Western Mediterranean Basin by dynamical downscaling of climate scenarios at high resolution (1971–2050)","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nunavut Wildlife Management Board","keywords":"Downscaling; Climatology; Environmental science; Precipitation; Climate model; Climate change; Mediterranean climate; Weather Research and Forecasting Model; Mediterranean Basin; Geography; Meteorology; Geology","score_opus":0.03912318720944119,"score_gpt":0.2551736921589334,"score_spread":0.21605050494949218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068639806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99145716,0.0003221383,0.0017686873,0.00076988386,0.000107760075,0.000014772009,0.003927709,0.00008825352,0.0015435603],"genre_scores_gemma":[0.99476695,0.00022486939,0.0019877404,0.00005470229,0.000029341547,0.000024081071,0.0025239529,0.000012002628,0.00037635452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999859,0.0000498029,0.000012299006,0.00003196911,0.00002502163,0.000021948927],"domain_scores_gemma":[0.9997187,0.00004625092,0.00006393007,0.000036379497,0.00008414308,0.00005066182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084400404,0.00045767613,0.00027130434,0.0003608385,0.00029184183,0.0004902194,0.00045571732,0.0006754713,0.0011378651],"category_scores_gemma":[0.0014783548,0.00032022013,0.00062650343,0.00056447455,0.00029640298,0.00058139773,0.00033265533,0.00045750494,0.00020871447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009949509,0.00017577392,0.08694917,0.00016867554,0.0005708781,0.00037221418,0.00017195563,0.88008386,0.004186671,0.003352074,0.006579354,0.016394427],"study_design_scores_gemma":[0.00029440285,0.0001548031,0.20514011,0.00004481446,0.00019871366,0.000113698225,0.00016301872,0.7832773,0.0017941109,0.002460541,0.0062779794,0.00008049381],"about_ca_topic_score_codex":0.06127484,"about_ca_topic_score_gemma":0.05662031,"teacher_disagreement_score":0.06127484,"about_ca_system_score_codex":0.0014173357,"about_ca_system_score_gemma":0.00096596987,"threshold_uncertainty_score":0.121836364},"labels":[],"label_agreement":null},{"id":"W2069837991","doi":"10.1007/s10584-008-9512-z","title":"Travelling and hunting in a changing Arctic: assessing Inuit vulnerability to sea ice change in Igloolik, Nunavut","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":218,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; McGill University; University of Toronto; Carleton University","funders":"","keywords":"Sea ice; Vulnerability (computing); Climate change; Geography; Psychological resilience; Cryosphere; Environmental resource management; Environmental science; Physical geography; Oceanography; Geology; Meteorology; Computer science","score_opus":0.1900538807387691,"score_gpt":0.42439777905139303,"score_spread":0.23434389831262392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069837991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995441,0.000029429753,0.00002721823,0.000025569061,0.0000016975933,0.000009044178,0.00007734926,7.280753e-7,0.0002847397],"genre_scores_gemma":[0.999138,0.00007254457,0.00015480307,0.000025239571,0.0000016583539,0.000020116331,0.00012852524,0.0000015848983,0.00045744365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996588,0.00009798561,0.000023867477,0.000047478417,0.00004186189,0.000130113],"domain_scores_gemma":[0.99942017,0.00009231495,0.00011553365,0.000018988163,0.0001329968,0.00022000738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064910343,0.0003241715,0.0002534626,0.0007678476,0.0026197336,0.0012982578,0.0011653862,0.00051255705,0.00070553063],"category_scores_gemma":[0.0013405579,0.00026939696,0.00031363498,0.0013785536,0.00071338733,0.00057743315,0.0012168451,0.000589099,0.00013694009],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075646785,0.000098503784,0.9866551,0.000016119437,0.000038722214,0.00018632611,0.01001283,0.00021779242,0.0004209288,0.00006844475,0.00011483774,0.0020947182],"study_design_scores_gemma":[0.00000328504,0.00006803929,0.9513385,0.000027049296,0.000024956746,0.00007194747,0.047303006,0.00062543486,0.0001068661,0.000039068025,0.00038276648,0.000009179656],"about_ca_topic_score_codex":0.8946053,"about_ca_topic_score_gemma":0.96389127,"teacher_disagreement_score":0.10539472,"about_ca_system_score_codex":0.004021695,"about_ca_system_score_gemma":0.0037178104,"threshold_uncertainty_score":0.21203077},"labels":[],"label_agreement":null},{"id":"W2069956178","doi":"10.1007/s10584-010-9810-0","title":"Grapevine harvest dates in Besançon (France) between 1525 and 1847: Social outcomes or climatic evidence?","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Agence Nationale de la Recherche","keywords":"Decoupling (probability); Series (stratigraphy); Documentary evidence; Climatology; Geography; History; Physical geography; Archaeology; Geology","score_opus":0.11195925872497482,"score_gpt":0.32080464482440396,"score_spread":0.20884538609942915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069956178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99711895,0.00040665586,0.000039557253,0.00010332642,0.000011618901,0.0000016273192,0.0005547354,0.0000029098853,0.0017605539],"genre_scores_gemma":[0.9984464,0.00011582101,0.000032761138,0.000023232453,0.000010285122,0.0000019356564,0.0005800934,0.0000020969235,0.00078740745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997192,0.00006687243,0.000013132106,0.00009402594,0.000034002114,0.0000728141],"domain_scores_gemma":[0.9992255,0.00019381758,0.0002914679,0.000040617037,0.0001240015,0.00012460157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005641394,0.00016151546,0.00020764876,0.0009777569,0.00056613673,0.0006713265,0.00035602023,0.00040458638,0.0023786712],"category_scores_gemma":[0.0010982868,0.00011105993,0.00016993866,0.0009793368,0.0005200092,0.0003812392,0.00043614293,0.00038480439,0.0002828864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120101984,0.00003169876,0.99035746,0.000016556261,0.00009792683,0.00017879791,0.0019549893,0.00017916711,0.00047666687,0.00028292378,0.0007286117,0.0055750646],"study_design_scores_gemma":[0.000001002088,0.00000635653,0.9987709,0.0000034200898,0.0000035226299,0.000016958329,0.00045847092,0.00002563715,0.0000146430075,0.000009881579,0.0006873789,0.0000017536444],"about_ca_topic_score_codex":0.19191036,"about_ca_topic_score_gemma":0.48585132,"teacher_disagreement_score":0.19191036,"about_ca_system_score_codex":0.0012737947,"about_ca_system_score_gemma":0.00038841975,"threshold_uncertainty_score":0.3815866},"labels":[],"label_agreement":null},{"id":"W2070486164","doi":"10.1007/s10584-011-0029-5","title":"Canary in a coal mine: perceptions of climate change risks and response options among Canadian mine operations","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Mining and Resource Management","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; McGill University","funders":"David Suzuki Foundation","keywords":"Climate change; Vulnerability (computing); Coal mining; Greenhouse gas; Environmental resource management; Work (physics); Environmental science; Environmental planning; Environmental protection; Business; Geography; Coal; Engineering; Ecology; Computer science","score_opus":0.08464616908067409,"score_gpt":0.2631685610158521,"score_spread":0.17852239193517805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070486164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99377316,0.00008483953,0.000070174516,0.0016672416,0.000011214597,0.000018376395,0.00004501932,0.0000018194244,0.0043281843],"genre_scores_gemma":[0.9973525,0.00012895711,0.000093112336,0.00032274547,0.0000033461943,0.0000067305778,0.000031979052,0.00000263837,0.002058046],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99809617,0.0002515891,0.000055574874,0.000100284364,0.0005735736,0.00092274504],"domain_scores_gemma":[0.99455464,0.00066619786,0.0007210921,0.000071011615,0.0016115523,0.0023754742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021000167,0.00027438664,0.0002343243,0.0009718821,0.011840991,0.0035880867,0.0012361212,0.0012530736,0.004480181],"category_scores_gemma":[0.0042326646,0.0003196866,0.00041025382,0.0013736672,0.0032243042,0.0011752034,0.0017908657,0.002313699,0.00019263904],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006585585,0.00065627135,0.515122,0.00009582395,0.00008543371,0.0009634479,0.4420281,0.00086218776,0.0033439242,0.003076711,0.0071079093,0.02599964],"study_design_scores_gemma":[0.0000141173805,0.00012765192,0.28656664,0.000060110866,0.00001952549,0.000105618856,0.699483,0.00072256004,0.0002442462,0.00028965162,0.012301733,0.00006504613],"about_ca_topic_score_codex":0.9730723,"about_ca_topic_score_gemma":0.9922146,"teacher_disagreement_score":0.033301286,"about_ca_system_score_codex":0.033301286,"about_ca_system_score_gemma":0.032907266,"threshold_uncertainty_score":0.24161887},"labels":[],"label_agreement":null},{"id":"W2072081056","doi":"10.1007/s10584-014-1085-4","title":"Climate change drives coherent trends in physics and oxygen content in North American lakes","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Ministry of the Environment, Conservation and Parks","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Federation of Anglers and Hunters","keywords":"Climate change; Epilimnion; Hypolimnion; Environmental science; Water column; Thermocline; Global warming; Hydrology (agriculture); Oceanography; Physical geography; Climatology; Ecology; Geology; Geography; Eutrophication; Nutrient","score_opus":0.04978563398356292,"score_gpt":0.24925691772603117,"score_spread":0.19947128374246825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072081056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99923706,0.000043645643,0.000066719294,0.00013758284,0.000003848705,0.0000015034364,0.00008038372,0.000004752965,0.0004245084],"genre_scores_gemma":[0.9997241,0.00003192501,0.000035393517,0.000021969545,0.000006351193,0.000001889085,0.00006961302,0.000002104454,0.000106672655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991465,0.000016030473,0.0000068982376,0.000026810838,0.000017603312,0.00001792553],"domain_scores_gemma":[0.9995377,0.00011409569,0.00014299892,0.000034011184,0.00010717991,0.00006398565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026844675,0.00009301581,0.00016558944,0.0005078236,0.0007088712,0.0007290206,0.00020259367,0.0003927179,0.0012134486],"category_scores_gemma":[0.001154279,0.0002540641,0.00020807606,0.00059740373,0.00055845815,0.0006453792,0.0006627994,0.00025151463,0.00008855835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001699971,0.000112142094,0.9735041,0.000030136383,0.0001691234,0.00007259091,0.00096582307,0.0028410966,0.014145648,0.000638815,0.0006469137,0.006703729],"study_design_scores_gemma":[0.000003086511,0.0000060821503,0.99800473,0.0000011624194,0.000011641707,0.0000047847184,0.0001546412,0.0013697785,0.00014430306,0.00013691712,0.00015961213,0.0000031297452],"about_ca_topic_score_codex":0.040888358,"about_ca_topic_score_gemma":0.085584186,"teacher_disagreement_score":0.040888358,"about_ca_system_score_codex":0.0008238943,"about_ca_system_score_gemma":0.0006213866,"threshold_uncertainty_score":0.081300735},"labels":[],"label_agreement":null},{"id":"W2072344164","doi":"10.1007/s10584-010-9884-8","title":"Malnutrition and conflict in East Africa: the impacts of resource variability on human security","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Malnutrition; Geography; Food security; Ecosystem; Vegetation (pathology); Productivity; Climate change; Ecosystem services; Resource (disambiguation); Natural resource economics; Environmental resource management; Ecology; Agriculture; Environmental science; Economic growth; Economics; Biology","score_opus":0.09116695298828381,"score_gpt":0.3308291710887902,"score_spread":0.23966221810050636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072344164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889825,0.0026190346,0.00010414958,0.005007912,0.000021368589,0.00000406767,0.00008582812,0.0000013299774,0.003173844],"genre_scores_gemma":[0.99861026,0.0011446784,0.000025102265,0.00006162605,0.000017689106,0.0000020185425,0.0000119860115,6.6162085e-7,0.00012577588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993482,0.00035781495,0.000020394176,0.00003588945,0.000029758792,0.00020787977],"domain_scores_gemma":[0.9985487,0.0006205367,0.00045284798,0.000034041295,0.00009181881,0.0002521539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010320634,0.00029799028,0.00024952213,0.00104151,0.0013066231,0.0022383023,0.0003246119,0.0008061896,0.003826964],"category_scores_gemma":[0.003668334,0.00021768303,0.0002683495,0.0019750944,0.0021461525,0.002193453,0.0015722892,0.0009961615,0.0000990705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006306013,0.0003343134,0.9013126,0.00024351524,0.00034648573,0.002658646,0.011945997,0.005112588,0.0012002254,0.030410819,0.002138903,0.043665357],"study_design_scores_gemma":[0.000025063453,0.00014646407,0.9382288,0.00019519727,0.00010753603,0.00067414663,0.033666864,0.003999819,0.00028075825,0.016638884,0.005993884,0.000042534466],"about_ca_topic_score_codex":0.03189431,"about_ca_topic_score_gemma":0.046012726,"teacher_disagreement_score":0.03189431,"about_ca_system_score_codex":0.0020764116,"about_ca_system_score_gemma":0.0016545549,"threshold_uncertainty_score":0.063417375},"labels":[],"label_agreement":null},{"id":"W2074176559","doi":"10.1007/s10584-013-1038-3","title":"Changing sea ice conditions and marine transportation activity in Canadian Arctic waters between 1990 and 2012","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":186,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Ottawa","funders":"Goddard Space Flight Center","keywords":"Sea ice; Arctic; Environmental science; Arctic ice pack; Oceanography; Arctic sea ice decline; Physical geography; Climatology; Geography; Drift ice; Geology","score_opus":0.02044035229420873,"score_gpt":0.22119657682017807,"score_spread":0.20075622452596933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074176559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683309,0.0028967578,0.00011991879,0.0013807459,0.00009990355,0.000016290867,0.023889583,0.000023700903,0.0032423465],"genre_scores_gemma":[0.98514867,0.0015682643,0.00016038372,0.00021435428,0.000038143622,0.000011724879,0.010431896,0.000007641335,0.002418854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994717,0.000020812951,0.00005673957,0.00009377908,0.000112615955,0.00024434042],"domain_scores_gemma":[0.9981927,0.00007353811,0.00043655382,0.000043308402,0.0009224313,0.0003313828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067169603,0.00043007836,0.00040348733,0.0022693737,0.0017812101,0.0017447377,0.0010693148,0.0010719029,0.0018533946],"category_scores_gemma":[0.002212047,0.0003430363,0.0010700919,0.0068396763,0.0007321712,0.0008445483,0.0009326142,0.0009626178,0.00025959968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021827428,0.000028733903,0.9894889,0.00008106142,0.0001574906,0.00010144841,0.00064653595,0.0006307891,0.00020193598,0.0001655095,0.0028668335,0.005412507],"study_design_scores_gemma":[0.0000023438647,0.0000042673128,0.9965609,0.000021871374,0.000026821555,0.000021967846,0.00059542863,0.00021180732,0.00005046265,0.000011496719,0.0024848136,0.000007868222],"about_ca_topic_score_codex":0.994099,"about_ca_topic_score_gemma":0.99784195,"teacher_disagreement_score":0.020338837,"about_ca_system_score_codex":0.020338837,"about_ca_system_score_gemma":0.025357654,"threshold_uncertainty_score":0.14756924},"labels":[],"label_agreement":null},{"id":"W2076784497","doi":"10.1007/s10584-005-5941-0","title":"Assessing the Consequences of Climate Change for Food and forest Resources: A View from the IPCC","year":2005,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":129,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Climate change; Agriculture; Environmental resource management; Adaptation (eye); Natural resource economics; Environmental planning; Environmental science; Geography; Economics; Ecology; Psychology","score_opus":0.3114601126503227,"score_gpt":0.32398392713201174,"score_spread":0.012523814481689044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076784497","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18968375,0.10115941,0.09400222,0.49543685,0.0051907613,0.000088431734,0.0033266111,0.00016704653,0.11094498],"genre_scores_gemma":[0.9351373,0.045544658,0.008656486,0.0059853625,0.002471458,0.000044883644,0.00037724036,0.000036130914,0.0017463882],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977335,0.0012723211,0.00006639646,0.00019562931,0.0005751242,0.00015705622],"domain_scores_gemma":[0.99582374,0.0025288074,0.00045960204,0.00019941472,0.0007012698,0.0002872147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005149378,0.0013486095,0.00090960227,0.002576527,0.00095395837,0.005467483,0.0014423982,0.004297751,0.0015586651],"category_scores_gemma":[0.013966181,0.00037262295,0.00080067315,0.004005008,0.004204733,0.007253738,0.001996004,0.004761803,0.00014662046],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000206195,0.00012228225,0.018138418,0.00044119047,0.0006038589,0.00041607887,0.0004162343,0.19172746,0.0006937628,0.69570225,0.019228656,0.07230359],"study_design_scores_gemma":[0.0000156706,0.000030716823,0.005717539,0.00021142724,0.00011808789,0.0000709988,0.0004089636,0.01987104,0.00044313227,0.95666075,0.016407613,0.000044042554],"about_ca_topic_score_codex":0.0187037,"about_ca_topic_score_gemma":0.015781457,"teacher_disagreement_score":0.0187037,"about_ca_system_score_codex":0.004207373,"about_ca_system_score_gemma":0.0029345625,"threshold_uncertainty_score":0.037189662},"labels":[],"label_agreement":null},{"id":"W2077762465","doi":"10.1007/s10584-011-0236-0","title":"Interacting effects of vegetation, soils and management on the sensitivity of Australian savanna rangelands to climate change","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Rangeland; Environmental science; Climate change; Forage; Land use; Vegetation (pathology); Land use, land-use change and forestry; Agroforestry; Ecology; Biology","score_opus":0.042852532461345655,"score_gpt":0.2432119456937175,"score_spread":0.20035941323237186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077762465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994837,0.00007812677,0.00003600066,0.000053536773,0.0000013604308,0.0000013216378,0.000021848502,0.0000015978175,0.000322373],"genre_scores_gemma":[0.9997558,0.00005069961,0.000032528646,0.00001516776,0.000001713344,0.0000019208792,0.000020938334,0.0000015592589,0.000119681325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991635,0.00048769295,0.00003719158,0.000081199956,0.00007704482,0.00015336665],"domain_scores_gemma":[0.9979802,0.0010733067,0.0002875201,0.00011342974,0.00020766667,0.00033779454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105535,0.00021403035,0.00044718388,0.0007425121,0.0007552156,0.0012250335,0.00041172147,0.0005842263,0.001766844],"category_scores_gemma":[0.002791431,0.00039123534,0.0005046057,0.0008020236,0.001303582,0.000564318,0.0013283968,0.00048012965,0.00011815399],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011084198,0.00024917175,0.9374432,0.0001450819,0.0008827538,0.00081633206,0.0024893018,0.008778821,0.034834567,0.0010110412,0.0004139906,0.011827392],"study_design_scores_gemma":[0.0000028654467,0.0000411962,0.99770784,0.00000220212,0.00003747746,0.00003852368,0.00038969947,0.0013155261,0.00017477197,0.00013608932,0.00014727315,0.0000064117103],"about_ca_topic_score_codex":0.04441103,"about_ca_topic_score_gemma":0.13026437,"teacher_disagreement_score":0.04441103,"about_ca_system_score_codex":0.0014369696,"about_ca_system_score_gemma":0.00065836665,"threshold_uncertainty_score":0.088305056},"labels":[],"label_agreement":null},{"id":"W2077863844","doi":"10.1007/s10584-012-0690-3","title":"The influence of national temperature fluctuations on opinions about climate change in the U.S. since 1990","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Public opinion; Worry; Newspaper; Political science; Scale (ratio); Ideology; Politics; Geography; Psychology; Law; Ecology","score_opus":0.31625027945467,"score_gpt":0.44301539651911154,"score_spread":0.12676511706444155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077863844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99111396,0.00058036286,0.000048054775,0.0034168113,0.00005365158,0.0000021975945,0.00027135407,0.0000020488699,0.004511712],"genre_scores_gemma":[0.9992434,0.00024390632,0.000012768119,0.00015076903,0.000026746146,0.0000010196834,0.00012298429,0.0000010728056,0.00019731256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994118,0.00026458537,0.00003887816,0.00006907462,0.00010047806,0.00011528339],"domain_scores_gemma":[0.993468,0.0023136353,0.0023632084,0.00015963746,0.0010602146,0.00063536747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011009423,0.000116576346,0.00013727607,0.0004576969,0.0005683703,0.00096795056,0.00023969257,0.0005610307,0.0023268613],"category_scores_gemma":[0.0074274833,0.00009818822,0.00020961312,0.0008921743,0.0006495601,0.00059415423,0.000712052,0.0011263286,0.00018639417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025065165,0.00009531918,0.9703249,0.000041373794,0.00012812072,0.0001048998,0.006372606,0.0004993453,0.00028558838,0.0007106522,0.0037781692,0.017408308],"study_design_scores_gemma":[0.0000025777115,0.000025353009,0.993753,0.000019721121,0.000019389745,0.000022247546,0.0043376065,0.0002775386,0.00004582972,0.00014661455,0.0013447354,0.0000055387077],"about_ca_topic_score_codex":0.09624061,"about_ca_topic_score_gemma":0.23154296,"teacher_disagreement_score":0.09624061,"about_ca_system_score_codex":0.0011687401,"about_ca_system_score_gemma":0.0006479631,"threshold_uncertainty_score":0.19136083},"labels":[],"label_agreement":null},{"id":"W2078146632","doi":"10.1007/s10584-008-9439-4","title":"Snow avalanche regime and climatic conditions in the Chic-Choc Range, eastern Canada","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski; Université Laval; Center for Northern Studies; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snowpack; Snow; Climatology; Debris; Environmental science; Dendrochronology; Atmospheric sciences; Snow cover; Physical geography; Range (aeronautics); Geology; Meteorology; Geography","score_opus":0.0294080795414825,"score_gpt":0.22848992071433474,"score_spread":0.19908184117285224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078146632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984774,0.00012844651,0.00001854677,0.000046147612,0.0000022008005,0.0000059495896,0.0004081216,0.0000030355843,0.00091022125],"genre_scores_gemma":[0.9987208,0.00011315455,0.00003223542,0.000022134933,0.0000013038958,0.0000032109854,0.00034321073,0.000002263651,0.0007616366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975055,0.000019004585,0.0000138380165,0.000041346975,0.00004573194,0.00012949939],"domain_scores_gemma":[0.9992292,0.00006296177,0.00009174926,0.000020813857,0.00033165095,0.00026370803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024364784,0.00014855717,0.00024249371,0.0011356026,0.0024180007,0.0011142928,0.0006552759,0.00027103545,0.0016998596],"category_scores_gemma":[0.00069285755,0.00022200258,0.00025526134,0.0023856836,0.00082559214,0.0003004158,0.00046113133,0.0003755707,0.00017782938],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001178829,0.00004526481,0.9931378,0.000014679182,0.000045870413,0.00017630524,0.0014401956,0.0001884094,0.0008312862,0.00012703174,0.00044501782,0.0034301074],"study_design_scores_gemma":[0.0000051178863,0.000010392249,0.9968491,0.000007518524,0.0000113756405,0.00004779536,0.0022692992,0.0001835277,0.00005320808,0.000015140892,0.00054196495,0.0000055429764],"about_ca_topic_score_codex":0.9946319,"about_ca_topic_score_gemma":0.9986739,"teacher_disagreement_score":0.011741623,"about_ca_system_score_codex":0.011741623,"about_ca_system_score_gemma":0.012633999,"threshold_uncertainty_score":0.085191846},"labels":[],"label_agreement":null},{"id":"W2078165984","doi":"10.1007/s10584-008-9493-y","title":"Potential impact of climate change on carbon in agricultural soils in Canada 2000–2099","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Climate change; Soil water; Precipitation; Soil carbon; Agriculture; Climatology; Arid; Greenhouse gas; Global warming; Spring (device); Climate model; Geography; Meteorology; Ecology; Soil science","score_opus":0.0363368510007046,"score_gpt":0.22950788640443023,"score_spread":0.19317103540372563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078165984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98197603,0.0017475279,0.00022801942,0.0040629343,0.00007058547,0.0000197642,0.004751696,0.00003157747,0.007111836],"genre_scores_gemma":[0.9960109,0.0007037275,0.00017188002,0.00024400624,0.000012817718,0.0000050663807,0.00095901906,0.000006121943,0.001886437],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997002,0.000019478533,0.000012578433,0.00003223363,0.00007633962,0.00015907144],"domain_scores_gemma":[0.9988263,0.00006934361,0.00009268578,0.000017983424,0.00075827964,0.00023549626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046451026,0.00030795232,0.00035865628,0.0011856875,0.002722919,0.0019120232,0.000748931,0.0008219531,0.0024649855],"category_scores_gemma":[0.0011097103,0.00023539018,0.0005601459,0.0021047757,0.0008886669,0.00053014077,0.0006963876,0.00064547424,0.00014012386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096056715,0.00013331085,0.93922853,0.00022572897,0.00043087563,0.0012512587,0.00096051773,0.013365312,0.005376949,0.00447273,0.009010996,0.02458319],"study_design_scores_gemma":[0.00003335904,0.000017580724,0.9829936,0.000031993022,0.00006521897,0.00009125522,0.0010812643,0.0058321995,0.00059912173,0.00037238648,0.008853183,0.000028866347],"about_ca_topic_score_codex":0.9955972,"about_ca_topic_score_gemma":0.997783,"teacher_disagreement_score":0.046325468,"about_ca_system_score_codex":0.046325468,"about_ca_system_score_gemma":0.046457738,"threshold_uncertainty_score":0.33611637},"labels":[],"label_agreement":null},{"id":"W2079839135","doi":"10.1007/s10584-012-0403-y","title":"Shifting public opinion on climate change: an empirical assessment of factors influencing concern over climate change in the U.S., 2002–2010","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":1126,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Public opinion; Climate change; Elite; Political science; Extreme weather; Construct (python library); Politics; Empirical research; Law","score_opus":0.747351180380526,"score_gpt":0.55102185073971,"score_spread":0.19632932964081595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079839135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99668366,0.00014983368,0.00004951457,0.0013983079,0.000013642309,0.000004117191,0.00022515253,0.0000015704948,0.0014741227],"genre_scores_gemma":[0.9992884,0.00015586875,0.00002037054,0.00014100946,0.000017050801,0.0000055336,0.00022511341,0.0000010289256,0.00014572221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994199,0.00022450433,0.000047521327,0.00008750252,0.00012391899,0.0000966376],"domain_scores_gemma":[0.98962384,0.0038360953,0.003984319,0.0003732358,0.0015054799,0.0006771059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001687231,0.00015705901,0.00012865958,0.0009509125,0.00067059905,0.0008810456,0.00040411204,0.00084478926,0.0018843091],"category_scores_gemma":[0.008343551,0.00015807345,0.0002922386,0.0018437542,0.0008582416,0.0010222703,0.00097192335,0.0014211127,0.0001852459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011727472,0.000172289,0.9809481,0.000029018423,0.00007123777,0.00007009589,0.007397924,0.000309609,0.00015592277,0.00031582688,0.0019540188,0.008458691],"study_design_scores_gemma":[0.0000037758107,0.000030107161,0.9900545,0.000016882517,0.0000174638,0.00002189213,0.008367019,0.0004534418,0.000045359124,0.00010192536,0.0008821498,0.0000054791476],"about_ca_topic_score_codex":0.09282121,"about_ca_topic_score_gemma":0.16384281,"teacher_disagreement_score":0.09282121,"about_ca_system_score_codex":0.0015954123,"about_ca_system_score_gemma":0.0010564724,"threshold_uncertainty_score":0.18456185},"labels":[],"label_agreement":null},{"id":"W2081006869","doi":"10.1007/s10584-006-9138-y","title":"A Ricardian analysis of US and Canadian farmland","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Privy Council Office","funders":"","keywords":"Agriculture; Precipitation; Climate change; Economics; Agricultural economics; Environmental science; Natural resource economics; Geography; Ecology; Biology; Meteorology","score_opus":0.14909203540952162,"score_gpt":0.27128447651285265,"score_spread":0.12219244110333102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081006869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9391249,0.0044739107,0.0028528906,0.00285509,0.00004121548,0.000040850613,0.0056115384,0.00011857234,0.044881184],"genre_scores_gemma":[0.9778772,0.0018062927,0.001242783,0.00021315555,0.000032860025,0.000012639296,0.0036297126,0.00006833528,0.015117033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99952745,0.00004835454,0.000009285036,0.00007471008,0.00012468583,0.00021560179],"domain_scores_gemma":[0.9988689,0.00023473515,0.00011476795,0.00007607882,0.0005939522,0.00011156604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009989961,0.00038190835,0.0006195767,0.0017296408,0.0014949853,0.0020334406,0.0011242223,0.00068003434,0.0074903406],"category_scores_gemma":[0.0031322662,0.00032654346,0.0010176058,0.0041001085,0.0007885916,0.0009159646,0.0005250473,0.0009854152,0.00038275684],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056861766,0.00024055067,0.24338704,0.0002506753,0.0007676167,0.0010034713,0.0023625812,0.31843016,0.0020808785,0.29057425,0.07189741,0.0684368],"study_design_scores_gemma":[0.0000643176,0.00005053409,0.6629046,0.00009953008,0.00044352983,0.00018536998,0.0032336519,0.25225446,0.0006912417,0.019753117,0.060189728,0.00012987645],"about_ca_topic_score_codex":0.98370785,"about_ca_topic_score_gemma":0.98876905,"teacher_disagreement_score":0.023370156,"about_ca_system_score_codex":0.023370156,"about_ca_system_score_gemma":0.009947792,"threshold_uncertainty_score":0.16956311},"labels":[],"label_agreement":null},{"id":"W2081522450","doi":"10.1007/s10584-007-9373-x","title":"Using portfolio theory to guide reforestation and restoration under climate change scenarios","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":161,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Natural Resources Limited","keywords":"Reforestation; Climate change; Modern portfolio theory; Portfolio; Asset (computer security); Adaptation (eye); Futures contract; Environmental resource management; Computer science; Set (abstract data type); Risk analysis (engineering); Environmental science; Economics; Business; Ecology; Agroforestry","score_opus":0.12137010260538583,"score_gpt":0.32036599809302535,"score_spread":0.19899589548763952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081522450","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08611593,0.0004207039,0.8899346,0.00297342,0.00015780174,0.00017099937,0.00027768273,0.00044892673,0.019499952],"genre_scores_gemma":[0.8167257,0.00043641584,0.17761332,0.0003409949,0.00009179391,0.00017708712,0.0002795121,0.00010952386,0.0042256517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990746,0.0005365245,0.000042656855,0.00010252961,0.00016269213,0.00008102186],"domain_scores_gemma":[0.9954034,0.0034079363,0.0002745923,0.00015935619,0.000556726,0.00019799317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046272334,0.0005742539,0.0008437917,0.0013912779,0.0004913634,0.0020675776,0.001115248,0.0014930882,0.0052136667],"category_scores_gemma":[0.01620104,0.00043677553,0.00042836953,0.000782263,0.0007496868,0.0028541188,0.0011762085,0.001451932,0.0003705623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004921359,0.000083033716,0.0031694076,0.0000463823,0.0000735443,0.000111406356,0.00009728552,0.85378337,0.0001837674,0.087836646,0.003363089,0.051202793],"study_design_scores_gemma":[0.000012291753,0.000016118975,0.0002715798,0.000013975857,0.000009811183,0.000014495303,0.000041335275,0.90197295,0.00011627664,0.09663306,0.0008916724,0.0000064990054],"about_ca_topic_score_codex":0.004872515,"about_ca_topic_score_gemma":0.0068605645,"teacher_disagreement_score":0.0052136667,"about_ca_system_score_codex":0.0016798025,"about_ca_system_score_gemma":0.0016868559,"threshold_uncertainty_score":0.024471402},"labels":[],"label_agreement":null},{"id":"W2084428836","doi":"10.1007/s10584-007-9309-5","title":"Modelling geomorphic response to climatic change","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Subsidence; Environmental science; Physical geography; Geology; Climate change; Arctic; Permafrost; Atmospheric sciences; Climatology; Hydrology (agriculture); Geomorphology; Oceanography; Geography; Structural basin","score_opus":0.20373058903855273,"score_gpt":0.29821815317061146,"score_spread":0.09448756413205872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084428836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9721265,0.00026002276,0.01786998,0.0008341438,0.000108907865,0.0000409888,0.0011995563,0.00032839252,0.0072314707],"genre_scores_gemma":[0.9943784,0.00013820617,0.0034296936,0.000041908643,0.000024419534,0.000026625064,0.00030283397,0.00005451456,0.0016034124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998368,0.00005764699,0.0000130722465,0.000042288455,0.00001695389,0.000033226854],"domain_scores_gemma":[0.9992243,0.0004556422,0.00008501277,0.00007243703,0.00006816008,0.00009439015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053407426,0.00047875752,0.0006754224,0.0006230504,0.0005695546,0.0012518413,0.0014525544,0.0026050147,0.003661725],"category_scores_gemma":[0.0025268015,0.0006572524,0.0009710565,0.0009716678,0.00081334374,0.001131379,0.0005782838,0.00088768563,0.0003171917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014010625,0.00001496133,0.0025125274,0.00000883452,0.000023329794,0.000021863812,0.000015836651,0.99579644,0.00023334526,0.0005770656,0.00008961529,0.0006922286],"study_design_scores_gemma":[0.00001711151,0.000009042148,0.0015993504,0.0000019952977,0.000012918958,0.00000809819,0.000020580963,0.9971501,0.000112075155,0.0007719334,0.00028901876,0.000007713873],"about_ca_topic_score_codex":0.09707096,"about_ca_topic_score_gemma":0.0686498,"teacher_disagreement_score":0.09707096,"about_ca_system_score_codex":0.0019984392,"about_ca_system_score_gemma":0.0014527327,"threshold_uncertainty_score":0.19301188},"labels":[],"label_agreement":null},{"id":"W2084571644","doi":"10.1007/s10584-007-9322-8","title":"Climate change and soil freezing dynamics: historical trends and projected changes","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":443,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snowpack; Environmental science; Precipitation; Snow; Climate change; Temperate climate; Atmospheric sciences; Ecosystem; Climatology; Ecology; Geology; Biology; Geography; Meteorology","score_opus":0.09210402529573074,"score_gpt":0.26558175433200487,"score_spread":0.17347772903627412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084571644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868635,0.0050078663,0.0007374504,0.0005107685,0.000051117782,0.000008410052,0.003937963,0.000037277998,0.0028457274],"genre_scores_gemma":[0.9951414,0.0027998746,0.00026395047,0.000029422881,0.000049934726,0.0000041454887,0.0012462793,0.0000042487563,0.00046060412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989724,0.000018838893,0.000011952868,0.000023640083,0.000022934333,0.000025463098],"domain_scores_gemma":[0.999532,0.00006984394,0.00020422519,0.00001838728,0.00012489501,0.0000506712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004507629,0.00023090267,0.00017024633,0.0010620336,0.00031565953,0.00071597507,0.00022131129,0.00027290737,0.0025792832],"category_scores_gemma":[0.00078245095,0.00011269169,0.00028065988,0.002103379,0.00030602972,0.0009178887,0.00028691423,0.00029443286,0.0002468346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002739708,0.000054419623,0.95860934,0.00016400237,0.00017131628,0.000081618775,0.0004559681,0.0019953537,0.0008703548,0.00073428877,0.0011904937,0.035398837],"study_design_scores_gemma":[0.0000063581538,0.000078094425,0.99297637,0.000025169418,0.00007657795,0.0001833392,0.00039720297,0.0017664185,0.00044163535,0.0004058959,0.0036360584,0.0000068094937],"about_ca_topic_score_codex":0.016875044,"about_ca_topic_score_gemma":0.034132525,"teacher_disagreement_score":0.016875044,"about_ca_system_score_codex":0.000645095,"about_ca_system_score_gemma":0.00038283787,"threshold_uncertainty_score":0.0335536},"labels":[],"label_agreement":null},{"id":"W2085123049","doi":"10.1007/s10584-011-0221-7","title":"Potential impact of climate change on the water availability of South Saskatchewan River Basin","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"U.S. Department of Energy","keywords":"Climate change; Environmental science; HadCM3; Surface runoff; Precipitation; Streamflow; Climate model; Climatology; Hydrology (agriculture); Drainage basin; Global warming; Structural basin; Water resources; General Circulation Model; Geology; Geography; Meteorology; GCM transcription factors; Oceanography","score_opus":0.050325580167541774,"score_gpt":0.2400330433403152,"score_spread":0.18970746317277343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085123049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947331,0.00016893193,0.000060837778,0.0011409423,0.0000138565865,0.000006360194,0.00075339834,0.0000044955514,0.0031180729],"genre_scores_gemma":[0.99860066,0.00021839433,0.000056180437,0.00014491688,0.0000057256457,0.000006616628,0.00023163816,0.0000028499423,0.0007330281],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956554,0.00015311745,0.000025453413,0.000052612744,0.0000610634,0.00014219173],"domain_scores_gemma":[0.9986822,0.0003889836,0.00018333484,0.00007269892,0.00040787354,0.00026486284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008210591,0.00021246515,0.00021571729,0.0008332442,0.0012083914,0.001656734,0.0005966733,0.00057374645,0.0031459988],"category_scores_gemma":[0.0017305803,0.00022670656,0.00038215634,0.0018619434,0.0010509439,0.00081526843,0.0011434044,0.0006338562,0.00017412842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024406021,0.00010527986,0.9716196,0.00007669975,0.00026146552,0.00070552086,0.000962095,0.0062488467,0.003473661,0.0015302362,0.0018892047,0.012883294],"study_design_scores_gemma":[0.00000796975,0.000015604253,0.99464464,0.00001911851,0.00003545885,0.000037908914,0.0017732427,0.0016987694,0.0002971103,0.0002810763,0.0011749145,0.000014186306],"about_ca_topic_score_codex":0.7331485,"about_ca_topic_score_gemma":0.9196323,"teacher_disagreement_score":0.26685148,"about_ca_system_score_codex":0.00947136,"about_ca_system_score_gemma":0.011132192,"threshold_uncertainty_score":0.53684604},"labels":[],"label_agreement":null},{"id":"W2086933666","doi":"10.1007/s10584-013-0695-6","title":"Projecting impacts of climate change on surface water temperatures of a large subalpine lake: Lake Tahoe, USA","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Toronto","funders":"Canadian Forest Service; University of California, Santa Cruz; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; National Oceanic and Atmospheric Administration; University of Nevada, Reno; National Center for Atmospheric Research","keywords":"Environmental science; Littoral zone; Climate change; Lake ecosystem; Limnetic zone; Ecosystem; Climate model; Surface water; Air temperature; Physical geography; Hydrology (agriculture); Atmospheric sciences; Climatology; Ecology; Geography; Geology","score_opus":0.028545983390706065,"score_gpt":0.2647409125840746,"score_spread":0.23619492919336854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086933666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99905187,0.00001515283,0.00008494778,0.00008706482,0.00000275235,0.000005083895,0.00029464182,0.000009896517,0.00044866354],"genre_scores_gemma":[0.9992286,0.000045659268,0.0001865845,0.000011292304,0.000003353931,0.000009086125,0.00029576189,0.0000022878476,0.00021733786],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999907,0.000021504973,0.0000052698947,0.000018112769,0.000020663467,0.000027479271],"domain_scores_gemma":[0.9997551,0.000033825963,0.000047415608,0.00001196296,0.00006800806,0.00008360039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002362804,0.00031722107,0.00018516571,0.00047293285,0.00054537796,0.00068830524,0.00053409766,0.00052413304,0.0010024719],"category_scores_gemma":[0.0008776338,0.00023089473,0.00041078372,0.0009330657,0.000298202,0.00057107507,0.0007119998,0.0003794643,0.00011120098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046164414,0.0004254577,0.90501,0.0000841277,0.00035518364,0.0010233499,0.0013487713,0.06706283,0.005229981,0.0009937483,0.0028938004,0.0151111195],"study_design_scores_gemma":[0.00007035876,0.00012784798,0.87228185,0.000021296377,0.00014936499,0.00009914806,0.0020580755,0.12249164,0.0008079872,0.0002997432,0.0015627192,0.000030026977],"about_ca_topic_score_codex":0.44172683,"about_ca_topic_score_gemma":0.6203352,"teacher_disagreement_score":0.44172683,"about_ca_system_score_codex":0.0024986858,"about_ca_system_score_gemma":0.002328601,"threshold_uncertainty_score":0.8783114},"labels":[],"label_agreement":null},{"id":"W2087148811","doi":"10.1007/s10584-012-0670-7","title":"Influences of local weather, large-scale climatic drivers, and the ca. 11 year solar cycle on lake ice breakup dates; 1905–2004","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Breakup; Climatology; Snow; Environmental science; North Atlantic oscillation; Climate change; El Niño Southern Oscillation; Little ice age; Atmospheric sciences; Physical geography; Geography; Meteorology; Geology; Oceanography","score_opus":0.011353706566888463,"score_gpt":0.20655796572387677,"score_spread":0.1952042591569883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087148811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995236,0.0006346597,0.00009515108,0.00029439278,0.00001618992,0.0000029998478,0.0019687572,0.000013506328,0.0017384555],"genre_scores_gemma":[0.9979796,0.00014731102,0.000036672034,0.000023250355,0.000012412978,0.000002744675,0.0012083714,0.0000051553534,0.00058457203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999027,0.000018160568,0.000009129703,0.000025227737,0.00000906461,0.00003562397],"domain_scores_gemma":[0.9994466,0.000097044605,0.00022120758,0.000026574478,0.000087781256,0.00012072444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040245894,0.00014013948,0.00016534583,0.00062170887,0.00035128053,0.0008107098,0.00026988826,0.000222557,0.00329925],"category_scores_gemma":[0.00095699483,0.00013061016,0.00026062317,0.00088879187,0.00042472687,0.00048013337,0.00060733827,0.00037542466,0.00022663936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017012483,0.00002430382,0.99106324,0.000044767774,0.00012489952,0.000054112166,0.0004355914,0.0010282998,0.00048634948,0.00052168133,0.0013002788,0.0047463086],"study_design_scores_gemma":[0.000002489834,0.0000058301866,0.9983222,0.0000068337654,0.000018867067,0.000013608062,0.00013888007,0.00028676842,0.000052182844,0.000022568327,0.0011274687,0.0000022664663],"about_ca_topic_score_codex":0.17120247,"about_ca_topic_score_gemma":0.3874247,"teacher_disagreement_score":0.17120247,"about_ca_system_score_codex":0.0014294309,"about_ca_system_score_gemma":0.0008517007,"threshold_uncertainty_score":0.34041196},"labels":[],"label_agreement":null},{"id":"W2087262220","doi":"10.1007/s10584-008-9536-4","title":"Three centuries of change in the Peace–Athabasca Delta, Canada","year":2009,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Delta; Snow; Ecosystem; Physical geography; Environmental science; Climate change; Vegetation (pathology); Ecology; Geography; Hydrology (agriculture); Geology","score_opus":0.10904405795004359,"score_gpt":0.2639457744090026,"score_spread":0.154901716458959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087262220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851365,0.0019733151,0.00009639451,0.0028213502,0.000068344685,0.000020919826,0.0022891117,0.00001351425,0.0075804107],"genre_scores_gemma":[0.99339324,0.0008444767,0.000102470774,0.00019253955,0.000011530348,0.000007868078,0.00071291975,0.000007866479,0.004727141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959964,0.000026475258,0.000015345413,0.000043871718,0.00009281702,0.00022188528],"domain_scores_gemma":[0.99899775,0.00006360754,0.000105593885,0.000031541036,0.00055479835,0.00024663206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036509056,0.0001945759,0.00036056648,0.0017384794,0.0054164375,0.0017449387,0.0009157787,0.0006405697,0.0032439446],"category_scores_gemma":[0.0014040398,0.00019177677,0.00029849127,0.003313112,0.0014955977,0.00069298333,0.0015058876,0.0008951089,0.00017431448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000705625,0.00014965495,0.8685751,0.00029328803,0.0004009969,0.0026276624,0.024740314,0.0025224765,0.0026317528,0.0062166876,0.019171102,0.07196528],"study_design_scores_gemma":[0.000012481523,0.0000105284535,0.9688448,0.000059714122,0.000038583723,0.00014950878,0.011272349,0.0004862172,0.00020491709,0.00020754902,0.018685056,0.000028397699],"about_ca_topic_score_codex":0.99636877,"about_ca_topic_score_gemma":0.9988582,"teacher_disagreement_score":0.041524403,"about_ca_system_score_codex":0.041524403,"about_ca_system_score_gemma":0.03783833,"threshold_uncertainty_score":0.30128205},"labels":[],"label_agreement":null},{"id":"W2089144078","doi":"10.1007/s10584-005-5933-0","title":"Geoengineering Downwelling Ocean Currents: A Cost Assessment","year":2005,"lang":"en","type":"article","venue":"Climatic Change","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Downwelling; Ocean current; Environmental science; Oceanography; Ekman transport; Ocean heat content; Atmospheric sciences; Climatology; Geology; Upwelling","score_opus":0.03730203891031892,"score_gpt":0.28082453677910413,"score_spread":0.24352249786878521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089144078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6643881,0.006556721,0.2771487,0.0037573525,0.00029304263,0.00083797856,0.001837542,0.0007358566,0.044444714],"genre_scores_gemma":[0.9357379,0.0020610315,0.057717636,0.00010497971,0.00005948342,0.00018557563,0.00038719023,0.00009095032,0.0036552432],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991295,0.00041828773,0.000028136807,0.00004585419,0.00030796544,0.00007030248],"domain_scores_gemma":[0.990777,0.0073678964,0.0003003843,0.00045047293,0.00096647517,0.00013770038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018734105,0.001136661,0.0008247108,0.0023715962,0.000478435,0.0015718618,0.00076445844,0.0012781724,0.0039171414],"category_scores_gemma":[0.010129886,0.00036521815,0.0010436673,0.0023616753,0.00045676765,0.0022014899,0.00079153414,0.0005344951,0.00030969325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009501243,0.00018802668,0.011036215,0.0004467821,0.00021186465,0.00018856343,0.0000866691,0.4704896,0.0034960024,0.012567198,0.0026326291,0.49770644],"study_design_scores_gemma":[0.00019222921,0.0006972483,0.020631965,0.00011359103,0.00067517976,0.00036257107,0.00030747626,0.95324606,0.0046581603,0.012140372,0.00687293,0.00010227713],"about_ca_topic_score_codex":0.014714768,"about_ca_topic_score_gemma":0.018500492,"teacher_disagreement_score":0.014714768,"about_ca_system_score_codex":0.0024560343,"about_ca_system_score_gemma":0.001730307,"threshold_uncertainty_score":0.029258251},"labels":[],"label_agreement":null},{"id":"W2089869037","doi":"10.1007/s10584-007-9273-0","title":"Soil moisture: a residual problem underlying AGCMs","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Evapotranspiration; Environmental science; Precipitation; Climatology; Water balance; Water content; Surface runoff; Forcing (mathematics); Energy balance; Climate model; Water cycle; Moisture; Atmospheric sciences; Sensible heat; Climate change; Meteorology; Geology","score_opus":0.051612345903360335,"score_gpt":0.2652170530006788,"score_spread":0.2136047070973185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089869037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19131058,0.00081851345,0.79144627,0.0026397947,0.0004089647,0.00008876701,0.0055964054,0.0033987092,0.004291963],"genre_scores_gemma":[0.9318274,0.00033944592,0.062476274,0.00033541783,0.0003023869,0.000073876734,0.0020358493,0.0006281313,0.0019811923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995011,0.0001731967,0.000051023322,0.00015756855,0.000078446785,0.000038667604],"domain_scores_gemma":[0.9973218,0.0014391601,0.00023242377,0.0006009218,0.00033956533,0.000066117565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022428946,0.00040922835,0.0007358855,0.00032091784,0.00052524026,0.0012579556,0.002316488,0.0014634926,0.002560525],"category_scores_gemma":[0.013196753,0.00057118747,0.00051327405,0.00074175256,0.0006252257,0.0025569568,0.00084442063,0.0018403883,0.00040348424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012961362,0.000066985616,0.011740489,0.00028764596,0.00019792501,0.000101693775,0.0001293257,0.8596173,0.0040005813,0.04921084,0.005206237,0.06931141],"study_design_scores_gemma":[0.000040265775,0.00001865942,0.0026268994,0.000014155147,0.000021766757,0.000018246392,0.00001732913,0.97835827,0.0009699652,0.015583433,0.0023151066,0.000015939635],"about_ca_topic_score_codex":0.023577707,"about_ca_topic_score_gemma":0.01348285,"teacher_disagreement_score":0.023577707,"about_ca_system_score_codex":0.00041138075,"about_ca_system_score_gemma":0.00081721105,"threshold_uncertainty_score":0.04688096},"labels":[],"label_agreement":null},{"id":"W2090292554","doi":"10.1007/s10584-006-9167-6","title":"Long-term modeling of soil C erosion and sequestration at the small watershed scale","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Directorate for Biological Sciences; U.S. Environmental Protection Agency","keywords":"Environmental science; Hydrology (agriculture); Watershed; Surface runoff; Soil water; Erosion; Loam; Soil science; Geology; Ecology","score_opus":0.07267559917735986,"score_gpt":0.23154688328992817,"score_spread":0.15887128411256832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090292554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979295,0.0003158418,0.016068622,0.00088286994,0.000048231155,0.000013962024,0.00056014844,0.00015081906,0.0026645202],"genre_scores_gemma":[0.9966583,0.0001670668,0.0013498139,0.000030341153,0.000015805103,0.00001876974,0.00023039985,0.000025986341,0.001503559],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999859,0.000035163273,0.000010286608,0.00004698886,0.000014537562,0.00003404464],"domain_scores_gemma":[0.99945754,0.00022401614,0.00007958124,0.000039571227,0.00010779948,0.000091420894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053744,0.00039001746,0.000612205,0.00030396722,0.0007943242,0.0012797548,0.0013373081,0.0018201552,0.0016965307],"category_scores_gemma":[0.0016550408,0.0005025587,0.00050158094,0.00076176744,0.00093708734,0.0017346663,0.0006372659,0.0009482987,0.00016366762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002970565,0.000056805577,0.0076320153,0.000013624461,0.000034405824,0.0000728766,0.000023071878,0.9881038,0.00096999516,0.0014860753,0.00022836632,0.0013492431],"study_design_scores_gemma":[0.000006063665,0.00000692174,0.002004613,0.0000012502392,0.000009413827,0.000008263738,0.000016278234,0.9971192,0.00012848052,0.0005761682,0.00011869391,0.0000047117433],"about_ca_topic_score_codex":0.07623728,"about_ca_topic_score_gemma":0.0664567,"teacher_disagreement_score":0.07623728,"about_ca_system_score_codex":0.0025838148,"about_ca_system_score_gemma":0.0020338364,"threshold_uncertainty_score":0.15158707},"labels":[],"label_agreement":null},{"id":"W2091860178","doi":"10.1023/b:clim.0000037487.83308.02","title":"Tree-Ring Based Reconstructions of Precipitation for the Southern Canadian Cordillera","year":2004,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precipitation; Dendrochronology; Geology; Range (aeronautics); Physical geography; Climatology; Dendroclimatology; Geography; Meteorology; Paleontology","score_opus":0.05959114374350755,"score_gpt":0.25072227525977364,"score_spread":0.1911311315162661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091860178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99285215,0.00049978984,0.00048501094,0.00021693781,0.000014857548,0.000008082154,0.0043366575,0.00013962788,0.0014468384],"genre_scores_gemma":[0.99556905,0.00017373431,0.0008775761,0.000025170963,0.0000057187035,0.000006054908,0.0025810094,0.000028723012,0.000732928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998691,0.000013155938,0.00000593932,0.00004590433,0.000022578974,0.000043268094],"domain_scores_gemma":[0.99943835,0.00006175449,0.00006733757,0.00004794195,0.0002958203,0.00008873568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046648594,0.00032656963,0.0003328958,0.0010283197,0.0009699922,0.00085262716,0.0009598192,0.0006565927,0.0028154547],"category_scores_gemma":[0.0013538619,0.00031843188,0.00040254736,0.002061154,0.00036715195,0.0003813446,0.0003855983,0.00043724396,0.0004273366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084965397,0.00012523496,0.757654,0.00018760198,0.00064840436,0.00025355062,0.0010007629,0.17001669,0.008614788,0.0023042352,0.010608144,0.04773697],"study_design_scores_gemma":[0.00008505497,0.0000132912255,0.8907278,0.000027605822,0.000092264316,0.000051404866,0.0003572081,0.10204937,0.0006842204,0.00028238833,0.0055665015,0.00006279429],"about_ca_topic_score_codex":0.9676826,"about_ca_topic_score_gemma":0.9828355,"teacher_disagreement_score":0.0323174,"about_ca_system_score_codex":0.008150364,"about_ca_system_score_gemma":0.0061695823,"threshold_uncertainty_score":0.065015376},"labels":[],"label_agreement":null},{"id":"W2092547962","doi":"10.1007/s10584-009-9551-0","title":"The feasibility of carbon incentives to private forest management in Korea","year":2009,"lang":"en","type":"article","venue":"Climatic Change","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Incentive; Carbon sink; Carbon sequestration; Revenue; Greenhouse gas; Carbon offset; Natural resource economics; Business; Carbon credit; Forest management; Climate change; Environmental science; Economics; Finance; Carbon dioxide; Ecology; Agroforestry","score_opus":0.05061543841829921,"score_gpt":0.29877628444719795,"score_spread":0.24816084602889874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092547962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794139,0.00021534212,0.00040450803,0.0022594417,0.000027927614,0.000040282514,0.00012325261,0.000014959814,0.017500388],"genre_scores_gemma":[0.9990823,0.000041274678,0.00009385776,0.00010573201,0.0000063475277,0.000009637081,0.000015297739,0.000002140182,0.00064343173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977719,0.0008800205,0.000120139564,0.00019300445,0.00018592237,0.0008490257],"domain_scores_gemma":[0.9894637,0.0056020156,0.0018047778,0.00047595814,0.001146556,0.0015070195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040493254,0.00040511528,0.00052911876,0.00072224217,0.0016308165,0.0043655396,0.0010300542,0.0021368656,0.0060794437],"category_scores_gemma":[0.009735874,0.00060961023,0.00055538566,0.0006477223,0.0016173288,0.003038029,0.0017402704,0.0017912111,0.00016108512],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012405871,0.0024722929,0.27205136,0.00086519594,0.0006766929,0.0041345963,0.0030452835,0.14271483,0.018557625,0.44905606,0.008451868,0.08556836],"study_design_scores_gemma":[0.00223128,0.0026975563,0.5618589,0.0004766181,0.0013881811,0.0011806483,0.02566206,0.17388046,0.012214064,0.17870294,0.039250728,0.00045660528],"about_ca_topic_score_codex":0.01710127,"about_ca_topic_score_gemma":0.033667333,"teacher_disagreement_score":0.01710127,"about_ca_system_score_codex":0.005222642,"about_ca_system_score_gemma":0.0053305216,"threshold_uncertainty_score":0.037893116},"labels":[],"label_agreement":null},{"id":"W2092652395","doi":"10.1007/s10584-012-0493-6","title":"Selected topics in arctic atmosphere and climate","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Université de Sherbrooke; Air Canada; Bedford Institute of Oceanography; Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"Government of Canada","keywords":"Arctic; Environmental science; Atmosphere (unit); Sea ice; Climatology; Arctic geoengineering; Troposphere; Atmospheric sciences; Climate change; Meteorology; Arctic ice pack; Oceanography; Sea ice thickness; Geology; Geography","score_opus":0.025578859593868117,"score_gpt":0.2266547891603557,"score_spread":0.20107592956648757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092652395","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006318416,0.63617235,0.0037830207,0.036505442,0.044190932,0.00014928228,0.0019376826,0.00022083227,0.27072203],"genre_scores_gemma":[0.040365957,0.69597226,0.0032913717,0.0065655927,0.10280908,0.00023273483,0.002957165,0.00023430398,0.14757153],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934644,0.00017663844,0.00003708133,0.00009578246,0.0002137221,0.0001303418],"domain_scores_gemma":[0.9988141,0.00032172844,0.000092124894,0.00004947619,0.00034506485,0.00037754854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014690813,0.0011345105,0.0008270332,0.004598146,0.0016312009,0.0038441739,0.00059492374,0.0014906455,0.028734187],"category_scores_gemma":[0.001668644,0.00018388203,0.0006975965,0.007616761,0.0006859697,0.002105607,0.002506531,0.0018400169,0.006416549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012259601,0.00014824643,0.005219942,0.0022988915,0.000046174617,0.00037583595,0.0009872634,0.0014961896,0.00088569405,0.034313582,0.48615536,0.4679502],"study_design_scores_gemma":[0.000006831424,0.00006109821,0.0068710227,0.0011351701,0.00001581134,0.00009755369,0.00051537086,0.00029668256,0.00014751604,0.004774372,0.9860692,0.000009350575],"about_ca_topic_score_codex":0.0069143013,"about_ca_topic_score_gemma":0.0073095215,"teacher_disagreement_score":0.028734187,"about_ca_system_score_codex":0.0018789887,"about_ca_system_score_gemma":0.002582993,"threshold_uncertainty_score":0.096125424},"labels":[],"label_agreement":null},{"id":"W2094356778","doi":"10.1007/s10584-015-1347-9","title":"Potential impact of climate change on intensity duration frequency curves of central Alberta","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Pennsylvania State University","keywords":"MM5; Environmental science; Climatology; Climate change; Precipitation; Climate model; Storm; Winter storm; Precipitable water; Global warming; Atmospheric sciences; Meteorology; Geography; Geology","score_opus":0.07496844165611495,"score_gpt":0.2909850911827837,"score_spread":0.21601664952666877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094356778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941527,0.00011173486,0.00067734724,0.00016415394,0.0000052859573,0.0000043660275,0.00071254245,0.000036138536,0.004135551],"genre_scores_gemma":[0.99837434,0.000047219124,0.00015346825,0.000013548351,0.0000024666601,0.0000019501315,0.00039707465,0.0000088942115,0.0010009062],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998597,0.000025594654,0.0000065847953,0.000022836373,0.000029990377,0.000055298216],"domain_scores_gemma":[0.998944,0.00038135043,0.00012546327,0.00006446708,0.0003262949,0.00015841947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006864749,0.00014855633,0.00014881436,0.0008475803,0.00049262145,0.0012119684,0.00076323014,0.00043153873,0.0033718692],"category_scores_gemma":[0.0023384397,0.00017483,0.00025714198,0.0013059854,0.0003949431,0.00033374646,0.00036089888,0.00031092102,0.0001466543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007885244,0.00009559069,0.5952005,0.00007679705,0.0001857145,0.0003267939,0.0010139488,0.3632176,0.006395929,0.008683213,0.0035867544,0.020428747],"study_design_scores_gemma":[0.00002397423,0.000026213907,0.78169364,0.000025198322,0.000045979075,0.00005145603,0.00077913253,0.21073774,0.00073933945,0.0017557895,0.0040835617,0.000037948605],"about_ca_topic_score_codex":0.82372516,"about_ca_topic_score_gemma":0.8592505,"teacher_disagreement_score":0.17627484,"about_ca_system_score_codex":0.0057542636,"about_ca_system_score_gemma":0.0023016743,"threshold_uncertainty_score":0.35462588},"labels":[],"label_agreement":null},{"id":"W2095602768","doi":"10.1007/s10584-004-0079-z","title":"A Case Study of Carbon Pools Under Three Different Land-Uses in Panam�","year":2004,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Smithsonian Tropical Research Institute","keywords":"Pasture; Environmental science; Eddy covariance; Soil water; Organic matter; Tectona; Litter; Forestry; Ecosystem; Agronomy; Soil organic matter; Deciduous; Agroforestry; Ecology; Soil science; Geography; Biology","score_opus":0.05668507352459756,"score_gpt":0.253768209624762,"score_spread":0.19708313610016442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095602768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978836,0.0000380664,0.00023249393,0.00007771168,0.0000019055539,0.000024370232,0.0000576263,0.000005485339,0.0016787469],"genre_scores_gemma":[0.9986507,0.0000601214,0.00067914935,0.0000202356,0.0000024904637,0.000011463214,0.000058890215,0.000003264107,0.0005137135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970216,0.00011765895,0.00001360206,0.00004329442,0.000035252535,0.00008801463],"domain_scores_gemma":[0.99961686,0.00016197412,0.00006261123,0.000026269803,0.000037715225,0.00009462393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046344352,0.00029657627,0.00030686532,0.00080688595,0.002135968,0.00090678036,0.0006891612,0.001211891,0.0016411712],"category_scores_gemma":[0.00094967574,0.00018370696,0.00035556115,0.002795699,0.0011780574,0.00079166424,0.0010827926,0.0004514195,0.000062647916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016575432,0.0012268799,0.7148658,0.0005589433,0.00046447004,0.09401838,0.036503073,0.03503008,0.026359549,0.0131732635,0.0019005875,0.07424147],"study_design_scores_gemma":[0.000139851,0.0008474901,0.86962277,0.000056211404,0.00019045836,0.00878059,0.060135037,0.036632545,0.00583204,0.0048515843,0.012804586,0.00010684275],"about_ca_topic_score_codex":0.05107546,"about_ca_topic_score_gemma":0.1565389,"teacher_disagreement_score":0.05107546,"about_ca_system_score_codex":0.0018246903,"about_ca_system_score_gemma":0.0006618034,"threshold_uncertainty_score":0.10155636},"labels":[],"label_agreement":null},{"id":"W2095686031","doi":"10.1007/s10584-009-9754-4","title":"Crop yield response to economic, site and climatic variables","year":2009,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":187,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Yield (engineering); Precipitation; Environmental science; Growing season; Climate change; Crop; Mean radiant temperature; Crop yield; Agronomy; Variance (accounting); Climatology; Atmospheric sciences; Geography; Ecology; Meteorology; Biology; Economics","score_opus":0.0730819748298906,"score_gpt":0.2662670593918016,"score_spread":0.19318508456191102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095686031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998985,0.000027686703,0.00018488642,0.00002789119,0.0000027152241,0.000002162244,0.00034474046,0.000008116883,0.0004168316],"genre_scores_gemma":[0.9988471,0.000018336028,0.000055135686,0.00001135122,0.000002769314,0.0000029287635,0.0004582832,0.000007851371,0.0005962161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998073,0.000066052904,0.000009989954,0.000048512764,0.000019322626,0.000048779526],"domain_scores_gemma":[0.9988877,0.0006201814,0.00012627844,0.00007417257,0.000117509066,0.00017423333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048806224,0.00019303842,0.00035529293,0.00024547477,0.00018655206,0.00046361805,0.00022496632,0.00033268103,0.0038136987],"category_scores_gemma":[0.0015104997,0.00015350559,0.00039371478,0.00041859754,0.0002382603,0.00029654035,0.00033673042,0.00036543215,0.0005125099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032596758,0.00035550198,0.8950306,0.000058255846,0.00056642643,0.0003483061,0.00029048836,0.020015895,0.071681336,0.0004999878,0.00074485247,0.0071486747],"study_design_scores_gemma":[0.000008313278,0.0001372647,0.99215186,0.0000010104309,0.000037101447,0.0000754628,0.00011265153,0.0059506763,0.0011336369,0.00012193576,0.0002638939,0.0000063326047],"about_ca_topic_score_codex":0.004828278,"about_ca_topic_score_gemma":0.0061482266,"teacher_disagreement_score":0.004828278,"about_ca_system_score_codex":0.00029094148,"about_ca_system_score_gemma":0.00016512779,"threshold_uncertainty_score":0.012758017},"labels":[],"label_agreement":null},{"id":"W2095711508","doi":"10.1007/s10584-005-9026-x","title":"Climate Strategy with Co2 Capture from the Air","year":2005,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":468,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Marginal abatement cost; Climate change; Environmental science; Natural resource economics; Marginal cost; Climate change mitigation; Carbon capture and storage (timeline); Damages; Greenhouse gas; Economics; Microeconomics","score_opus":0.033622034987763366,"score_gpt":0.2267736868259934,"score_spread":0.19315165183823002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095711508","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4558327,0.0019171691,0.05442672,0.013393403,0.0005104955,0.00015188166,0.00047413728,0.00030609773,0.47298732],"genre_scores_gemma":[0.9880292,0.00020478977,0.0016734224,0.0003446423,0.000033003424,0.000015761148,0.000032336047,0.00002276551,0.009644173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99972147,0.00006939424,0.000007191632,0.000081899074,0.000042652977,0.00007744272],"domain_scores_gemma":[0.9996613,0.00008383285,0.000034714343,0.0000640922,0.000056777237,0.00009936825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005015408,0.00044310186,0.00028800996,0.000344152,0.0005174231,0.0025085006,0.0006519613,0.0014994972,0.013282171],"category_scores_gemma":[0.0013490905,0.00015538278,0.0003854333,0.00037334728,0.0009032759,0.0019888435,0.0012864341,0.0007349685,0.0009880069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008367526,0.00041999915,0.0120897135,0.00020759823,0.00032109628,0.0004646276,0.00038695807,0.07867482,0.017335793,0.78880084,0.011553194,0.088908575],"study_design_scores_gemma":[0.00018914715,0.0004519708,0.0181559,0.000058245725,0.00014918073,0.00023628585,0.0013851967,0.11176828,0.0104441885,0.7962813,0.060789447,0.00009097893],"about_ca_topic_score_codex":0.0037109496,"about_ca_topic_score_gemma":0.007265323,"teacher_disagreement_score":0.013282171,"about_ca_system_score_codex":0.0015227817,"about_ca_system_score_gemma":0.0015587446,"threshold_uncertainty_score":0.044433296},"labels":[],"label_agreement":null},{"id":"W2096067851","doi":"10.1007/s10584-009-9795-8","title":"Interval-fuzzy stochastic optimization for regional energy systems planning and greenhouse-gas emission management under uncertainty—a case study for the Province of Ontario, Canada","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Water resources management and optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Context (archaeology); Environmental economics; Reduction (mathematics); Environmental science; Environmental resource management; Scale (ratio); Energy supply; Energy planning; Energy (signal processing); Computer science; Renewable energy; Economics; Engineering; Geography; Mathematics","score_opus":0.03331282485377452,"score_gpt":0.2320289677147476,"score_spread":0.19871614286097308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096067851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8942361,0.00092217827,0.07708075,0.0014107543,0.000041787232,0.00023034589,0.0013756031,0.00017943872,0.02452301],"genre_scores_gemma":[0.98803806,0.00023175743,0.007949718,0.00002125352,0.0000064440997,0.000031690335,0.00020475918,0.000018846426,0.0034974874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994843,0.0001475607,0.00002317411,0.000061091414,0.00014271445,0.00014121679],"domain_scores_gemma":[0.9991855,0.0005328782,0.00004782198,0.000020869711,0.00015775362,0.000055296252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010301322,0.0005860304,0.0007713013,0.0006326154,0.0017455211,0.0025373888,0.0013223963,0.0012127623,0.0017359012],"category_scores_gemma":[0.0024157509,0.0004436714,0.00069003465,0.0017947928,0.0011126498,0.00055239233,0.0003921668,0.0006654867,0.00007916952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004084288,0.000028909068,0.001662269,0.000029489483,0.000023448256,0.00014257687,0.000060746355,0.98954344,0.00024643063,0.0035025072,0.0005744911,0.00414482],"study_design_scores_gemma":[0.000020112377,0.000019200279,0.0024615072,0.0000058462124,0.000017299815,0.000017590388,0.00019600632,0.9945148,0.00016265077,0.0018000375,0.0007700467,0.000014949427],"about_ca_topic_score_codex":0.95170826,"about_ca_topic_score_gemma":0.9601233,"teacher_disagreement_score":0.048291743,"about_ca_system_score_codex":0.022415534,"about_ca_system_score_gemma":0.018289294,"threshold_uncertainty_score":0.16263682},"labels":[],"label_agreement":null},{"id":"W2098282889","doi":"10.1007/s10584-012-0522-5","title":"Potential effect of climate change on observed fire regimes in the Cordilleran forests of South-Central Interior, British Columbia","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Climate change; Fire regime; Environmental science; Fire ecology; Ecosystem; Physical geography; Flammable liquid; Geography; Climatology; Ecology; Geology","score_opus":0.023577408767121374,"score_gpt":0.22901851513448193,"score_spread":0.20544110636736057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098282889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989196,0.00012134001,0.000027492719,0.00006735244,0.0000027510146,0.0000023910666,0.00026156232,0.0000029492526,0.0005947022],"genre_scores_gemma":[0.9995515,0.0000682899,0.000026527334,0.000019081028,0.0000016402638,0.000002087183,0.00015492814,0.0000012325553,0.00017467998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962425,0.00011492278,0.000024041365,0.000075537515,0.000057832618,0.00010337415],"domain_scores_gemma":[0.9985846,0.00049059326,0.00020337422,0.00008022038,0.00042743928,0.00021383492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000498857,0.00017816306,0.0002371326,0.00074410555,0.0009304557,0.0011232038,0.00061199494,0.00034958785,0.0013521134],"category_scores_gemma":[0.0027091033,0.00018795632,0.00020310836,0.0012883547,0.00060497684,0.0002880476,0.00049573934,0.0003943562,0.00009939943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097907614,0.000027514663,0.9941864,0.000018236831,0.000081771104,0.00012385432,0.00037092462,0.00071904133,0.00074898795,0.00005343199,0.0002665586,0.0033053232],"study_design_scores_gemma":[0.0000022177762,0.000002323097,0.9990957,0.0000039591223,0.000007828252,0.000016332417,0.00025959878,0.00042703387,0.0000368313,0.000010268447,0.00013529988,0.0000025178533],"about_ca_topic_score_codex":0.91082734,"about_ca_topic_score_gemma":0.97846484,"teacher_disagreement_score":0.08917266,"about_ca_system_score_codex":0.005143343,"about_ca_system_score_gemma":0.002530518,"threshold_uncertainty_score":0.17939556},"labels":[],"label_agreement":null},{"id":"W2099276570","doi":"10.1007/s10584-007-9378-5","title":"Sectoral approaches to improve regional carbon budgets","year":2008,"lang":"en","type":"article","venue":"Climatic Change","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Canadian Forest Service","funders":"","keywords":"Greenhouse gas; Carbon accounting; Permafrost; Agriculture; Natural resource economics; Environmental resource management; Business; Carbon cycle; Goods and services; Fossil fuel; Environmental science; Land use; Wetland; Ecology; Economics; Ecosystem","score_opus":0.18840424484160015,"score_gpt":0.24511172817074292,"score_spread":0.05670748332914277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099276570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07803871,0.004303659,0.8242673,0.0035089164,0.00043156557,0.0010085066,0.021884853,0.0021207002,0.06443581],"genre_scores_gemma":[0.36825237,0.00276296,0.61466086,0.0004103268,0.00014676678,0.0012212249,0.00885228,0.00075066474,0.0029425612],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9927978,0.004184173,0.0009839162,0.00084915565,0.0008939816,0.00029095303],"domain_scores_gemma":[0.9753795,0.0077615776,0.002740973,0.0056130677,0.00819424,0.0003106769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016461072,0.00096575817,0.0011457512,0.006547036,0.000632692,0.0039162445,0.001538388,0.00063213595,0.008505602],"category_scores_gemma":[0.04788746,0.0007327216,0.0009545575,0.017786004,0.0004975928,0.0058340007,0.0031790077,0.0010056534,0.0010964522],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024355347,0.00014972645,0.07446378,0.0019923644,0.0011726343,0.00011247775,0.002063488,0.19443032,0.0030918112,0.19221951,0.015003342,0.515057],"study_design_scores_gemma":[0.00012363167,0.00015684492,0.06152434,0.0013452972,0.0008011264,0.00018159427,0.0042174524,0.326494,0.0066801677,0.31564972,0.28261897,0.0002069147],"about_ca_topic_score_codex":0.022894304,"about_ca_topic_score_gemma":0.02351329,"teacher_disagreement_score":0.022894304,"about_ca_system_score_codex":0.003133383,"about_ca_system_score_gemma":0.00448811,"threshold_uncertainty_score":0.087055504},"labels":[],"label_agreement":null},{"id":"W2100221950","doi":"10.1007/s10584-015-1355-9","title":"Climate change implications in the northern coastal temperate rainforest of North America","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"Office of Experimental Program to Stimulate Competitive Research; Gordon and Betty Moore Foundation; Wilburforce Foundation; National Science Foundation","keywords":"Environmental science; Snow; Precipitation; Snowpack; Climate change; Temperate climate; Representative Concentration Pathways; Temperate rainforest; Productivity; Vegetation (pathology); Habitat; Wetland; Ecology; Ecosystem; Physical geography; Climate model; Geography","score_opus":0.11854044188778003,"score_gpt":0.26692788303900317,"score_spread":0.14838744115122315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100221950","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023427466,0.9914854,0.00034740154,0.0027702644,0.00067805743,0.000010308904,0.00034771644,0.000012359436,0.0020057827],"genre_scores_gemma":[0.021514803,0.9736589,0.0008418668,0.0022088462,0.0008388138,0.000026991513,0.00035138684,0.0000064653354,0.0005518907],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993217,0.00020560886,0.00013516487,0.00013927059,0.00015092542,0.00004734879],"domain_scores_gemma":[0.9972364,0.0014513112,0.00042073033,0.000059321417,0.00072925654,0.0001029962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002118152,0.0005739029,0.00067664037,0.0031120987,0.00039558747,0.00137777,0.00045968848,0.00072979013,0.0023878613],"category_scores_gemma":[0.0041371416,0.00023502577,0.00072255335,0.0034997151,0.00036277002,0.0014210937,0.0007696768,0.00066786417,0.00023241121],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007969426,0.00004871659,0.016554024,0.09129435,0.0009875908,0.00058015675,0.0015747917,0.004071311,0.0022689828,0.003646318,0.05726505,0.82162905],"study_design_scores_gemma":[0.000021325588,0.00011056677,0.07392649,0.09753706,0.0018214702,0.00056353,0.0014568857,0.0006200847,0.00049534725,0.003538526,0.81985134,0.000057260007],"about_ca_topic_score_codex":0.022145962,"about_ca_topic_score_gemma":0.065437265,"teacher_disagreement_score":0.977854,"about_ca_system_score_codex":0.0015930769,"about_ca_system_score_gemma":0.005633697,"threshold_uncertainty_score":0.044034123},"labels":[],"label_agreement":null},{"id":"W2103783970","doi":"10.1007/s10584-006-9148-9","title":"Snow cover variability across central Canada (1978–2002) derived from satellite passive microwave data","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada; Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada","keywords":"Environmental science; Land cover; Snow; Special sensor microwave/imager; Climatology; Spatial variability; Satellite; Arctic; Physical geography; Spatial ecology; Brightness temperature; Meteorology; Microwave; Land use; Geography; Geology; Ecology","score_opus":0.0733338041748623,"score_gpt":0.26209341437876993,"score_spread":0.18875961020390764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103783970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796537,0.00064827513,0.00012396483,0.00010636614,0.000014674335,0.000012920498,0.01727829,0.000039357164,0.00212232],"genre_scores_gemma":[0.9864965,0.00040442336,0.00018446935,0.00003370373,0.000008434156,0.000010631992,0.011216688,0.000010204386,0.0016348582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997975,0.000007723267,0.000012591708,0.00004403585,0.00007297735,0.00006516535],"domain_scores_gemma":[0.9990565,0.000058068064,0.00012607835,0.00002389672,0.00060591527,0.00012939729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023565044,0.0003318318,0.00034495298,0.002146183,0.0010212642,0.00095036766,0.0006024813,0.00025792452,0.0011010205],"category_scores_gemma":[0.00073034153,0.0001887217,0.00031210005,0.004741303,0.0003012507,0.0002724007,0.00029657144,0.00027144715,0.00019670092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004246524,0.000051243158,0.9696416,0.00013936455,0.0003096222,0.0003492201,0.00090030784,0.0026895253,0.0025678282,0.00026083225,0.006489001,0.016176758],"study_design_scores_gemma":[0.00000682634,0.000004810012,0.997186,0.000011029543,0.000036232937,0.00003430531,0.00015730706,0.0005758901,0.00015960397,0.0000091442835,0.0018133548,0.000005558096],"about_ca_topic_score_codex":0.9940103,"about_ca_topic_score_gemma":0.99660575,"teacher_disagreement_score":0.0132958265,"about_ca_system_score_codex":0.0132958265,"about_ca_system_score_gemma":0.011563353,"threshold_uncertainty_score":0.09646845},"labels":[],"label_agreement":null},{"id":"W2105508996","doi":"10.1007/s10584-011-0350-z","title":"Authorship in IPCC AR5 and its implications for content: climate change and Indigenous populations in WGII","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Indigenous; Climate change; Vulnerability (computing); Scholarship; Publishing; Political science; Adaptation (eye); Geography; Ecology; Psychology; Law","score_opus":0.7177910025652328,"score_gpt":0.4701277051326223,"score_spread":0.24766329743261045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105508996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5846794,0.012815114,0.03338572,0.1188194,0.013324418,0.0009457093,0.0044458024,0.000508823,0.23107558],"genre_scores_gemma":[0.9627911,0.0040255156,0.008892929,0.0040460993,0.0025692477,0.00060502376,0.0011939835,0.00028138552,0.015594908],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9623378,0.019442072,0.0041022766,0.0023123012,0.009911614,0.0018938819],"domain_scores_gemma":[0.5849835,0.32469428,0.027751908,0.014549612,0.04470154,0.003319045],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.04724782,0.00032427817,0.0004823858,0.006341454,0.0036587669,0.01056818,0.0012383992,0.0011649732,0.005063766],"category_scores_gemma":[0.2455888,0.0003468316,0.00032012153,0.011053542,0.006388772,0.0071429787,0.005068744,0.0018971583,0.0006614055],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015997779,0.0000671529,0.095191285,0.0027651165,0.00008037372,0.00061679323,0.522068,0.0009997383,0.0014011005,0.13235332,0.062394347,0.18190268],"study_design_scores_gemma":[0.000019642694,0.00015442973,0.16034856,0.005561032,0.00008364373,0.00051866256,0.2906128,0.0015700585,0.003165465,0.051978767,0.48586342,0.00012354495],"about_ca_topic_score_codex":0.004600466,"about_ca_topic_score_gemma":0.002919441,"teacher_disagreement_score":0.998835,"about_ca_system_score_codex":0.0051035886,"about_ca_system_score_gemma":0.0072588525,"threshold_uncertainty_score":0.24987328},"labels":[],"label_agreement":null},{"id":"W2106385419","doi":"10.1023/a:1020207710195","title":"Determining Effects of Area Burned and Fire Severity on Carbon Cycling and Emissions in Siberia","year":2002,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":251,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"U.S. Forest Service","keywords":"Taiga; Boreal; Environmental science; Vegetation (pathology); Boreal ecosystem; Carbon cycle; Fire regime; Climate change; Global change; Biomass (ecology); Disturbance (geology); Greenhouse gas; Global warming; Physical geography; Climatology; Productivity; Atmospheric sciences; Ecology; Ecosystem; Forestry; Geography; Geology","score_opus":0.027255965122200722,"score_gpt":0.22696938613264755,"score_spread":0.19971342101044684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106385419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99970514,0.000059184145,0.00002611866,0.000010761779,0.0000019281417,0.0000012888426,0.00008768522,0.0000017887545,0.00010609964],"genre_scores_gemma":[0.9994742,0.00005819415,0.00007011873,0.000016158483,0.0000023651896,0.0000028190234,0.00028967054,0.000002064374,0.00008438814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997763,0.000086627355,0.000027345028,0.000042269847,0.00002128017,0.00004615453],"domain_scores_gemma":[0.9994387,0.00016953873,0.000095060175,0.00004930594,0.00006644097,0.0001808231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048822,0.0005795874,0.00062712503,0.0009234542,0.000901664,0.0006688843,0.00039937484,0.00031938715,0.000810991],"category_scores_gemma":[0.0010157871,0.00022848228,0.0007210142,0.0010086519,0.0004701418,0.00034201928,0.0005575016,0.0002731549,0.0001235335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006372241,0.000093708986,0.9868651,0.00002328094,0.00037371906,0.00024736967,0.00019849073,0.0017628836,0.0059415195,0.000028743272,0.00008408876,0.0037438793],"study_design_scores_gemma":[0.000005829255,0.000027273569,0.9987387,0.000001730055,0.00005741927,0.000032288794,0.00008942181,0.00068839255,0.00028892513,0.000017311768,0.0000496524,0.0000030196732],"about_ca_topic_score_codex":0.08677028,"about_ca_topic_score_gemma":0.12006322,"teacher_disagreement_score":0.08677028,"about_ca_system_score_codex":0.0012617434,"about_ca_system_score_gemma":0.0008356383,"threshold_uncertainty_score":0.17253047},"labels":[],"label_agreement":null},{"id":"W2112442709","doi":"10.1007/s10584-006-9099-1","title":"Simulation of long-term future climate changes with the green McGill paleoclimate model: the next glacial inception","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Glacial period; Paleoclimatology; Climatology; Environmental science; Climate change; Orbital forcing; Global warming; Ice age; Climate model; Last Glacial Maximum; Atmospheric sciences; Geology; Geomorphology; Oceanography","score_opus":0.057196811114904225,"score_gpt":0.2718696515144211,"score_spread":0.2146728403995169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112442709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861304,0.00017849838,0.0033337586,0.0011766779,0.000110485904,0.000031465366,0.002820922,0.00019605109,0.006021784],"genre_scores_gemma":[0.9952371,0.000084332656,0.0021088002,0.00011219808,0.000014072678,0.000029465531,0.0012141292,0.000049059345,0.0011507802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998093,0.00006336793,0.000009506881,0.00003640157,0.000021899017,0.00005946574],"domain_scores_gemma":[0.9990631,0.000356155,0.000079756675,0.000062717416,0.0001407336,0.00029748073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085611275,0.00056398596,0.000753276,0.00054833,0.00086209754,0.0012014317,0.001879198,0.001625761,0.0039681895],"category_scores_gemma":[0.0030912417,0.0006744871,0.00080378447,0.0008907222,0.0009404854,0.0008629054,0.00075768057,0.0016805866,0.0002462615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001649337,0.000051681865,0.005720394,0.000011184558,0.00004939812,0.000052168543,0.000039948463,0.99043286,0.0002509608,0.0010715557,0.0009841732,0.0011708486],"study_design_scores_gemma":[0.0000786875,0.000025292065,0.0022759226,0.000004199955,0.000025102663,0.000005276638,0.00002594497,0.9966614,0.00012639137,0.00042380524,0.00033294546,0.00001501236],"about_ca_topic_score_codex":0.49294096,"about_ca_topic_score_gemma":0.43191785,"teacher_disagreement_score":0.49294096,"about_ca_system_score_codex":0.0042624,"about_ca_system_score_gemma":0.004565303,"threshold_uncertainty_score":0.9801434},"labels":[],"label_agreement":null},{"id":"W2114475940","doi":"10.1007/s10584-007-9246-3","title":"Expert judgements on the response of the Atlantic meridional overturning circulation to climate change","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":132,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Victoria","funders":"","keywords":"Climate change; Climatology; Climate model; Environmental science; Forcing (mathematics); Precipitation; Greenhouse gas; Abrupt climate change; Ocean current; Global warming; Geography; Effects of global warming; Oceanography; Geology; Meteorology","score_opus":0.09574414048864975,"score_gpt":0.2987560700041206,"score_spread":0.2030119295154708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114475940","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26530346,0.017935757,0.060706083,0.4277855,0.030556634,0.001390265,0.0067033498,0.00075748394,0.18886153],"genre_scores_gemma":[0.84952056,0.009179367,0.037744142,0.07898532,0.009360057,0.0006597041,0.002429668,0.00027824807,0.011842861],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9589958,0.01715727,0.008058666,0.0015611892,0.01258126,0.0016457663],"domain_scores_gemma":[0.5747336,0.28559613,0.015588543,0.01238312,0.100713566,0.010984954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05989435,0.00054847065,0.0010617883,0.004119138,0.0020893954,0.0030201813,0.0027305228,0.00486566,0.009977963],"category_scores_gemma":[0.32348326,0.0004308985,0.0016731523,0.0020750554,0.0026917425,0.002092501,0.0033474392,0.0037037812,0.0022009967],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023433785,0.00028388717,0.035365272,0.006945791,0.0017968781,0.00372461,0.015295953,0.016734129,0.005880462,0.016609905,0.4960413,0.39897844],"study_design_scores_gemma":[0.0011613396,0.00069077616,0.10429029,0.025790485,0.002232667,0.0058883643,0.04299484,0.051312935,0.0079242755,0.1973524,0.55855954,0.0018020711],"about_ca_topic_score_codex":0.009385281,"about_ca_topic_score_gemma":0.012579693,"teacher_disagreement_score":0.05989435,"about_ca_system_score_codex":0.002766271,"about_ca_system_score_gemma":0.0041818665,"threshold_uncertainty_score":0.3167554},"labels":[],"label_agreement":null},{"id":"W2116898223","doi":"10.1007/s10584-013-0730-7","title":"Expert assessment of vulnerability of permafrost carbon to climate change","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":344,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"National Science Foundation","keywords":"Permafrost; Climate change; Environmental science; Global warming; Greenhouse gas; Radiative forcing; Forcing (mathematics); Climatology; Physical geography; Atmosphere (unit); Atmospheric sciences; Geography; Meteorology; Geology; Oceanography","score_opus":0.10083586051050077,"score_gpt":0.3196162898490488,"score_spread":0.21878042933854802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116898223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98571616,0.00013352987,0.003097751,0.0007705101,0.000020472766,0.0001557439,0.0002905847,0.000023530727,0.009791857],"genre_scores_gemma":[0.9954514,0.00013411403,0.0030430243,0.00023668482,0.000021527607,0.00010881352,0.00025792155,0.0000030029478,0.0007435256],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99375993,0.002979919,0.0006966179,0.00054716534,0.0014213728,0.0005950728],"domain_scores_gemma":[0.975837,0.011936926,0.0037273732,0.0011191487,0.0062146,0.0011649231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007072962,0.00033114193,0.0002675981,0.0018972162,0.0010416687,0.0013007319,0.00055137,0.0010763489,0.0026536197],"category_scores_gemma":[0.029601632,0.00024365321,0.00055624923,0.000660829,0.00055487565,0.0007778951,0.0012792209,0.00055249996,0.0003935401],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095752097,0.00035414728,0.82943434,0.0006592761,0.0003500464,0.0008130165,0.031644534,0.009460812,0.0095623145,0.0014673274,0.0069055674,0.10839109],"study_design_scores_gemma":[0.000104638835,0.0011919996,0.7784009,0.000694192,0.00023303759,0.0017257261,0.11224242,0.05070358,0.0054687066,0.009503994,0.03931298,0.00041775618],"about_ca_topic_score_codex":0.0040114513,"about_ca_topic_score_gemma":0.004380059,"teacher_disagreement_score":0.007072962,"about_ca_system_score_codex":0.0010218994,"about_ca_system_score_gemma":0.00082367024,"threshold_uncertainty_score":0.03740579},"labels":[],"label_agreement":null},{"id":"W2121560581","doi":"10.1007/s10584-011-0045-5","title":"A systematic review of observed climate change adaptation in developed nations","year":2011,"lang":"en","type":"review","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":442,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Climate change; Adaptation (eye); Psychological intervention; Climate change adaptation; Systematic review; Environmental resource management; Scholarship; Government (linguistics); Environmental planning; Political science; Public economics; Regional science; Natural resource economics; Geography; Environmental science; Economics; Psychology; Ecology; MEDLINE","score_opus":0.6608893016838792,"score_gpt":0.4269313728224809,"score_spread":0.23395792886139827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121560581","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002322548,0.99318963,0.0009999338,0.00050880184,0.00023184074,0.00097403553,0.0010117787,0.000015901944,0.0007454453],"genre_scores_gemma":[0.025467249,0.96744454,0.0038754155,0.0005362718,0.00005861672,0.0018092141,0.00058427884,0.0000074316904,0.00021698231],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98525083,0.0062594903,0.005060162,0.0009673817,0.0021824404,0.0002796317],"domain_scores_gemma":[0.96470934,0.024853777,0.0050301244,0.0009925863,0.0041320976,0.0002820061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01602186,0.0016514844,0.0062146774,0.015959062,0.0010664469,0.0027659999,0.0017573427,0.0015850299,0.003099613],"category_scores_gemma":[0.08027429,0.0011120188,0.0052252663,0.021956392,0.0010728601,0.0027641973,0.0020900269,0.0010304948,0.00027756375],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012231553,0.000017518842,0.00097509933,0.92226094,0.00821193,0.00018503859,0.0006167856,0.000299863,0.0002404775,0.00079934305,0.002386385,0.06388434],"study_design_scores_gemma":[0.00012136465,0.00018530112,0.0069218804,0.9027964,0.051356442,0.00037325555,0.00068274885,0.000120883546,0.0003206737,0.00079857133,0.036270645,0.000051920902],"about_ca_topic_score_codex":0.012030089,"about_ca_topic_score_gemma":0.047906682,"teacher_disagreement_score":0.01602186,"about_ca_system_score_codex":0.0053842943,"about_ca_system_score_gemma":0.027563361,"threshold_uncertainty_score":0.08473271},"labels":[],"label_agreement":null},{"id":"W2122388110","doi":"10.1007/s10584-012-0548-8","title":"Tracking suitable habitat for tree populations under climate change in western North America","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":183,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta-Pacific Forest Industries","keywords":"Reforestation; Climate change; Elevation (ballistics); Habitat; Latitude; Taiga; Geography; Ecology; Physical geography; Environmental science; Forestry; Biology","score_opus":0.1736385814375166,"score_gpt":0.3327349722778842,"score_spread":0.15909639084036759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122388110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99963415,0.00002454694,0.00005285484,0.000015164858,9.4582884e-7,0.0000014787092,0.00013950412,0.0000021970595,0.00012916548],"genre_scores_gemma":[0.99947137,0.000026154124,0.00017224016,0.000008614579,0.0000013964044,0.0000065541885,0.00021853932,0.000001510759,0.00009353343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998827,0.000030635598,0.000008465858,0.000043025004,0.000015195864,0.000020078503],"domain_scores_gemma":[0.99918026,0.00020284373,0.0002997916,0.00005011148,0.00011907636,0.00014786032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034905237,0.00010991575,0.00017276914,0.0007851293,0.0005446271,0.0004191847,0.00034601122,0.0002873539,0.0007952251],"category_scores_gemma":[0.0012386073,0.00014965222,0.00015187162,0.0009657816,0.0003016148,0.0005055108,0.0003986081,0.00021898036,0.00008240604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037734717,0.000025695026,0.9964025,0.000007460335,0.000027869406,0.000027847675,0.00044865243,0.00036481046,0.000725274,0.000027141585,0.00017072081,0.0017344219],"study_design_scores_gemma":[0.000001124602,0.0000071897593,0.99886084,0.0000017590168,0.000004852287,0.000015754804,0.00035031955,0.00059946184,0.00003757427,0.000015469748,0.00010434161,0.0000012806227],"about_ca_topic_score_codex":0.08969459,"about_ca_topic_score_gemma":0.35705426,"teacher_disagreement_score":0.08969459,"about_ca_system_score_codex":0.0006559664,"about_ca_system_score_gemma":0.00030822933,"threshold_uncertainty_score":0.17834502},"labels":[],"label_agreement":null},{"id":"W2123802607","doi":"10.1007/s10584-011-0033-9","title":"The twentieth century contiguous US temperature changes indicated by daily data and higher statistical moments","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Moment (physics); Probability density function; Climate change; Maximum temperature; Surface air temperature; Air temperature; Atmospheric sciences; Mean radiant temperature; Mathematics; Environmental science; Climatology; Statistics; Meteorology; Physics; Geology; Precipitation","score_opus":0.07512149103697639,"score_gpt":0.26945744887466083,"score_spread":0.19433595783768443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123802607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747489,0.001420832,0.0022812148,0.0016070177,0.00016196146,0.000004374273,0.012425048,0.00012210765,0.0072285603],"genre_scores_gemma":[0.99527633,0.0006239048,0.00032477677,0.000039732022,0.000038280774,0.0000033322365,0.0026531979,0.000015960268,0.0010243373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995506,0.000007802073,0.000005206608,0.00001317544,0.0000090153135,0.000009635148],"domain_scores_gemma":[0.9996433,0.00006502308,0.00016412612,0.000034576275,0.00006497003,0.00002799992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015202288,0.000118221156,0.00006484661,0.0007726303,0.00018526938,0.00066935975,0.00013883642,0.00018257729,0.0020953433],"category_scores_gemma":[0.0015003063,0.00010925993,0.00012393086,0.0023418698,0.00020864642,0.00048482438,0.000311657,0.00029460245,0.00022185234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040719245,0.00004989683,0.8534507,0.00016162996,0.00023122148,0.00047666652,0.0010213434,0.034890242,0.00391782,0.030204257,0.02311213,0.05207696],"study_design_scores_gemma":[0.000015206646,0.000021243412,0.95660454,0.000043608987,0.000060812894,0.0002172628,0.00032464796,0.016206352,0.0007808251,0.0043706144,0.021336814,0.000018010269],"about_ca_topic_score_codex":0.04917486,"about_ca_topic_score_gemma":0.07217079,"teacher_disagreement_score":0.04917486,"about_ca_system_score_codex":0.0005674652,"about_ca_system_score_gemma":0.00042537562,"threshold_uncertainty_score":0.09777725},"labels":[],"label_agreement":null},{"id":"W2126670593","doi":"10.1007/s10584-006-9068-8","title":"The Origins and Consequences of democratic citizens' Policy Agendas: A Study of Popular Concern about Global Warming","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":544,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Center for Advanced Study in the Behavioral Sciences, Stanford University; Electric Power Research Institute; Ohio State University; National Science Foundation","keywords":"Seriousness; Global warming; Certainty; Function (biology); Democracy; Psychology; Political science; Social psychology; Climate change; Politics; Law; Epistemology","score_opus":0.41459845713344057,"score_gpt":0.4701419130593249,"score_spread":0.05554345592588433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126670593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9051374,0.00024338458,0.0008150626,0.01815405,0.000043601594,0.000018946941,0.000027685592,0.0000066774983,0.07555325],"genre_scores_gemma":[0.99883884,0.00005621592,0.00007154489,0.00024233258,0.000010347478,0.000007715817,0.000006799931,0.0000061971614,0.0007599753],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9962209,0.0024737087,0.00006494177,0.0002033841,0.0003712129,0.0006658928],"domain_scores_gemma":[0.9713842,0.021148678,0.0035423262,0.0011267484,0.0014765909,0.0013214886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007057841,0.00016469944,0.00020677372,0.0016900339,0.009373062,0.008289799,0.0014504637,0.0039379406,0.0069787353],"category_scores_gemma":[0.026354773,0.00046282762,0.00022738999,0.002701893,0.016772132,0.0068158708,0.0035182724,0.0054169972,0.0002740567],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002326771,0.00042306297,0.0466358,0.00005531728,0.00002807466,0.00039592184,0.515907,0.00031051098,0.00052333926,0.42188615,0.0021007047,0.011501457],"study_design_scores_gemma":[0.00011745941,0.0001008614,0.12412466,0.00016854511,0.000043415042,0.00024237837,0.65543455,0.0022015274,0.00071384304,0.16405106,0.05274708,0.000054632554],"about_ca_topic_score_codex":0.01894142,"about_ca_topic_score_gemma":0.026590906,"teacher_disagreement_score":0.01894142,"about_ca_system_score_codex":0.0059701568,"about_ca_system_score_gemma":0.0040672645,"threshold_uncertainty_score":0.043316662},"labels":[],"label_agreement":null},{"id":"W2128774091","doi":"10.1007/s10584-009-9555-9","title":"Space-based assessment of glacier fluctuations in the Wakhan Pamir, Afghanistan","year":2009,"lang":"en","type":"article","venue":"Climatic Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Nebraska Omaha","keywords":"Glacier; Cirque glacier; Glacier mass balance; Glacier terminus; Geology; Orographic lift; Glacier morphology; Climatology; Climate change; Physical geography; Tidewater glacier cycle; Accumulation zone; Cryosphere; Geomorphology; Precipitation; Ice stream; Geography; Meteorology; Oceanography; Sea ice","score_opus":0.06470432106613237,"score_gpt":0.29297410774821525,"score_spread":0.22826978668208286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128774091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933076,0.000022009166,0.000057175806,0.00002353853,0.0000021630667,0.0000041898365,0.00031143887,0.000004959409,0.00024391532],"genre_scores_gemma":[0.99915946,0.00002580633,0.00017660705,0.00000620799,0.0000032068153,0.000005629226,0.0005262516,0.0000011051008,0.00009571779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998417,0.0000475622,0.000011482796,0.000030071918,0.000028020007,0.000041139832],"domain_scores_gemma":[0.99977225,0.00004399838,0.000052511026,0.000016120921,0.00007444399,0.000040585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004298423,0.00027997544,0.00021564162,0.0014069069,0.0005696394,0.0006063334,0.00027855844,0.0002896868,0.00045235877],"category_scores_gemma":[0.000599763,0.00009535261,0.00023264445,0.0017770665,0.00023446175,0.0004103301,0.0003435236,0.00021131159,0.00010145003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007231691,0.00020101476,0.95575714,0.000038711165,0.0001623207,0.00035139095,0.00074084126,0.013281658,0.0042614643,0.00037624832,0.0005976749,0.023508381],"study_design_scores_gemma":[0.000023206085,0.00009804522,0.9822933,0.0000073014844,0.000039697767,0.00005616582,0.00094784715,0.015552706,0.00036841613,0.00006776339,0.0005368862,0.000008788452],"about_ca_topic_score_codex":0.12042489,"about_ca_topic_score_gemma":0.18138538,"teacher_disagreement_score":0.12042489,"about_ca_system_score_codex":0.0010429189,"about_ca_system_score_gemma":0.0007673326,"threshold_uncertainty_score":0.23944789},"labels":[],"label_agreement":null},{"id":"W2129212234","doi":"10.1007/s10584-006-9135-1","title":"Tree rings and climate for the last 680 years in Wulan area of northeastern Qinghai-Tibetan Plateau","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Institute of Botany, Chinese Academy of Sciences; Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences; National Science Foundation","keywords":"Plateau (mathematics); Precipitation; Dendrochronology; East Asian Monsoon; Physical geography; Climatology; Chronology; Monsoon; Spring (device); Proxy (statistics); Geography; Climate change; Period (music); Loess plateau; Environmental science; Geology; Archaeology; Oceanography; Meteorology","score_opus":0.05192722377502615,"score_gpt":0.2605587069113912,"score_spread":0.20863148313636506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129212234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996333,0.0000514864,0.000015365775,0.000025711708,0.0000029358189,7.799574e-7,0.0001874616,0.0000016202993,0.00008127162],"genre_scores_gemma":[0.9995492,0.000024039606,0.00001199838,0.00000924657,0.000004772603,0.0000017758814,0.0002691103,6.429792e-7,0.00012919099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998759,0.00002528395,0.000009139843,0.000034023145,0.000012086404,0.00004352988],"domain_scores_gemma":[0.99957675,0.00005260802,0.0001562804,0.000019241,0.000061885265,0.00013325772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045927352,0.00018473189,0.00015911872,0.0006041333,0.0004023199,0.00033996475,0.0002531127,0.00031316202,0.00081550464],"category_scores_gemma":[0.00047707584,0.00012436688,0.00025439204,0.00076938025,0.00021896615,0.0003353848,0.00021489244,0.00023970741,0.00009493906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062919506,0.000016383647,0.9970625,0.000008564354,0.00007197114,0.000086396256,0.0006260936,0.00016613958,0.0005514909,0.000027550299,0.00017618683,0.0011437248],"study_design_scores_gemma":[0.0000012575714,0.000010184314,0.9994894,0.0000010482361,0.000009271075,0.000016848777,0.00021473465,0.00015856464,0.000013431542,0.000004680937,0.000079279635,0.0000013916105],"about_ca_topic_score_codex":0.0668182,"about_ca_topic_score_gemma":0.15763249,"teacher_disagreement_score":0.0668182,"about_ca_system_score_codex":0.00057553663,"about_ca_system_score_gemma":0.00040206857,"threshold_uncertainty_score":0.13285857},"labels":[],"label_agreement":null},{"id":"W2129789958","doi":"10.1023/a:1012579107129","title":"Regeneration in Gap Models: Priority Issues for Studying Forest Responses to Climate Change","year":2001,"lang":"en","type":"article","venue":"Climatic Change","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Seed dispersal; Limiting; Biological dispersal; Herbivore; Vegetation (pathology); Climate change; Environmental science; Forest regeneration; Regeneration (biology); Ecology; Environmental resource management; Agroforestry; Biology","score_opus":0.1756773625261849,"score_gpt":0.3473052576058928,"score_spread":0.1716278950797079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129789958","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52012956,0.004320177,0.43923262,0.015614513,0.0005764574,0.00026000795,0.0011356529,0.00053600257,0.018195111],"genre_scores_gemma":[0.9467977,0.0016791528,0.04159987,0.0007182319,0.00045634466,0.000350588,0.00037522317,0.0003696931,0.007653308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99905366,0.00069634477,0.0000281982,0.00006922709,0.000054773795,0.00009778127],"domain_scores_gemma":[0.990292,0.007825901,0.0004116547,0.00031285576,0.00043630638,0.0007213037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005895024,0.00062465714,0.0018557045,0.00081664236,0.0020588113,0.0024860257,0.0035621673,0.0025578702,0.0046999357],"category_scores_gemma":[0.027637638,0.0006903404,0.0010420057,0.0011072266,0.0017988381,0.0064302864,0.002440411,0.0022636412,0.0002863614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013665749,0.000146563,0.006686882,0.00012514197,0.00006834807,0.000115823306,0.00023890083,0.885969,0.00042119448,0.09448775,0.002903883,0.008699876],"study_design_scores_gemma":[0.000026189742,0.000027232842,0.00041202584,0.00002585731,0.000022449265,0.00003356943,0.00024386827,0.92078435,0.000120734825,0.07724717,0.0010390974,0.000017340237],"about_ca_topic_score_codex":0.01754932,"about_ca_topic_score_gemma":0.025757285,"teacher_disagreement_score":0.01754932,"about_ca_system_score_codex":0.0013406784,"about_ca_system_score_gemma":0.0018716779,"threshold_uncertainty_score":0.034894288},"labels":[],"label_agreement":null},{"id":"W2131039235","doi":"10.1007/s10584-010-9890-x","title":"Simulating the hydrological response to predicted climate change on a watershed in southern Alberta, Canada","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"Inyuvesi Yakwazulu-Natali; University of Lethbridge","keywords":"Downscaling; Streamflow; Environmental science; Climate change; Evapotranspiration; Snowmelt; Watershed; Baseline (sea); Climatology; Surface runoff; Climate model; Hydrology (agriculture); Drainage basin; Geography; Geology; Ecology","score_opus":0.025882835045044725,"score_gpt":0.23812614663669288,"score_spread":0.21224331159164816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131039235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974255,0.000040115032,0.00029182542,0.00017019932,0.000010301705,0.000018897243,0.00043057246,0.000051428957,0.001561116],"genre_scores_gemma":[0.9976306,0.000057221874,0.0006375148,0.0000337602,0.0000043506066,0.000010583116,0.00049201306,0.0000084841295,0.0011254173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979097,0.000029505603,0.000010664006,0.00004740673,0.00004348942,0.0000779896],"domain_scores_gemma":[0.9994573,0.00014917864,0.000032047585,0.00002525002,0.00018647581,0.00014981581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041898852,0.0005999809,0.00047178875,0.00058881164,0.0019778626,0.0014715153,0.0018267878,0.0015016304,0.0022915995],"category_scores_gemma":[0.0012113693,0.0004903021,0.00056689867,0.0012920247,0.0013618416,0.00046187898,0.00053806434,0.0009251883,0.00012812432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022986822,0.00026279554,0.046201,0.000027892642,0.0000656794,0.0002598,0.00012313912,0.94576466,0.0012317227,0.00063354056,0.00118569,0.004014233],"study_design_scores_gemma":[0.00015141499,0.00005136668,0.032895178,0.0000074478694,0.000038497634,0.000017198023,0.00047157783,0.9648585,0.000602626,0.00021395255,0.00066286017,0.000029527038],"about_ca_topic_score_codex":0.98214483,"about_ca_topic_score_gemma":0.983969,"teacher_disagreement_score":0.021102127,"about_ca_system_score_codex":0.021102127,"about_ca_system_score_gemma":0.017138314,"threshold_uncertainty_score":0.1531074},"labels":[],"label_agreement":null},{"id":"W2132212562","doi":"10.1007/s10584-015-1475-2","title":"The language of denial: text analysis reveals differences in language use between climate change proponents and skeptics","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Skepticism; Climate change; Denial; Scientific consensus; Climate science; Political science; Politics; Scientific evidence; Psychology; Positive economics; Linguistics; Global warming; Epistemology; Law; Economics; Philosophy","score_opus":0.6216971317575897,"score_gpt":0.46738132156323586,"score_spread":0.1543158101943538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132212562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862257,0.0002882782,0.0010094125,0.00170567,0.00004507336,0.000035838006,0.00039692636,0.000025210282,0.010267987],"genre_scores_gemma":[0.9980081,0.00016787433,0.00045279408,0.00022131849,0.000060895916,0.000040821364,0.0002913942,0.000045271743,0.0007116094],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99157,0.0046801427,0.00067064725,0.0005517436,0.0021473211,0.0003801322],"domain_scores_gemma":[0.78237695,0.18039334,0.022664541,0.0028578949,0.009876531,0.0018307472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007873074,0.00025072356,0.0003516955,0.003884268,0.0016254537,0.0034495152,0.0006833493,0.00085241115,0.005526318],"category_scores_gemma":[0.10171438,0.0002018011,0.0002169243,0.0029936258,0.002363079,0.005385224,0.00242585,0.0015119079,0.00088636635],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009455485,0.00017191331,0.17454915,0.0009263624,0.00008410625,0.00085358,0.73890656,0.00014904415,0.01154543,0.01057869,0.0047616092,0.056527946],"study_design_scores_gemma":[0.00007207505,0.00021325955,0.38295013,0.00086020643,0.0001544062,0.0014232824,0.56333274,0.003088248,0.0052927225,0.012504092,0.029961646,0.00014715389],"about_ca_topic_score_codex":0.0014578882,"about_ca_topic_score_gemma":0.001044285,"teacher_disagreement_score":0.007873074,"about_ca_system_score_codex":0.0009846105,"about_ca_system_score_gemma":0.00086714275,"threshold_uncertainty_score":0.0416373},"labels":[],"label_agreement":null},{"id":"W2132809245","doi":"10.1023/a:1026075919710","title":"Climate Change and People-Caused Forest Fire Occurrence in Ontario","year":2003,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":202,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Natural Resources Canada; Canadian Forest Service","funders":"Met Office","keywords":"HadCM3; Environmental science; Climate change; Taiga; Greenhouse gas; Precipitation; Climatology; Climate model; Atmospheric sciences; Atmosphere (unit); Boreal; Meteorology; GCM transcription factors; General Circulation Model; Geography; Forestry; Ecology","score_opus":0.047345433284468726,"score_gpt":0.23567749167881216,"score_spread":0.18833205839434344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132809245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945692,0.00021296919,0.000051073523,0.00046397388,0.000011698937,0.000016332659,0.0013217279,0.000004270123,0.0033487778],"genre_scores_gemma":[0.99505854,0.0002829032,0.00005979601,0.00006783469,0.0000074726154,0.000013419727,0.00041263967,0.00000482674,0.0040925383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996439,0.00003846351,0.000025490146,0.000044157165,0.000089868416,0.00015813169],"domain_scores_gemma":[0.99818254,0.00018782416,0.0004886632,0.000055901448,0.0005143586,0.00057064986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034547085,0.0001223315,0.00025028313,0.0007593163,0.0031140873,0.000886711,0.00058800576,0.00036634936,0.0034555],"category_scores_gemma":[0.0020304816,0.0003026697,0.00041614485,0.0017097815,0.0007216983,0.00044601256,0.00080417906,0.00054479844,0.00021143955],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001693004,0.00003133356,0.9904389,0.00003842313,0.00005625665,0.00024120107,0.0038260415,0.00034378743,0.00030407187,0.00022273354,0.0013044206,0.0030235827],"study_design_scores_gemma":[0.00000905948,0.000009375109,0.99497104,0.000011454201,0.000015696132,0.00004636258,0.0028342663,0.00016806547,0.00005383557,0.00004073317,0.0018328356,0.000007117612],"about_ca_topic_score_codex":0.99362695,"about_ca_topic_score_gemma":0.99894947,"teacher_disagreement_score":0.027011681,"about_ca_system_score_codex":0.027011681,"about_ca_system_score_gemma":0.018772846,"threshold_uncertainty_score":0.19598436},"labels":[],"label_agreement":null},{"id":"W2133866400","doi":"10.1007/s10584-009-9656-5","title":"Assessment of community preference rankings of potential environmental effects of climate change using the method of paired comparisons","year":2009,"lang":"en","type":"article","venue":"Climatic Change","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Recreation; Wildlife; Geography; Climate change; Preference; Population; Environmental resource management; Environmental protection; Socioeconomics; Environmental science; Ecology; Demography; Biology","score_opus":0.07796476558127963,"score_gpt":0.3443602646672985,"score_spread":0.2663954990860189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133866400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8964712,0.00013118652,0.0958488,0.00008342811,0.00015452346,0.0004438757,0.000993163,0.00018436821,0.0056894007],"genre_scores_gemma":[0.9241039,0.000047018268,0.07380043,0.000030349285,0.000028707092,0.00059279235,0.0007017092,0.00003213006,0.00066286593],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9843345,0.011249083,0.0006920933,0.0009482488,0.0023281944,0.00044784538],"domain_scores_gemma":[0.9599806,0.03298407,0.0012500468,0.0024265025,0.002572457,0.0007863082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013440496,0.0005641873,0.0010579898,0.0026974857,0.0011376396,0.0011995975,0.00095341087,0.0006695176,0.0077882004],"category_scores_gemma":[0.046060324,0.00027078955,0.0011032684,0.0014799413,0.0009902786,0.0015245685,0.0018059812,0.0014079644,0.00036177662],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.036158815,0.0045554806,0.19527593,0.0018773779,0.00491548,0.00061364355,0.005781625,0.01580807,0.06544001,0.016773086,0.0059692618,0.6468312],"study_design_scores_gemma":[0.0018661851,0.040523395,0.60487014,0.00022165713,0.0018087893,0.0022427123,0.019205304,0.18902864,0.049737845,0.078877814,0.010959077,0.0006584284],"about_ca_topic_score_codex":0.0006237214,"about_ca_topic_score_gemma":0.0018175298,"teacher_disagreement_score":0.013440496,"about_ca_system_score_codex":0.0005144022,"about_ca_system_score_gemma":0.0005373178,"threshold_uncertainty_score":0.07108098},"labels":[],"label_agreement":null},{"id":"W2134920032","doi":"10.1007/s10584-005-9025-y","title":"Elicitation of Expert Judgments of Aerosol Forcing","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Aerosol; Forcing (mathematics); Radiative forcing; Environmental science; Atmospheric sciences; Atmosphere (unit); Cloud forcing; Climatology; Meteorology; Physics; Geology","score_opus":0.02674851925218357,"score_gpt":0.24913785405967964,"score_spread":0.22238933480749606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134920032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9490187,0.00039136733,0.033112418,0.0010163637,0.000072698844,0.00043920483,0.00096733123,0.0002311319,0.014750687],"genre_scores_gemma":[0.97540605,0.00016776544,0.02192354,0.0003222708,0.000037869402,0.0002395178,0.0008858303,0.00001949164,0.0009977018],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99204046,0.0055071083,0.0006369073,0.00060531753,0.000917241,0.00029293334],"domain_scores_gemma":[0.86259615,0.12622498,0.003708794,0.0033115963,0.0035073992,0.0006510363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062942365,0.0007450574,0.0005095626,0.0006014982,0.0005654678,0.001186618,0.0007175027,0.0022404524,0.0064687002],"category_scores_gemma":[0.08715607,0.00025287896,0.00043366765,0.00049438194,0.00037589358,0.0011199089,0.0017186556,0.00084466254,0.0006514274],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.021266555,0.0038133706,0.13855255,0.007514245,0.0013016156,0.0040586693,0.039513394,0.069294475,0.15459783,0.012790874,0.025782596,0.52151394],"study_design_scores_gemma":[0.0029776746,0.0062456117,0.20145193,0.0016869433,0.0010661825,0.0030808353,0.020849638,0.5441897,0.11676498,0.04566363,0.055444602,0.0005783288],"about_ca_topic_score_codex":0.0016138979,"about_ca_topic_score_gemma":0.003537508,"teacher_disagreement_score":0.0064687002,"about_ca_system_score_codex":0.00064389146,"about_ca_system_score_gemma":0.0007876045,"threshold_uncertainty_score":0.033287525},"labels":[],"label_agreement":null},{"id":"W2135487421","doi":"10.1007/s10584-011-0220-8","title":"Changing growing season observed in Canada","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Agriculture and Agri-Food Canada","funders":"","keywords":"Growing season; Frost (temperature); Agriculture; Climate change; Environmental science; Climatology; Physical geography; Geography; Agricultural economics; Statistics; Meteorology; Mathematics; Economics; Agronomy; Ecology; Biology","score_opus":0.060533963612852244,"score_gpt":0.19711945064965963,"score_spread":0.1365854870368074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135487421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934748,0.00044763077,0.00009349934,0.00027227186,0.000014513613,0.000008880442,0.0035041831,0.00002079245,0.0021633287],"genre_scores_gemma":[0.99742424,0.00020493781,0.00008697663,0.00007341593,0.000005759178,0.000005165118,0.0013499131,0.000006626365,0.000842961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980325,0.000013577189,0.000008615089,0.00005275188,0.000042259217,0.000079580226],"domain_scores_gemma":[0.9987024,0.00010246572,0.00014685138,0.00004853621,0.0006665,0.00033335152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027917072,0.00014286357,0.0003318321,0.0011733371,0.0019850763,0.00085176725,0.00059466413,0.0003714497,0.0020956465],"category_scores_gemma":[0.00096111814,0.0001591078,0.00020369637,0.0029639066,0.00063143537,0.00026288067,0.00032327647,0.0003942444,0.00020053746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037420867,0.000056386925,0.9786436,0.0000670971,0.000096676966,0.00026346298,0.0021070144,0.00047951657,0.0061407713,0.00022385138,0.0030352701,0.008512097],"study_design_scores_gemma":[0.0000019563272,0.000003525021,0.9984162,0.0000029035327,0.000004463874,0.000019220182,0.00029828693,0.000098915174,0.00006694021,0.000007079637,0.0010771577,0.0000033870517],"about_ca_topic_score_codex":0.97966903,"about_ca_topic_score_gemma":0.9943652,"teacher_disagreement_score":0.020330966,"about_ca_system_score_codex":0.012187473,"about_ca_system_score_gemma":0.008885869,"threshold_uncertainty_score":0.08842665},"labels":[],"label_agreement":null},{"id":"W2136272225","doi":"10.1007/s10584-013-0750-3","title":"The trouble with deficits","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Environmental science","score_opus":0.1127151203410906,"score_gpt":0.3713442133228962,"score_spread":0.2586290929818056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136272225","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009961442,0.005098376,0.0014558126,0.8495557,0.0032747476,0.000016238655,0.00017829105,0.000106183004,0.13035326],"genre_scores_gemma":[0.48644754,0.013927799,0.004654156,0.39820856,0.009638506,0.00021627836,0.00040649303,0.00051405485,0.08598659],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99247783,0.0024639992,0.00031275133,0.00095354207,0.0018584544,0.00193345],"domain_scores_gemma":[0.97404456,0.008156806,0.0020249055,0.0042104246,0.005222557,0.006340737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012787858,0.00048195073,0.0009865311,0.002497962,0.009481789,0.008861948,0.0028605205,0.007456785,0.033918846],"category_scores_gemma":[0.052284986,0.00039399043,0.00047369424,0.0027302476,0.030644003,0.022829274,0.01610514,0.0148938075,0.004891996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045968136,0.00010368667,0.0048244516,0.00021385518,0.00005256083,0.00040574436,0.01540472,0.00017423369,0.00018230805,0.5458509,0.35576877,0.07697284],"study_design_scores_gemma":[0.00003454686,0.000021556021,0.003387348,0.00067601266,0.000016223412,0.0004576181,0.018382099,0.00012894571,0.0001251692,0.44663352,0.53010094,0.000036127953],"about_ca_topic_score_codex":0.028103726,"about_ca_topic_score_gemma":0.03876928,"teacher_disagreement_score":0.033918846,"about_ca_system_score_codex":0.004229326,"about_ca_system_score_gemma":0.0151762795,"threshold_uncertainty_score":0.1134699},"labels":[],"label_agreement":null},{"id":"W2137498457","doi":"10.1023/b:clim.0000018509.74228.03","title":"Global Warming and the Greenland Ice Sheet","year":2004,"lang":"en","type":"article","venue":"Climatic Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Greenland ice sheet; Future sea level; North Atlantic oscillation; Climatology; Ice sheet; Global warming; Groenlandia; Environmental science; Climate change; Ice-sheet model; Atmospheric temperature; Cryosphere; Ice stream; Oceanography; Geology; Sea ice","score_opus":0.049573032913342,"score_gpt":0.24329263838165402,"score_spread":0.19371960546831202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137498457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9305007,0.026542174,0.0002817266,0.014139911,0.000286555,0.000008653658,0.003992164,0.000036776273,0.02421133],"genre_scores_gemma":[0.98802394,0.0072721737,0.000111473004,0.0006951858,0.00013303048,0.0000027715225,0.0008986219,0.00001295071,0.0028498182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991846,0.000026256135,0.000004086942,0.000012685576,0.000011913507,0.000026592808],"domain_scores_gemma":[0.99958163,0.000104433646,0.00015519677,0.000027450636,0.00005268409,0.00007865732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043117587,0.00020094935,0.00013102581,0.001063375,0.00043708476,0.0011700378,0.00018437591,0.00046337504,0.0025487526],"category_scores_gemma":[0.0012601892,0.00007756828,0.00019138532,0.0023490954,0.001052904,0.0008221113,0.000594389,0.00033988294,0.0001337665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082951423,0.000096061485,0.8336097,0.00032138097,0.00040273395,0.000994687,0.0034729477,0.013662802,0.002181488,0.037892446,0.021206379,0.08532983],"study_design_scores_gemma":[0.0000108895565,0.00001604346,0.9627436,0.00007216944,0.00005232329,0.00005263448,0.0009605227,0.00056215154,0.00014469358,0.008708768,0.026665268,0.000010928092],"about_ca_topic_score_codex":0.2343042,"about_ca_topic_score_gemma":0.34476727,"teacher_disagreement_score":0.2343042,"about_ca_system_score_codex":0.0025888558,"about_ca_system_score_gemma":0.0018045754,"threshold_uncertainty_score":0.46588075},"labels":[],"label_agreement":null},{"id":"W2137627700","doi":"10.1007/s10584-012-0551-0","title":"Testing ensembles of climate change scenarios for “statistical significance”","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Impact","funders":"","keywords":"Climate change; Null hypothesis; Statistical hypothesis testing; Terminology; Robustness (evolution); Pooling; Alternative hypothesis; Certainty; Econometrics; Computer science; Context (archaeology); Statistics; Mathematics; Artificial intelligence; Geography; Ecology","score_opus":0.15675825455093217,"score_gpt":0.31281986927268357,"score_spread":0.1560616147217514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137627700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7786458,0.00048781984,0.21079916,0.0017632494,0.00027689297,0.00020489885,0.0017891966,0.0003015553,0.005731384],"genre_scores_gemma":[0.9784622,0.00010679823,0.0197437,0.00017013428,0.00008476771,0.00012778355,0.0012044107,0.000026510228,0.00007355326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9820854,0.012602807,0.00088889286,0.0017747679,0.0022376513,0.00041047987],"domain_scores_gemma":[0.8669252,0.114025354,0.0054455223,0.009495783,0.0031769902,0.0009313018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033662423,0.0007438138,0.0009848792,0.0023366862,0.00088300975,0.0026121084,0.0016029463,0.00147791,0.001820137],"category_scores_gemma":[0.13311933,0.00039656876,0.0020571512,0.0024299729,0.0021088999,0.0036248253,0.0021978312,0.0016688561,0.00014752528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025181214,0.00051573926,0.30340356,0.00041064963,0.006483222,0.00072730164,0.0014682189,0.4536044,0.003924787,0.1312887,0.004953314,0.09070199],"study_design_scores_gemma":[0.00021054831,0.001040446,0.05851092,0.00013507115,0.00064566056,0.0003442426,0.00094907125,0.79702336,0.003472032,0.13405222,0.0034742462,0.00014216335],"about_ca_topic_score_codex":0.001450206,"about_ca_topic_score_gemma":0.0012283348,"teacher_disagreement_score":0.033662423,"about_ca_system_score_codex":0.0008403651,"about_ca_system_score_gemma":0.0010472069,"threshold_uncertainty_score":0.17802602},"labels":[],"label_agreement":null},{"id":"W2141362144","doi":"10.1007/s10584-015-1342-1","title":"Modeling the impacts of climate change on nitrogen losses and crop yield in a subsurface drained field","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"DSSAT; Environmental science; Agronomy; Climate change; Cropping system; Relative humidity; Crop yield; Yield (engineering); Drainage; Crop; Crop rotation; Atmospheric sciences; Meteorology; Biology; Ecology; Geography","score_opus":0.11689945641847457,"score_gpt":0.27465808239270784,"score_spread":0.15775862597423326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141362144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99811894,0.000024592338,0.0009154205,0.00007634515,0.0000057900565,0.000006720517,0.00015373921,0.000017913946,0.0006804933],"genre_scores_gemma":[0.9986242,0.000029290888,0.0005724084,0.000012132628,0.000002821188,0.000008287292,0.000095557094,0.000004559256,0.0006507206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999156,0.000017997834,0.0000034134036,0.000032282634,0.0000053946505,0.000025281748],"domain_scores_gemma":[0.99959034,0.000260317,0.00003761229,0.000014046284,0.00003597965,0.00006167477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003717154,0.0004895621,0.00045484654,0.00027870535,0.00046825156,0.000778228,0.00089193083,0.0012482675,0.0017437207],"category_scores_gemma":[0.0007099552,0.00047689892,0.0004899937,0.0004166305,0.0007501713,0.00075191515,0.0003460668,0.0007237442,0.00007489463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011915167,0.00010292128,0.00700482,0.000011533349,0.000016784554,0.000051242147,0.00001303269,0.9902886,0.0014083914,0.00021421768,0.00007901949,0.00069016183],"study_design_scores_gemma":[0.00004238364,0.00004945316,0.0032168312,0.0000013129845,0.000012760269,0.0000055757873,0.000036910144,0.996099,0.00026406717,0.00020480804,0.000059855225,0.0000070444644],"about_ca_topic_score_codex":0.12282446,"about_ca_topic_score_gemma":0.10872897,"teacher_disagreement_score":0.12282446,"about_ca_system_score_codex":0.0021108906,"about_ca_system_score_gemma":0.001323884,"threshold_uncertainty_score":0.24421906},"labels":[],"label_agreement":null},{"id":"W2141610684","doi":"10.1007/s10584-010-9870-1","title":"Glacier recession and human vulnerability in the Yanamarey watershed of the Cordillera Blanca, Peru","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":190,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"University of California, Santa Cruz; National Aeronautics and Space Administration; National Geographic Society; National Science Foundation","keywords":"Glacier; Livelihood; Climate change; Watershed; Precipitation; Vulnerability (computing); Drainage basin; Geography; Physical geography; Environmental science; Water resources; Hydrology (agriculture); Climatology; Geology; Ecology; Oceanography; Meteorology; Cartography; Agriculture","score_opus":0.05266879993093949,"score_gpt":0.2677351004566016,"score_spread":0.2150663005256621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141610684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99961615,0.00004696038,0.000010585365,0.000037825783,2.8011948e-7,0.0000035811177,0.000037546924,0.0000010005582,0.00024603674],"genre_scores_gemma":[0.99976224,0.00007018658,0.000019065295,0.000007076293,0.0000011221337,0.000005789399,0.00006576827,4.6797118e-7,0.00006833225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998574,0.00005410192,0.000005971049,0.000021807575,0.000020587815,0.00004008859],"domain_scores_gemma":[0.99960107,0.000079403966,0.0001698858,0.000018524504,0.00006027959,0.000070823524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002173916,0.00017037657,0.00013542738,0.000677283,0.000655841,0.0005693386,0.00024449447,0.00030253985,0.00091964344],"category_scores_gemma":[0.001313114,0.00011973755,0.00011323352,0.0010991032,0.0006153091,0.00036645329,0.00084210007,0.00023893321,0.000054712895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038431594,0.000041406507,0.99401,0.000015234536,0.000034728226,0.00031679586,0.0024294911,0.00018618816,0.00040610458,0.000073250354,0.0001191261,0.0023292596],"study_design_scores_gemma":[0.000002138294,0.000019221203,0.99766016,0.0000046312234,0.000006193604,0.00007925644,0.0018469151,0.00018985634,0.000023654482,0.000023378476,0.00014282344,0.0000017879015],"about_ca_topic_score_codex":0.14259182,"about_ca_topic_score_gemma":0.22457246,"teacher_disagreement_score":0.14259182,"about_ca_system_score_codex":0.0011555408,"about_ca_system_score_gemma":0.0005267034,"threshold_uncertainty_score":0.28352374},"labels":[],"label_agreement":null},{"id":"W2144524159","doi":"10.1007/s10584-010-0016-2","title":"Extensive glaciers in northwest North America during Medieval time","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Glacier; Teleconnection; Precipitation; Climatology; Period (music); Little ice age; Climate change; Southern oscillation; North Atlantic oscillation; Geology; Geography; El Niño Southern Oscillation; Physical geography; Oceanography; Meteorology","score_opus":0.047191409699740325,"score_gpt":0.22829956384916467,"score_spread":0.18110815414942433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144524159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99940765,0.000094845695,0.000012987212,0.0000662093,0.0000038432217,0.0000013223593,0.00012632707,0.0000014373443,0.00028545017],"genre_scores_gemma":[0.99940884,0.00010406656,0.000024995916,0.000026624972,0.00000782651,0.000002516419,0.00021743533,0.0000011379823,0.00020642883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988806,0.000020413016,0.000007888577,0.00003559927,0.000014638738,0.00003338818],"domain_scores_gemma":[0.9995499,0.00007068482,0.00017127233,0.000033914268,0.00006912759,0.00010514946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029118927,0.00015570714,0.00021591461,0.0005430132,0.0007850347,0.0006566028,0.00026238488,0.00035352484,0.0012649015],"category_scores_gemma":[0.0008305811,0.00016563793,0.00013747835,0.00091264764,0.0005773178,0.00064394856,0.0006957302,0.00036388988,0.00007653142],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000259067,0.00006031601,0.9873934,0.00003652871,0.00008731157,0.00015930999,0.003725173,0.0004417593,0.0028504475,0.00015258708,0.00036451296,0.0044696303],"study_design_scores_gemma":[0.000001994287,0.000005617926,0.9985012,0.0000027516119,0.000006002575,0.000017546403,0.0010438067,0.00005877951,0.000041358642,0.000019643827,0.00029993863,0.0000013752216],"about_ca_topic_score_codex":0.0819746,"about_ca_topic_score_gemma":0.37535068,"teacher_disagreement_score":0.9180254,"about_ca_system_score_codex":0.0007813668,"about_ca_system_score_gemma":0.00050977763,"threshold_uncertainty_score":0.16299492},"labels":[],"label_agreement":null},{"id":"W2144775217","doi":"10.1007/s10584-004-0710-z","title":"Farm-Level Adaptation to Climatic Variability and Change: Crop Diversification in the Canadian Prairies","year":2004,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":454,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University; Government of Canada","keywords":"Diversification (marketing strategy); Climate change; Agricultural diversification; Cropping; Adaptation (eye); Agriculture; Environmental resource management; Variety (cybernetics); Natural resource economics; Geography; Environmental science; Business; Ecology; Economics; Computer science; Biology","score_opus":0.21769481914508068,"score_gpt":0.2883359641201275,"score_spread":0.07064114497504684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144775217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989969,0.00014600503,0.000063387975,0.00009217664,0.0000011517357,0.0000055031715,0.00014790187,0.000001958477,0.0005449894],"genre_scores_gemma":[0.9991141,0.00014557011,0.00015169573,0.00002410626,0.0000011724662,0.0000034365364,0.00011577529,0.0000022764993,0.00044180764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995716,0.000048484682,0.000011808539,0.000108430555,0.00007718073,0.00018243495],"domain_scores_gemma":[0.99912924,0.00009853853,0.00015039626,0.00005953204,0.0003222289,0.00024006634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069185795,0.00015766581,0.00034045076,0.0011420383,0.0022412029,0.0010969046,0.0010929154,0.00045547783,0.0013570891],"category_scores_gemma":[0.0016253322,0.00023512909,0.0002894996,0.0027500247,0.0013333516,0.0005939827,0.00077249075,0.00049383513,0.000101572],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021010885,0.000062576495,0.9688093,0.00004521863,0.00012742919,0.00020119845,0.005615503,0.0013553705,0.004597645,0.0006751407,0.0006572762,0.017643226],"study_design_scores_gemma":[0.0000016317714,0.000004078528,0.9984681,0.0000024300177,0.000003915383,0.000016324399,0.00087742216,0.00029446295,0.000022052962,0.000027850743,0.00027687306,0.000004790726],"about_ca_topic_score_codex":0.9874206,"about_ca_topic_score_gemma":0.9972083,"teacher_disagreement_score":0.015000502,"about_ca_system_score_codex":0.015000502,"about_ca_system_score_gemma":0.011464148,"threshold_uncertainty_score":0.10883677},"labels":[],"label_agreement":null},{"id":"W2149814081","doi":"10.1007/s10584-005-5935-y","title":"Future Area Burned in Canada","year":2005,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":892,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Environmental science; Vegetation (pathology); Climatology; Climate change; Physical geography; Geography; Ecology; Geology","score_opus":0.01642578420072604,"score_gpt":0.2018065303868205,"score_spread":0.18538074618609446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149814081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95908606,0.0033208781,0.0002090049,0.002939877,0.00020935679,0.000020644158,0.020779176,0.00005192763,0.0133831715],"genre_scores_gemma":[0.9797269,0.0018412839,0.0002021176,0.00031796805,0.000052743126,0.000010186045,0.006847642,0.000014827633,0.010986346],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959344,0.000022781096,0.000021310718,0.000054932632,0.000109032495,0.0001985295],"domain_scores_gemma":[0.99869126,0.00004169366,0.00012319892,0.000022661035,0.00070937275,0.00041185855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003392777,0.00022261387,0.00031430848,0.0015061881,0.00218308,0.00137645,0.0008007509,0.0007454296,0.006198862],"category_scores_gemma":[0.0011884962,0.00019057115,0.000549248,0.0027900666,0.00042469875,0.0007238097,0.0005491695,0.0011201313,0.00040053338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034762357,0.000053277072,0.9513876,0.000143424,0.00018934424,0.0005802872,0.00087124604,0.0035058316,0.0004007928,0.001828826,0.019960137,0.020731727],"study_design_scores_gemma":[0.000021082291,0.0000135269765,0.97703576,0.00006847725,0.000063582185,0.0003175961,0.0021633308,0.0026754441,0.00010934935,0.0002332617,0.017281735,0.000016899241],"about_ca_topic_score_codex":0.9932288,"about_ca_topic_score_gemma":0.9978732,"teacher_disagreement_score":0.026492486,"about_ca_system_score_codex":0.026492486,"about_ca_system_score_gemma":0.024255041,"threshold_uncertainty_score":0.19221735},"labels":[],"label_agreement":null},{"id":"W2161526633","doi":"10.1007/s10584-012-0476-7","title":"Time series data for Canadian arctic vertebrates: IPY contributions to science, management, and policy","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Acadia University; Carleton University; Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Canada Research Chairs; University of Alberta; ArcticNet; University of Ottawa","keywords":"Context (archaeology); Arctic; Population; Geography; Ecology; Biology","score_opus":0.06225934898863709,"score_gpt":0.31744958422504926,"score_spread":0.25519023523641216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161526633","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16502681,0.046358507,0.09231625,0.13374369,0.0037632764,0.0010357853,0.3760753,0.0016784252,0.18000202],"genre_scores_gemma":[0.7724767,0.03944068,0.07365525,0.005008413,0.0016846431,0.0006046685,0.09083656,0.00033461186,0.01595844],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99331844,0.0016400971,0.0005509293,0.00052530173,0.0035080013,0.0004572507],"domain_scores_gemma":[0.9433394,0.011539514,0.0052784984,0.00283862,0.035189506,0.0018144657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012856295,0.00059634726,0.0005058595,0.010120026,0.002237853,0.005160923,0.0016283155,0.00067256304,0.004834631],"category_scores_gemma":[0.0459522,0.0002658944,0.0006579075,0.024479618,0.001141034,0.0018541215,0.0017557155,0.001317205,0.0003771533],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024488592,0.00013644352,0.30344403,0.0018955469,0.00073373143,0.00017177229,0.0012499841,0.037401076,0.00084500754,0.09676904,0.17788482,0.3792237],"study_design_scores_gemma":[0.00003780181,0.000075903394,0.4036458,0.002742843,0.0003648175,0.00006434175,0.0035418454,0.064538136,0.0014651903,0.024987813,0.49829826,0.00023726541],"about_ca_topic_score_codex":0.9724462,"about_ca_topic_score_gemma":0.95872843,"teacher_disagreement_score":0.03732284,"about_ca_system_score_codex":0.03732284,"about_ca_system_score_gemma":0.061312445,"threshold_uncertainty_score":0.27079743},"labels":[],"label_agreement":null},{"id":"W2162026527","doi":"10.1023/a:1012537914881","title":"Comparing the Performance of Forest gap Models in North America","year":2001,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"U.S. Department of Energy; National Science Foundation","keywords":"Environmental science; Temperate climate; Temperate forest; Ecological succession; Taiga; Boreal; Biomass (ecology); Temperate rainforest; Climate change; Ecology; Precipitation; Forest ecology; Physical geography; Atmospheric sciences; Ecosystem; Geography; Biology; Meteorology; Geology","score_opus":0.058335499590387564,"score_gpt":0.2256601554078431,"score_spread":0.16732465581745554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162026527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99468356,0.00068649714,0.0014076746,0.0004405552,0.00003940941,0.000010054388,0.00042744607,0.00023739689,0.0020674556],"genre_scores_gemma":[0.9976858,0.0002173436,0.0009784928,0.00005537525,0.000015770194,0.000013782307,0.00053853757,0.000064845204,0.00043002775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933964,0.0003978274,0.000032362343,0.000110431705,0.000041789815,0.00007786976],"domain_scores_gemma":[0.9933183,0.0054062023,0.0002522684,0.00026501293,0.0004752204,0.00028304718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028287314,0.0008362254,0.000987741,0.0008055976,0.0007790364,0.0010890041,0.0011264221,0.0014301513,0.0010835346],"category_scores_gemma":[0.006294028,0.00044052204,0.0008001453,0.0009745836,0.00059952185,0.0015287203,0.000693275,0.00074526155,0.00018012775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004431586,0.00012282649,0.014928219,0.000052587406,0.00016485671,0.000027732793,0.000116578936,0.9761619,0.00021770054,0.0010477166,0.0010669128,0.0056498926],"study_design_scores_gemma":[0.00012025896,0.00010384197,0.008087369,0.000019155252,0.00008269858,0.000016643848,0.00024435992,0.9885661,0.0002922127,0.0018145223,0.0006287546,0.00002404498],"about_ca_topic_score_codex":0.14060657,"about_ca_topic_score_gemma":0.116807364,"teacher_disagreement_score":0.14060657,"about_ca_system_score_codex":0.002505021,"about_ca_system_score_gemma":0.0015471927,"threshold_uncertainty_score":0.2795763},"labels":[],"label_agreement":null},{"id":"W2163819598","doi":"10.1007/s10584-006-9093-7","title":"Context Matters: What Shapes Adaptation to Water Stress in the Okanagan?","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Water resources management and optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Context (archaeology); Adaptation (eye); Environmental resource management; Agriculture; Embeddedness; Process (computing); Business; Resource (disambiguation); Climate change; Environmental planning; Geography; Computer science; Economics; Ecology; Sociology; Psychology; Social science","score_opus":0.030944744664058006,"score_gpt":0.2068108032519206,"score_spread":0.1758660585878626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163819598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99169284,0.00032536668,0.00042324627,0.0014743331,0.000022780669,0.000004514452,0.000103099854,0.00000622121,0.005947648],"genre_scores_gemma":[0.99933904,0.00013305109,0.00011253498,0.00009684926,0.0000053651656,0.0000020954262,0.00003135551,0.0000064229284,0.0002733436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996774,0.00008716363,0.000008230539,0.00008208077,0.000020315796,0.0001248284],"domain_scores_gemma":[0.9994272,0.00013323984,0.00013396928,0.000035681438,0.00007858579,0.00019140956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039651507,0.00018523583,0.00039164882,0.00026420233,0.001038224,0.00245951,0.0004177791,0.000718335,0.0023378646],"category_scores_gemma":[0.0015690245,0.0002464064,0.00023732938,0.00048531307,0.0011900748,0.0011770513,0.0010728759,0.00063585234,0.00016506182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010378007,0.000276885,0.9031428,0.00020486512,0.00036217566,0.0008354278,0.011119137,0.006079313,0.025004648,0.015379099,0.0033368496,0.033221174],"study_design_scores_gemma":[0.000008757842,0.00004891809,0.97609496,0.00002954033,0.000059782527,0.00006239129,0.012806026,0.0019416683,0.0005292351,0.0050047566,0.0033814537,0.000032575626],"about_ca_topic_score_codex":0.053639628,"about_ca_topic_score_gemma":0.17332081,"teacher_disagreement_score":0.94636035,"about_ca_system_score_codex":0.0019699493,"about_ca_system_score_gemma":0.0013965885,"threshold_uncertainty_score":0.10665482},"labels":[],"label_agreement":null},{"id":"W2164252939","doi":"10.1007/s10584-014-1191-3","title":"Near-term prediction of impact-relevant extreme temperature indices","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK; Met Office; Department for Environment, Food and Rural Affairs, UK Government; Ministère de la Santé et des Services sociaux","keywords":"Predictability; Climatology; Forcing (mathematics); Environmental science; Mediterranean climate; Forecast skill; Term (time); Greenhouse gas; Mean radiant temperature; Work (physics); Climate change; Statistics; Mathematics; Geography; Geology","score_opus":0.05615856274493377,"score_gpt":0.26233735489478943,"score_spread":0.20617879214985566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164252939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864114,0.0000805517,0.010968971,0.000100037905,0.000023544942,0.000009668937,0.00035300662,0.00015571484,0.0018971642],"genre_scores_gemma":[0.9985292,0.000020092575,0.0009691195,0.000007717494,0.000004575156,0.0000030084198,0.00030969988,0.000008981268,0.00014770452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985564,0.000039118844,0.000010928519,0.00004991824,0.000022687347,0.00002169457],"domain_scores_gemma":[0.9992079,0.00039316848,0.00011661685,0.00008600181,0.000120949815,0.000075466036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082077994,0.0002586088,0.00031377852,0.00025260763,0.00013967509,0.00051802344,0.00037053705,0.00047074768,0.00064350583],"category_scores_gemma":[0.0028542776,0.00015851691,0.0003356063,0.00023173743,0.0001595353,0.00054369477,0.00036380088,0.00047342904,0.00014684138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011509783,0.000064789165,0.11660509,0.000027268401,0.00009563957,0.00009095494,0.000064338084,0.8671735,0.0030700383,0.0007303825,0.0005461464,0.011416806],"study_design_scores_gemma":[0.000008517114,0.000051005354,0.09029444,0.000008102562,0.000012119467,0.000025693984,0.000028642726,0.9070526,0.0013525699,0.0008556501,0.00029744903,0.00001320478],"about_ca_topic_score_codex":0.009349802,"about_ca_topic_score_gemma":0.009074458,"teacher_disagreement_score":0.009349802,"about_ca_system_score_codex":0.00030792854,"about_ca_system_score_gemma":0.00038196056,"threshold_uncertainty_score":0.018590748},"labels":[],"label_agreement":null},{"id":"W2165130294","doi":"10.1007/s10584-015-1348-8","title":"Present and future Laurentian Great Lakes hydroclimatic conditions as simulated by regional climate models with an emphasis on Lake Michigan-Huron","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Ouranos","funders":"National Oceanic and Atmospheric Administration","keywords":"Environmental science; Climate change; Precipitation; Climatology; Climate model; Surface runoff; Greenhouse gas; Structural basin; Water cycle; Maxima and minima; Drainage basin; Atmospheric sciences; Meteorology; Geography; Geology; Ecology; Oceanography","score_opus":0.042369549660661976,"score_gpt":0.2663521229884513,"score_spread":0.2239825733277893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165130294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99792635,0.00002908937,0.00030113928,0.000100551704,0.0000039942784,0.00000231213,0.00064586697,0.000031068827,0.0009595237],"genre_scores_gemma":[0.99815625,0.00004316362,0.00058200053,0.000017325743,0.0000044054987,0.000008065653,0.0008015278,0.000010046017,0.0003772468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993455,0.000019893494,0.0000031073316,0.000021654236,0.000011235173,0.000009648973],"domain_scores_gemma":[0.99986994,0.00003052334,0.000032025488,0.000018474328,0.000027320217,0.00002170585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027471752,0.00023516899,0.00013339597,0.0002120693,0.0002548256,0.00048647352,0.00026863904,0.00026877353,0.00073133124],"category_scores_gemma":[0.000657565,0.0001553438,0.00029785308,0.0002891625,0.00016292428,0.0003604546,0.00022494809,0.00021728364,0.0001073204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014064852,0.000050635783,0.2686524,0.00003144593,0.00024718317,0.00021732213,0.00018718463,0.7173828,0.0024941035,0.0010086516,0.0019320158,0.0076555526],"study_design_scores_gemma":[0.000059422666,0.00006509893,0.17883126,0.000012814411,0.00007385572,0.00005209787,0.00015684361,0.81676507,0.0010255235,0.0005337249,0.002392403,0.000031864773],"about_ca_topic_score_codex":0.061916757,"about_ca_topic_score_gemma":0.12500499,"teacher_disagreement_score":0.93808323,"about_ca_system_score_codex":0.0011600936,"about_ca_system_score_gemma":0.00058007427,"threshold_uncertainty_score":0.12311274},"labels":[],"label_agreement":null},{"id":"W2168967451","doi":"10.1007/s10584-005-9000-7","title":"Migration as an Adaptation to Climate Change","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":796,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Climate change; Vulnerability (computing); Flooding (psychology); Adaptive capacity; Adaptation (eye); Conceptual model; Population; Environmental resource management; Geography; Climate model; Environmental science; Climatology; Environmental planning; Computer science; Ecology; Geology; Sociology; Psychology; Demography; Biology","score_opus":0.22338391130554436,"score_gpt":0.3607691336969407,"score_spread":0.13738522239139633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168967451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7306887,0.017003944,0.013806022,0.08535398,0.0015566236,0.000067190274,0.0004201577,0.00017919131,0.15092419],"genre_scores_gemma":[0.9903189,0.004863531,0.0008659397,0.00077516877,0.0004641931,0.000011034719,0.000041452262,0.000005946101,0.0026538887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996251,0.0001851729,0.000018264169,0.000050245795,0.00004538758,0.00007582881],"domain_scores_gemma":[0.9992725,0.00022603356,0.0001916029,0.000054757274,0.00010479637,0.00015029922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086252316,0.00018327952,0.00021086074,0.0007185428,0.00079760083,0.0021698426,0.00033351683,0.0013234402,0.0034127645],"category_scores_gemma":[0.0017856949,0.00009848332,0.00026565598,0.0016623012,0.0027856564,0.0016213136,0.0010894907,0.001040266,0.00016773365],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022942288,0.00026780064,0.14012878,0.0006066476,0.00030128192,0.0012492196,0.009664569,0.020887828,0.0035792924,0.6988961,0.011503862,0.11268527],"study_design_scores_gemma":[0.00004846572,0.00028427757,0.37844828,0.00025340103,0.00015568854,0.0011893959,0.021090997,0.010314627,0.00037138292,0.46741775,0.12033318,0.00009247352],"about_ca_topic_score_codex":0.005493733,"about_ca_topic_score_gemma":0.008680367,"teacher_disagreement_score":0.005493733,"about_ca_system_score_codex":0.00078880956,"about_ca_system_score_gemma":0.0010373851,"threshold_uncertainty_score":0.011416793},"labels":[],"label_agreement":null},{"id":"W2170200711","doi":"10.1007/s10584-012-0610-6","title":"Toward a physically plausible upper bound of sea-level rise projections","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Pennsylvania State University; University of Victoria; National Science Foundation","keywords":"Upper and lower bounds; Environmental science; Parametric statistics; Future sea level; Climatology; Meteorology; Geology; Statistics; Mathematics; Sea ice; Physics","score_opus":0.18109369497664266,"score_gpt":0.3087062744258154,"score_spread":0.12761257944917273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170200711","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1470762,0.002750766,0.76661885,0.010629915,0.0005974496,0.00006742019,0.0021839903,0.0008620177,0.0692134],"genre_scores_gemma":[0.94905543,0.00067065743,0.046787336,0.0005889281,0.00029469375,0.00012730417,0.0005713547,0.00011911631,0.0017852163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857426,0.0008602395,0.000049631115,0.00019775634,0.00021762222,0.0001004651],"domain_scores_gemma":[0.99362504,0.005176907,0.00031567094,0.00044794852,0.00029625144,0.00013815759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034607404,0.00091605395,0.0010994755,0.0012387625,0.0010776083,0.0056765224,0.0020271218,0.0027610825,0.004177512],"category_scores_gemma":[0.019754203,0.00096524484,0.0009397213,0.001027063,0.0012629204,0.0040703774,0.0025362293,0.0042077187,0.00053784484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011783887,0.00004401251,0.0011373525,0.00007387739,0.00007658706,0.00013191576,0.00009890895,0.7738683,0.0008479695,0.21479905,0.0022746911,0.00652946],"study_design_scores_gemma":[0.000027678356,0.000019323712,0.0010563522,0.00008811377,0.00002276842,0.000030629406,0.00007009262,0.7238109,0.00044804695,0.27134728,0.0030524123,0.00002644434],"about_ca_topic_score_codex":0.0039935717,"about_ca_topic_score_gemma":0.0032180056,"teacher_disagreement_score":0.0056765224,"about_ca_system_score_codex":0.0010566526,"about_ca_system_score_gemma":0.0009867826,"threshold_uncertainty_score":0.018302321},"labels":[],"label_agreement":null},{"id":"W2170233181","doi":"10.1007/s10584-012-0588-0","title":"Well-being and environmental change in the arctic: a synthesis of selected research from Canada’s International Polar Year program","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; University of Alberta","funders":"","keywords":"Vulnerability (computing); Natural resource; Resource (disambiguation); Arctic; Environmental change; Climate change; Food security; Environmental resource management; Land use; Poverty; Geography; Environmental planning; Environmental protection; Ecology; Economic growth; Agriculture; Environmental science; Economics","score_opus":0.10806707252241123,"score_gpt":0.4022385975243842,"score_spread":0.29417152500197297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170233181","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10172809,0.8391164,0.0008510394,0.013084686,0.0011021374,0.00050685287,0.012210379,0.000023005032,0.031377472],"genre_scores_gemma":[0.2499894,0.73669785,0.0016583905,0.0027045284,0.00037176558,0.0006859718,0.0055080317,0.000037772013,0.0023462877],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963168,0.0009265987,0.00029910757,0.00034744735,0.0013204534,0.0007896225],"domain_scores_gemma":[0.9793714,0.009685061,0.0009756116,0.00030622765,0.008274158,0.0013875021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010128408,0.00088265474,0.0018795764,0.015682613,0.005972294,0.007497207,0.0012217887,0.0008817338,0.0034135578],"category_scores_gemma":[0.010246485,0.0004989445,0.0008949959,0.051049672,0.0031296322,0.0017182579,0.0025210045,0.0018614002,0.00019961032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037348736,0.0003156103,0.09950877,0.053456772,0.00085254613,0.00083690276,0.3091536,0.0008955849,0.00047776886,0.017424721,0.05858986,0.45811442],"study_design_scores_gemma":[0.000022133254,0.000119401935,0.42194533,0.07820756,0.0006680245,0.00019267859,0.22628206,0.00018586018,0.00028431602,0.0010851162,0.27088636,0.00012103705],"about_ca_topic_score_codex":0.97222316,"about_ca_topic_score_gemma":0.9901453,"teacher_disagreement_score":0.08643829,"about_ca_system_score_codex":0.08643829,"about_ca_system_score_gemma":0.1621141,"threshold_uncertainty_score":0.6271566},"labels":[],"label_agreement":null},{"id":"W2170881592","doi":"10.1023/a:1020299422491","title":"Landscape-Scale Analysis of Interactions between Insect Defoliation and Forest Fire in Central Canada","year":2002,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":141,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Natural Resources Canada; Ontario Forest Research Institute; Canadian Forest Service","funders":"","keywords":"Spruce budworm; Choristoneura fumiferana; Forestry; Geography; Physical geography; Environmental science; Ecology; Biology; Lepidoptera genitalia","score_opus":0.028257293707368618,"score_gpt":0.21928158611641022,"score_spread":0.1910242924090416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170881592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989478,0.00015124278,0.00005375552,0.000082779494,0.0000028571224,0.0000047414314,0.00036718385,0.0000055515748,0.00038406256],"genre_scores_gemma":[0.9990301,0.00008278158,0.0000876114,0.00002575893,0.00000202143,0.0000036584663,0.000314923,0.0000033668098,0.00044981972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995443,0.000099105644,0.000017909153,0.000078530575,0.000073554445,0.0001866333],"domain_scores_gemma":[0.99782556,0.0005279528,0.00021533079,0.00007764508,0.00071607163,0.0006373874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064825953,0.00025677058,0.00052672956,0.0011215755,0.0022090226,0.0015063938,0.0011037461,0.00049268577,0.0021753367],"category_scores_gemma":[0.0022067463,0.00031950042,0.0005781992,0.0025397239,0.0010870476,0.00033148366,0.0006193084,0.0005393205,0.00012928752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035186356,0.000110680885,0.98383164,0.000029206742,0.00035187832,0.00017656808,0.0006838757,0.0053202496,0.001496351,0.00043560957,0.0012244283,0.005987668],"study_design_scores_gemma":[0.000011890702,0.000014444199,0.9944729,0.0000060159346,0.000052669275,0.000026093529,0.0009643155,0.003794474,0.000065819644,0.00005766989,0.0005226316,0.00001099039],"about_ca_topic_score_codex":0.9936608,"about_ca_topic_score_gemma":0.9973937,"teacher_disagreement_score":0.023007909,"about_ca_system_score_codex":0.023007909,"about_ca_system_score_gemma":0.014010791,"threshold_uncertainty_score":0.16693485},"labels":[],"label_agreement":null},{"id":"W2173996957","doi":"10.1007/s10584-015-1541-9","title":"In silico evaluation of plant genetic resources to search for traits for adaptation to climate change","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Biodome; Concordia University; University of Saskatchewan","funders":"Consortium of International Agricultural Research Centers","keywords":"Adaptation (eye); Climate change; Trait; Agriculture; Environmental resource management; Ecology; Biology; Computer science; Environmental science","score_opus":0.24631754879001078,"score_gpt":0.35044056024785314,"score_spread":0.10412301145784236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173996957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94746107,0.00028074134,0.040649414,0.00024254835,0.00003540747,0.000083927574,0.0056979195,0.0028094917,0.0027395396],"genre_scores_gemma":[0.9141393,0.00015244728,0.073396094,0.00009134323,0.000013295046,0.00013602848,0.011275555,0.0002488673,0.0005471139],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961674,0.00019943381,0.000023422,0.00008957702,0.00003902507,0.00003181958],"domain_scores_gemma":[0.9965145,0.003073905,0.00010396476,0.00011622112,0.00010797951,0.00008353245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014601002,0.00080967136,0.00070639816,0.0010898048,0.00047010038,0.00081256527,0.0012277617,0.0006772307,0.0042027547],"category_scores_gemma":[0.0045554996,0.00039743507,0.001201687,0.0009806247,0.00029425268,0.00048178056,0.00042669286,0.00044023138,0.0005822179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031424928,0.0008554631,0.083010964,0.0011889297,0.0014741089,0.00096240925,0.00026608814,0.84541327,0.026716903,0.0039407425,0.0030492397,0.029979357],"study_design_scores_gemma":[0.00023370193,0.00023129664,0.004967841,0.000020883806,0.000331097,0.00012760508,0.000069241316,0.98660606,0.004685864,0.0014691423,0.0012405894,0.000016691245],"about_ca_topic_score_codex":0.0032995513,"about_ca_topic_score_gemma":0.00651639,"teacher_disagreement_score":0.0042027547,"about_ca_system_score_codex":0.0005769735,"about_ca_system_score_gemma":0.0009791096,"threshold_uncertainty_score":0.014059603},"labels":[],"label_agreement":null},{"id":"W2183179834","doi":"10.1007/s10584-015-1564-2","title":"Are human values and community participation key to climate adaptation? The case of community forest organisations in British Columbia","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adaptation (eye); Legitimacy; Adaptive capacity; Multidisciplinary approach; Adaptive strategies; Climate change; Environmental resource management; Politics; Political science; Sociology; Environmental planning; Public relations; Geography; Ecology; Economics; Psychology; Social science","score_opus":0.257125747821447,"score_gpt":0.3360121048495235,"score_spread":0.0788863570280765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183179834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9036242,0.00066796225,0.00019217838,0.020030804,0.00003151427,0.00004615242,0.000045662782,0.0000056556914,0.0753558],"genre_scores_gemma":[0.99475527,0.0001966794,0.000059497957,0.0007409077,0.000004491323,0.000011895983,0.000010087964,0.0000026017372,0.0042185243],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9947666,0.001558625,0.00006602652,0.00020436797,0.00035678048,0.0030474954],"domain_scores_gemma":[0.9871214,0.0050258753,0.000769099,0.0003353513,0.0019423208,0.004805906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036062817,0.0001846118,0.00040661206,0.0011866495,0.028664071,0.008426437,0.0022421062,0.003911417,0.008779017],"category_scores_gemma":[0.011010689,0.0002989005,0.00021845318,0.0025932242,0.010886512,0.0021678621,0.005298815,0.0047948943,0.0002782948],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005837675,0.0008102676,0.23788227,0.00026888988,0.00017413465,0.014001997,0.46489376,0.0029399367,0.0011909798,0.1836799,0.023990609,0.06958354],"study_design_scores_gemma":[0.0000984406,0.000048699574,0.13105555,0.00030751675,0.000096481366,0.00053055544,0.79914206,0.0016744656,0.00024018413,0.012546204,0.05417662,0.000083237835],"about_ca_topic_score_codex":0.965326,"about_ca_topic_score_gemma":0.98858994,"teacher_disagreement_score":0.046408404,"about_ca_system_score_codex":0.046408404,"about_ca_system_score_gemma":0.062316243,"threshold_uncertainty_score":0.33671808},"labels":[],"label_agreement":null},{"id":"W2184699602","doi":"10.1007/s10584-015-1569-x","title":"Predicting large wildfires across western North America by modeling seasonal variation in soil water balance","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Oregon State University; National Aeronautics and Space Administration","keywords":"Environmental science; Water balance; Transpiration; Moderate-resolution imaging spectroradiometer; Potential evaporation; Seasonality; Soil water; Climatology; Spatial variability; Vegetation (pathology); Fire regime; Physical geography; Hydrology (agriculture); Atmospheric sciences; Evaporation; Satellite; Geography; Meteorology; Ecology; Soil science; Ecosystem; Geology","score_opus":0.0254000193090251,"score_gpt":0.24939012009889633,"score_spread":0.22399010078987122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184699602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966133,0.00007499864,0.0016209353,0.00005824169,0.000009199333,0.0000064689107,0.0010786814,0.0001038304,0.00043434562],"genre_scores_gemma":[0.99704,0.000042473595,0.0015828303,0.000009284463,0.0000042287616,0.000007166831,0.0009663231,0.0000070688397,0.0003406533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995935,0.0000074893364,0.0000023242494,0.000021033129,0.0000034015,0.000006367111],"domain_scores_gemma":[0.99987054,0.000039703085,0.000028410988,0.000010744401,0.000029766397,0.000020877029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002559137,0.00036868293,0.00014907384,0.00027943728,0.0002491824,0.00035428468,0.00030843008,0.00034455414,0.0010692608],"category_scores_gemma":[0.00046398898,0.00023706771,0.0002599484,0.00041635672,0.000113310525,0.00031122944,0.00015538679,0.00027808239,0.00013603037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101712205,0.00015328967,0.27371532,0.000026298829,0.0001268807,0.00007846058,0.000059439204,0.709251,0.0009173343,0.00026982673,0.0020308485,0.013269583],"study_design_scores_gemma":[0.000019282119,0.00002493838,0.07503527,0.000004932385,0.000018184215,0.000016429276,0.00006766308,0.9239025,0.0001786233,0.00024827264,0.00047757832,0.000006279001],"about_ca_topic_score_codex":0.16698422,"about_ca_topic_score_gemma":0.3469313,"teacher_disagreement_score":0.8330158,"about_ca_system_score_codex":0.00058962085,"about_ca_system_score_gemma":0.00060231827,"threshold_uncertainty_score":0.3320245},"labels":[],"label_agreement":null},{"id":"W2284504664","doi":"10.1007/s10584-016-1632-2","title":"Attribution of the spring snow cover extent decline in the Northern Hemisphere, Eurasia and North America to anthropogenic influence","year":2016,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Pacific Institute for Climate Solutions; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Northern Hemisphere; Environmental science; Coupled model intercomparison project; Forcing (mathematics); Climate change; Climate system; Climate model; Snow; Data assimilation; Atmospheric sciences; Meteorology; Geography; Geology; Oceanography","score_opus":0.03768333233461606,"score_gpt":0.25869894847072,"score_spread":0.22101561613610393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284504664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99891996,0.00007939497,0.000098786964,0.000054599794,0.000005569789,0.0000027842718,0.00024155343,0.000009441419,0.0005879222],"genre_scores_gemma":[0.9994061,0.00007327425,0.000065446075,0.000010964603,0.0000069286757,0.0000027323292,0.00034258293,0.0000031641418,0.00008879335],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982685,0.00004365658,0.0000148847275,0.000059564973,0.000027787624,0.000027323365],"domain_scores_gemma":[0.9994029,0.00011944094,0.00021139224,0.00006745267,0.00011400329,0.00008484522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006355534,0.00018774103,0.00016036972,0.0006312807,0.00019989393,0.0005647686,0.00023816945,0.00022837971,0.00056750496],"category_scores_gemma":[0.0012688688,0.00012850853,0.00035493576,0.0007217409,0.00042427934,0.0003672554,0.00044019188,0.00016805045,0.00006789613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093507115,0.00002574658,0.98480123,0.00002418146,0.00012859007,0.00008900594,0.00015430692,0.006796793,0.0024358956,0.00016261465,0.00026298052,0.0050251847],"study_design_scores_gemma":[0.0000041328885,0.000013351437,0.99475527,0.000003615156,0.00001074315,0.000012620337,0.00011333752,0.0046196417,0.00013157907,0.000090614085,0.0002421088,0.0000029750142],"about_ca_topic_score_codex":0.03247831,"about_ca_topic_score_gemma":0.034487437,"teacher_disagreement_score":0.03247831,"about_ca_system_score_codex":0.0007545516,"about_ca_system_score_gemma":0.0004973462,"threshold_uncertainty_score":0.06457853},"labels":[],"label_agreement":null},{"id":"W2316816339","doi":"10.1007/s10584-016-1659-4","title":"Investigating the pace of temperature change and its implications over the twenty-first century","year":2016,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Direction Générale de l’Armement; Eidgenössische Technische Hochschule Zürich; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Agence Nationale de la Recherche","keywords":"Climate change; Environmental science; Climatology; Latitude; Population; Baseline (sea); Pace; Global warming; Representative Concentration Pathways; Climate model; Geography; Demography; Geology","score_opus":0.06868841708687298,"score_gpt":0.26758785517499534,"score_spread":0.19889943808812235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316816339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9510005,0.011339805,0.006098045,0.012392068,0.00040626212,0.000010848502,0.001769008,0.000050629642,0.016932813],"genre_scores_gemma":[0.99349505,0.0046132808,0.00057434785,0.00015677205,0.00009041561,0.0000042035595,0.00021569239,0.000015208966,0.0008350283],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998192,0.000058301797,0.000013247136,0.000048903632,0.000029958179,0.000030458636],"domain_scores_gemma":[0.99928963,0.00031154606,0.00020094449,0.000051506948,0.00009206245,0.00005419908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078988704,0.00023616487,0.00017951822,0.00062466256,0.00029327496,0.0017265042,0.00037539672,0.0006541942,0.0019736765],"category_scores_gemma":[0.0036172282,0.00017908704,0.00029883327,0.0023838456,0.0006210467,0.0014820442,0.000611257,0.00082846545,0.00013677565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048197087,0.00012324312,0.62188,0.0005101328,0.00062315335,0.000490889,0.0035226184,0.13739116,0.002724741,0.12977736,0.005748639,0.09672609],"study_design_scores_gemma":[0.000055353335,0.00014780286,0.6509492,0.00036211117,0.00031698457,0.00039967865,0.006650117,0.10674564,0.0016419564,0.13987356,0.09273974,0.000117787815],"about_ca_topic_score_codex":0.015879864,"about_ca_topic_score_gemma":0.021217648,"teacher_disagreement_score":0.015879864,"about_ca_system_score_codex":0.0010971304,"about_ca_system_score_gemma":0.00077860855,"threshold_uncertainty_score":0.031574905},"labels":[],"label_agreement":null},{"id":"W2404465255","doi":"10.1007/s10584-016-1699-9","title":"Adaptation readiness and adaptive capacity of transboundary river basins","year":2016,"lang":"en","type":"article","venue":"Climatic Change","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Adaptation (eye); Adaptive capacity; Preparedness; Environmental resource management; Drainage basin; Structural basin; Geography; Climate change; Climate change adaptation; Adaptive strategies; Environmental planning; Environmental science; Political science; Ecology; Geology; Cartography","score_opus":0.14167463813539163,"score_gpt":0.28642217007589305,"score_spread":0.1447475319405014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404465255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99809843,0.0000127847,0.00024121809,0.00004954855,6.230429e-7,0.0000030789272,0.000012874899,0.000002867233,0.001578553],"genre_scores_gemma":[0.999864,0.0000060566745,0.00003623339,0.0000037830055,5.470588e-7,0.0000027070828,0.000013981638,8.959943e-7,0.00007177538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995035,0.000231595,0.000029489805,0.00008520578,0.00003867046,0.0001114361],"domain_scores_gemma":[0.9970413,0.0012785674,0.0005749042,0.00030783805,0.0002660171,0.00053142797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108953,0.00013996426,0.0001879771,0.0009119258,0.0005248144,0.0014391416,0.00029617333,0.00044918674,0.0029126075],"category_scores_gemma":[0.006858956,0.00017535406,0.00028166806,0.0007672433,0.001229376,0.0011612301,0.0015155353,0.0005583966,0.0001318427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028621953,0.0003092664,0.94624037,0.000034808207,0.00024061679,0.0002526758,0.006923993,0.009715834,0.0049272776,0.017533256,0.0001969542,0.013338649],"study_design_scores_gemma":[0.000009132961,0.000087807,0.9752935,0.000014129672,0.00003481909,0.000085626416,0.006419177,0.005878527,0.00032498184,0.011336385,0.0004984816,0.000017441542],"about_ca_topic_score_codex":0.0040600197,"about_ca_topic_score_gemma":0.0050523942,"teacher_disagreement_score":0.0040600197,"about_ca_system_score_codex":0.00045552236,"about_ca_system_score_gemma":0.00048684582,"threshold_uncertainty_score":0.009743631},"labels":[],"label_agreement":null},{"id":"W245597936","doi":"10.1007/s10584-015-1420-4","title":"An adaptation index to high summer heat associated with adverse health impacts in deprived neighborhoods","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ouranos; Institut National de Santé Publique du Québec; Université Laval; Centre hospitalier universitaire de Québec; Institut National de la Recherche Scientifique","funders":"Ministère de la Santé; Ministère de la Santé et des Services sociaux; Institut National de Santé Publique du Québec","keywords":"Index (typography); Heat index; Disadvantaged; Thermal comfort; Environmental health; Adaptation (eye); Geography; Gerontology; Psychology; Environmental science; Medicine; Humidity; Meteorology; Economics; Economic growth","score_opus":0.16058408147595513,"score_gpt":0.3524150464253022,"score_spread":0.19183096494934707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W245597936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99847883,0.000032386746,0.00023754098,0.000015115556,0.0000025568288,0.000012556752,0.00017449669,0.0000066125153,0.0010399843],"genre_scores_gemma":[0.99947613,0.000018901274,0.00022712036,0.000004031585,0.0000024246106,0.000008616001,0.00017365713,0.000001265722,0.0000879169],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967706,0.0000885858,0.000038919196,0.000046423855,0.000101792,0.00004720806],"domain_scores_gemma":[0.9981839,0.00031778016,0.0007965891,0.00012927857,0.00034041924,0.00023205235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005331699,0.00016408983,0.00020380614,0.0010075389,0.00040339289,0.0004526954,0.00022617004,0.00016375737,0.0011300197],"category_scores_gemma":[0.0024974702,0.00008660083,0.00033238524,0.0010773995,0.00030224293,0.00019614505,0.0006467042,0.0002679057,0.0001008098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056759316,0.000026667813,0.99572796,0.000013691538,0.000037504567,0.000018495788,0.00023129804,0.00015404596,0.00023688134,0.000028443319,0.00010359847,0.0033645032],"study_design_scores_gemma":[4.7204657e-7,0.000015725758,0.99947256,0.0000015508604,0.000004597682,0.000017628096,0.00018304893,0.00015370594,0.000046689205,0.000016230255,0.00008600105,0.0000018761278],"about_ca_topic_score_codex":0.030832414,"about_ca_topic_score_gemma":0.048390113,"teacher_disagreement_score":0.030832414,"about_ca_system_score_codex":0.00057696854,"about_ca_system_score_gemma":0.00039927877,"threshold_uncertainty_score":0.06130588},"labels":[],"label_agreement":null},{"id":"W2510316439","doi":"10.1007/s10584-016-1790-2","title":"Projections of climate change impacts on central America tropical rainforest","year":2016,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; International Development Research Centre","keywords":"Biome; Primary production; Environmental science; Rainforest; Climate change; Vegetation (pathology); Tropics; Tropical vegetation; Precipitation; Biomass (ecology); Tropical rainforest; Deforestation (computer science); Agroforestry; Productivity; Ecosystem; Climatology; Geography; Ecology; Meteorology","score_opus":0.02902316251730198,"score_gpt":0.244055575331,"score_spread":0.21503241281369803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510316439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922495,0.00019355839,0.00088156544,0.0002093572,0.000025814012,0.000022064445,0.0029639397,0.00009387182,0.0033605061],"genre_scores_gemma":[0.99750394,0.00010818511,0.000779731,0.0000315272,0.000004897296,0.000022412638,0.001098255,0.00001093176,0.0004401579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982613,0.000055093442,0.00000795032,0.000034600675,0.000027394028,0.000048751845],"domain_scores_gemma":[0.9997266,0.000046552595,0.000042102394,0.000021825654,0.00010635842,0.00005664211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048128053,0.00086149765,0.00033610692,0.000577369,0.00041839128,0.00096937176,0.0006096453,0.00075164257,0.0015535946],"category_scores_gemma":[0.00049388927,0.00031387698,0.00076109805,0.00096072484,0.0002608516,0.00037769572,0.00041943294,0.00043799842,0.00015929148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023922967,0.000071033166,0.05027433,0.000082181505,0.00017884168,0.00033121312,0.0000742992,0.939343,0.0032896593,0.0012736061,0.0014661989,0.0033763605],"study_design_scores_gemma":[0.00024695543,0.00022618333,0.12060634,0.000068667294,0.0001846891,0.00011747012,0.00045933638,0.8680766,0.003104114,0.0017146362,0.005119908,0.00007509009],"about_ca_topic_score_codex":0.1432074,"about_ca_topic_score_gemma":0.09405377,"teacher_disagreement_score":0.1432074,"about_ca_system_score_codex":0.0021944854,"about_ca_system_score_gemma":0.0014787419,"threshold_uncertainty_score":0.28474766},"labels":[],"label_agreement":null},{"id":"W2520408203","doi":"10.1007/s10584-016-1799-6","title":"The role of boundary organizations in climate change adaptation from the perspective of municipal practitioners","year":2016,"lang":"en","type":"article","venue":"Climatic Change","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Adaptation (eye); Climate change adaptation; Corporate governance; Boundary spanning; Psychological resilience; Boundary (topology); Climate change; Scale (ratio); Environmental resource management; Perspective (graphical); Public relations; Political science; Environmental planning; Knowledge management; Business; Process management; Psychology; Geography; Economics; Computer science; Social psychology","score_opus":0.028549806665766456,"score_gpt":0.2597600285130446,"score_spread":0.23121022184727813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520408203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52890384,0.0026767317,0.017836548,0.17335111,0.0003812904,0.000075344346,0.000034411107,0.000045467907,0.27669525],"genre_scores_gemma":[0.9965389,0.00021297295,0.00052282755,0.0010630501,0.000033934084,0.000019517449,0.0000038017222,0.00000882931,0.0015961636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.98204744,0.0128565775,0.00029221515,0.0006437945,0.0010187154,0.0031412372],"domain_scores_gemma":[0.97457325,0.012543828,0.002040795,0.0011678344,0.0024215747,0.0072526727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017234901,0.00023517504,0.00034493243,0.0016308702,0.016858146,0.016697006,0.0017556439,0.007609369,0.0068471525],"category_scores_gemma":[0.026375312,0.0003674925,0.00033383272,0.0019725969,0.026956871,0.012777411,0.010715597,0.0058524543,0.00028724488],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003848632,0.000086611064,0.006938678,0.00005619381,0.000010762625,0.0003834858,0.14297709,0.00055516814,0.0002609548,0.836848,0.003358841,0.008485758],"study_design_scores_gemma":[0.00004787057,0.000078872334,0.006422251,0.00039305878,0.000022372598,0.00020589426,0.5628797,0.0025225044,0.00031950578,0.34061885,0.08645418,0.000034914476],"about_ca_topic_score_codex":0.016956259,"about_ca_topic_score_gemma":0.028115077,"teacher_disagreement_score":0.017234901,"about_ca_system_score_codex":0.010799523,"about_ca_system_score_gemma":0.023459991,"threshold_uncertainty_score":0.09114796},"labels":[],"label_agreement":null},{"id":"W2527939383","doi":"10.1007/s10584-016-1844-5","title":"An ensemble analysis of climate change impacts on streamflow seasonality across 11 large river basins","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":138,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Guelph","funders":"Bundesministerium für Bildung und Forschung","keywords":"Streamflow; Seasonality; Environmental science; Climate change; Climatology; Drainage basin; Range (aeronautics); Geography; Geology; Ecology; Oceanography","score_opus":0.06029621515468548,"score_gpt":0.3361468884123733,"score_spread":0.2758506732576878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527939383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754214,0.00004799958,0.0014323695,0.000050023697,0.000014396276,0.000005069154,0.00054539985,0.000045850335,0.0003166169],"genre_scores_gemma":[0.99715257,0.000043209013,0.0010106243,0.000014711238,0.000009847877,0.000012752454,0.0015614801,0.000012130216,0.00018257964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959666,0.00012175969,0.000029517849,0.00013170611,0.000052717445,0.000067660854],"domain_scores_gemma":[0.9989975,0.00039802128,0.00008955799,0.00021311353,0.00020638107,0.0000954345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012201129,0.0004332549,0.00078748993,0.0006240413,0.0005948138,0.0008012922,0.0005452457,0.0006801848,0.0008905152],"category_scores_gemma":[0.001990133,0.0003713325,0.0011219939,0.0011263168,0.00025596836,0.0011370957,0.00067372806,0.0006702416,0.00013642632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042996038,0.0005378625,0.37478322,0.00004961705,0.002036546,0.00021703637,0.0002624628,0.57542473,0.0036850397,0.00076660316,0.0028881403,0.03891873],"study_design_scores_gemma":[0.00003810069,0.00007734754,0.23623769,0.000008934572,0.00027179718,0.000037939808,0.00016143167,0.76109195,0.00060033903,0.0006085283,0.00082710735,0.000038745708],"about_ca_topic_score_codex":0.051253982,"about_ca_topic_score_gemma":0.06111617,"teacher_disagreement_score":0.051253982,"about_ca_system_score_codex":0.00077360787,"about_ca_system_score_gemma":0.0008643302,"threshold_uncertainty_score":0.10191131},"labels":[],"label_agreement":null},{"id":"W2531514858","doi":"10.1007/s10584-016-1830-y","title":"Why aren’t we taking action? Psychological barriers to climate-positive food choices","year":2016,"lang":"en","type":"article","venue":"Climatic Change","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Action (physics); Climate change; Psychology; Economics; Social psychology; Natural resource economics; Public economics; Ecology; Biology","score_opus":0.06210645367874325,"score_gpt":0.3383049499377554,"score_spread":0.27619849625901216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531514858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87317574,0.00087928784,0.00089255645,0.087361775,0.00035876653,0.000021031012,0.000053617263,0.000023848217,0.03723338],"genre_scores_gemma":[0.99523157,0.00021700817,0.00015453185,0.0033239222,0.000043789572,0.000010655946,0.000011281413,0.000010832552,0.0009962887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945363,0.0029050084,0.000130754,0.00028878835,0.00082492054,0.0013142345],"domain_scores_gemma":[0.973119,0.010891027,0.00458537,0.0008663129,0.0019559767,0.008582406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061472706,0.0001514336,0.00030302713,0.00052269816,0.0036946186,0.0044027455,0.0006984999,0.0025692286,0.013472742],"category_scores_gemma":[0.024681604,0.00037615816,0.00036207106,0.0006234825,0.007615053,0.003416,0.0030991677,0.005124006,0.0005485514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058260607,0.0028653394,0.50578445,0.0005148538,0.00046542787,0.0019836726,0.27804485,0.0005638949,0.0027772642,0.0691054,0.031690005,0.10562217],"study_design_scores_gemma":[0.00017512447,0.00028630602,0.40269032,0.00053977594,0.00021204416,0.0010156003,0.45256308,0.0007387895,0.0008531553,0.054089468,0.08665879,0.00017764766],"about_ca_topic_score_codex":0.010498717,"about_ca_topic_score_gemma":0.021861773,"teacher_disagreement_score":0.013472742,"about_ca_system_score_codex":0.0014998612,"about_ca_system_score_gemma":0.0035358663,"threshold_uncertainty_score":0.045070767},"labels":[],"label_agreement":null},{"id":"W2540586337","doi":"10.1007/s10584-016-1820-0","title":"Adaptation and Indigenous peoples in the United Nations Framework Convention on Climate Change","year":2016,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":102,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Indigenous; United Nations Framework Convention on Climate Change; Convention; Adaptation (eye); Climate change; Political science; Environmental resource management; Environmental ethics; Traditional knowledge; Law; Ecology; Kyoto Protocol; Economics; Psychology","score_opus":0.19173894894351648,"score_gpt":0.40206493940818355,"score_spread":0.21032599046466707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2540586337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51650757,0.030045675,0.0007248339,0.19317739,0.004251818,0.00013618804,0.00039513028,0.000022942448,0.25473848],"genre_scores_gemma":[0.9682064,0.006016289,0.00047611032,0.007071122,0.0007541415,0.000077080906,0.000076067154,0.000010578858,0.01731214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99512815,0.0021357299,0.00024257705,0.000155888,0.00066071376,0.0016768036],"domain_scores_gemma":[0.9979153,0.0005845364,0.00032573577,0.0001291488,0.0003185806,0.0007266571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063238707,0.00019299168,0.00035389746,0.00081828673,0.008099754,0.0031325626,0.0009556171,0.0027809897,0.0023072152],"category_scores_gemma":[0.0055529415,0.0001659772,0.00027715045,0.0014996629,0.0059614163,0.0019938452,0.0056463564,0.005169489,0.00010405683],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000178034,0.00050674763,0.0686532,0.0005116201,0.000093532304,0.0014034763,0.32263154,0.00065159996,0.0013248584,0.43591583,0.054098945,0.11403062],"study_design_scores_gemma":[0.0000320532,0.00013114593,0.32473516,0.0011737989,0.000062405954,0.000435453,0.22860894,0.0003005455,0.0005288388,0.0384721,0.40538225,0.00013729317],"about_ca_topic_score_codex":0.25161472,"about_ca_topic_score_gemma":0.44666815,"teacher_disagreement_score":0.25161472,"about_ca_system_score_codex":0.0032306614,"about_ca_system_score_gemma":0.016752917,"threshold_uncertainty_score":0.5003003},"labels":[],"label_agreement":null},{"id":"W2564754739","doi":"10.1007/s10584-016-1880-1","title":"No evidence of publication bias in climate change science","year":2016,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"Kungliga Fysiografiska Sällskapet i Lund","keywords":"Publication bias; Popularity; Climate change; Funnel plot; Prestige; Sample (material); Scientific consensus; Impact factor; Sample size determination; Psychology; Econometrics; Political science; Statistics; Global warming; Economics; Social psychology; Mathematics; MEDLINE; Law; Ecology","score_opus":0.2487063750287247,"score_gpt":0.3358905603523296,"score_spread":0.08718418532360492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564754739","genre_codex":"review","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1000376,0.6068051,0.15254432,0.053056605,0.019151134,0.010452683,0.01534041,0.0014892046,0.041122966],"genre_scores_gemma":[0.8628894,0.034219194,0.058538556,0.023969576,0.004499305,0.008074885,0.0039123786,0.0007024743,0.0031942406],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.34706998,0.36268035,0.1708655,0.045708843,0.069802634,0.003872617],"domain_scores_gemma":[0.08142321,0.7485547,0.08515594,0.054886635,0.02825934,0.0017201394],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.52905804,0.0018325138,0.005653488,0.011435435,0.0025700978,0.012665778,0.005151726,0.007852641,0.013129036],"category_scores_gemma":[0.7850086,0.002281063,0.014776346,0.013466813,0.010560933,0.009699037,0.0066807433,0.004344436,0.0021062745],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011010377,0.0004104452,0.18186711,0.2764727,0.20750824,0.0027564885,0.0114468075,0.002478279,0.0029834567,0.030850792,0.025741434,0.2464739],"study_design_scores_gemma":[0.010088987,0.0046441085,0.20505808,0.15684414,0.19497389,0.0073816124,0.004679214,0.0070855347,0.0098784,0.18664135,0.21148838,0.0012363354],"about_ca_topic_score_codex":0.0014640132,"about_ca_topic_score_gemma":0.0027514687,"teacher_disagreement_score":0.47094196,"about_ca_system_score_codex":0.003962274,"about_ca_system_score_gemma":0.008276966,"threshold_uncertainty_score":0.58075535},"labels":[],"label_agreement":null},{"id":"W2565043832","doi":"10.1007/s10584-016-1867-y","title":"Regional modeling of climate change impacts on smallholder agriculture and ecosystems in Central America","year":2016,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit; International Development Research Centre; United States Agency for International Development","keywords":"Climate change; Livelihood; Vulnerability (computing); Agriculture; Ecosystem; Environmental resource management; Ecosystem services; Climate model; Geography; Natural resource economics; Agroforestry; Environmental science; Ecology; Economics","score_opus":0.10908568648782631,"score_gpt":0.2626963169206133,"score_spread":0.153610630432787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565043832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9470207,0.0035626502,0.022149049,0.0018042385,0.00013660759,0.00007432568,0.0032936705,0.0003586419,0.021600017],"genre_scores_gemma":[0.9920604,0.0011187041,0.004237968,0.0001201112,0.000023856812,0.000056256347,0.0006128616,0.000065702065,0.0017041129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997733,0.00007462704,0.000011416466,0.00006976374,0.00002349561,0.000047314927],"domain_scores_gemma":[0.99946827,0.000225427,0.00008562905,0.0000341501,0.00010810578,0.00007842962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007303266,0.0006596699,0.0005705264,0.0008632747,0.00075468316,0.0019409864,0.0016059405,0.0011076655,0.0023879544],"category_scores_gemma":[0.001622539,0.00044451005,0.00117734,0.0014979544,0.0005618246,0.0010423259,0.0009434647,0.0007043798,0.00019185907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035600442,0.00003243307,0.016520994,0.000053901476,0.00013106261,0.000107001215,0.00012810154,0.97517574,0.0008134329,0.003051696,0.000984451,0.0029655753],"study_design_scores_gemma":[0.000030038822,0.000022946519,0.01558349,0.000042494572,0.00010829328,0.000048354766,0.00027202297,0.97629607,0.00025701273,0.003343281,0.003963859,0.000032233835],"about_ca_topic_score_codex":0.20627466,"about_ca_topic_score_gemma":0.14446956,"teacher_disagreement_score":0.20627466,"about_ca_system_score_codex":0.0033586144,"about_ca_system_score_gemma":0.002551615,"threshold_uncertainty_score":0.41014802},"labels":[],"label_agreement":null},{"id":"W2581896230","doi":"10.1007/s10584-017-1900-9","title":"Early warning information, farmers’ perceptions of, and adaptations to drought in China","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Science and Technology of the People's Republic of China; Australian Centre for International Agricultural Research; National Natural Science Foundation of China; International Development Research Centre","keywords":"Affect (linguistics); Perception; Warning system; China; Adaptation (eye); Climate change; Sample (material); Climate change adaptation; Early warning system; Survey data collection; Environmental resource management; Geography; Business; Socioeconomics; Natural resource economics; Psychology; Economics; Engineering; Ecology","score_opus":0.06377309558226911,"score_gpt":0.2852008476958601,"score_spread":0.221427752113591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581896230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99951005,0.000019987223,0.000012875046,0.00011200172,0.0000016859065,0.000001946644,0.000015426718,3.9796026e-7,0.00032566258],"genre_scores_gemma":[0.9997701,0.000026565824,0.000009050072,0.000026544803,0.0000021702572,0.000001923675,0.00001880523,2.678332e-7,0.00014458437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993749,0.00016845827,0.000055240107,0.00008542824,0.00010309016,0.00021285597],"domain_scores_gemma":[0.9970686,0.00074709416,0.00112617,0.000081808656,0.0003148858,0.0006615064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012748817,0.00020347313,0.00016526452,0.0006675237,0.00093338266,0.0008509816,0.00027893635,0.00045919776,0.0015491231],"category_scores_gemma":[0.0033794572,0.0001829136,0.0002132929,0.00093594834,0.0008774616,0.0008490045,0.0008087507,0.0004926719,0.00007318021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012842234,0.00013425652,0.97507024,0.000030892163,0.000038034115,0.0002672129,0.018412024,0.00032123947,0.00081870216,0.0002677195,0.00026037003,0.0042510326],"study_design_scores_gemma":[0.0000073968044,0.000055650904,0.9826751,0.000009258491,0.000014407136,0.000029819303,0.016021859,0.00047061098,0.00007720455,0.00014244008,0.0004829449,0.000013290538],"about_ca_topic_score_codex":0.058583666,"about_ca_topic_score_gemma":0.08535696,"teacher_disagreement_score":0.058583666,"about_ca_system_score_codex":0.0016219328,"about_ca_system_score_gemma":0.0017987011,"threshold_uncertainty_score":0.11648536},"labels":[],"label_agreement":null},{"id":"W2583419014","doi":"10.1007/s10584-017-1908-1","title":"The great divide: understanding the role of media and other drivers of the partisan divide in public concern over climate change in the USA, 2001–2014","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":198,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Climate change; Scholarship; Speculation; Political science; News media; Empirical evidence; Public opinion; Media coverage; Polarization (electrochemistry); Political economy; Sociology; Politics; Economics; Media studies; Law","score_opus":0.6537976173918474,"score_gpt":0.4495295855949254,"score_spread":0.204268031796922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583419014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848927,0.0007129341,0.00012695415,0.0055852905,0.000056944482,0.0000055557634,0.00035611898,0.0000047171297,0.0082588],"genre_scores_gemma":[0.9987686,0.00023928907,0.000021701035,0.00028197563,0.000061115126,0.0000043383566,0.00014576493,0.0000029602127,0.00047419037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953437,0.000115673756,0.000023786977,0.00007785865,0.000101406105,0.00014687452],"domain_scores_gemma":[0.99568176,0.001596648,0.0014383213,0.00019869875,0.0004914681,0.0005930451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012799803,0.00010859753,0.00013763561,0.0013047627,0.0009395598,0.001668923,0.00043701436,0.00068840303,0.0030868025],"category_scores_gemma":[0.005610193,0.00014150118,0.00021735246,0.0016872945,0.0011629133,0.0024727406,0.0020228,0.0014211966,0.00011632871],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003171012,0.00024515862,0.9129172,0.00009947704,0.00017808337,0.00018313629,0.034904853,0.00050094665,0.0006469216,0.005723092,0.0084808,0.035803214],"study_design_scores_gemma":[0.0000038620988,0.0000157889,0.9710324,0.00004526563,0.000024185705,0.000018042121,0.020929778,0.00043993976,0.00011219057,0.0006856395,0.0066837813,0.000009201964],"about_ca_topic_score_codex":0.06800173,"about_ca_topic_score_gemma":0.12777747,"teacher_disagreement_score":0.06800173,"about_ca_system_score_codex":0.0011342618,"about_ca_system_score_gemma":0.00095067703,"threshold_uncertainty_score":0.13521188},"labels":[],"label_agreement":null},{"id":"W2590185549","doi":"10.1007/s10584-017-1917-0","title":"Potential distribution of the invasive loblolly pine mealybug, Oracella acuta (Hemiptera: Pseudococcidae), in Asia under future climate change scenarios","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Research on scale insects","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Commonwealth Scientific and Industrial Research Organisation","keywords":"Mealybug; Climate change; Distribution (mathematics); Hemiptera; China; Ecology; Range (aeronautics); Invasive species; PEST analysis; Geography; Species distribution; Climate change scenario; Agroforestry; Biology; Habitat; Botany","score_opus":0.05957528924750748,"score_gpt":0.2873370932569363,"score_spread":0.2277618040094288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590185549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984536,0.00019370593,0.00007533818,0.000045769062,0.0000020694474,0.0000014162938,0.00017789395,0.0000034521308,0.0010467146],"genre_scores_gemma":[0.9996617,0.00010980652,0.000029861616,0.0000073377087,9.405765e-7,7.7129846e-7,0.000084103376,4.3906456e-7,0.0001050771],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999936,0.000011585853,0.0000041556686,0.000013993878,0.000008934345,0.000025378504],"domain_scores_gemma":[0.9997414,0.000035691497,0.00009719013,0.000010229697,0.000046518668,0.000068947316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002340481,0.0001527047,0.000094093484,0.00045058742,0.00021999092,0.00043583036,0.00019269342,0.00023437748,0.0011239798],"category_scores_gemma":[0.00021912907,0.00010136145,0.00019414873,0.00034781455,0.00028234508,0.00044578896,0.000300309,0.00011997003,0.0001046539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041308385,0.00003392546,0.9784767,0.000069568574,0.00008694869,0.0007533337,0.0006464215,0.0038334539,0.0065190536,0.0007122232,0.00043177634,0.008023377],"study_design_scores_gemma":[0.000013335063,0.00012079133,0.99084806,0.000020812207,0.00006814467,0.0003935298,0.0015705324,0.0054017515,0.00046140686,0.00021210419,0.0008799816,0.000009630182],"about_ca_topic_score_codex":0.025036989,"about_ca_topic_score_gemma":0.043335505,"teacher_disagreement_score":0.025036989,"about_ca_system_score_codex":0.0006080765,"about_ca_system_score_gemma":0.00029169078,"threshold_uncertainty_score":0.049782515},"labels":[],"label_agreement":null},{"id":"W2592664289","doi":"10.1007/s10584-017-1920-5","title":"Climate change, ecosystems and smallholder agriculture in Central America: an introduction to the special issue","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Ministerio de Ciencia Tecnología y Telecomunicaciones; Consejo Nacional para Investigaciones Científicas y Tecnológicas; Centre de Coopération Internationale en Recherche Agronomique pour le Développement; Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit; Universidad de Costa Rica; International Development Research Centre; University of Southern Queensland; Met Office; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Agriculture; Climate change; Ecosystem; Geography; Natural resource economics; Environmental science; Agroforestry; Agricultural economics; Environmental resource management; Physical geography; Environmental protection; Climatology; Economics; Ecology; Oceanography; Archaeology; Geology; Biology","score_opus":0.06993978058919938,"score_gpt":0.27522715257493036,"score_spread":0.205287371985731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592664289","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009541169,0.40959653,0.0010077497,0.07728816,0.5049318,0.000033061217,0.00017465898,0.000051691863,0.0059622047],"genre_scores_gemma":[0.0041424856,0.25918135,0.0006256691,0.029941596,0.6947727,0.0000423874,0.00018443073,0.000073990894,0.011035425],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993192,0.0001156429,0.00009970001,0.0001710544,0.00019217277,0.00010220849],"domain_scores_gemma":[0.99714965,0.0013392909,0.00022549422,0.00008958077,0.00074856204,0.00044744363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020347182,0.002173223,0.0021383935,0.003009518,0.0021317606,0.006343287,0.0020525604,0.006841814,0.008405467],"category_scores_gemma":[0.0032697497,0.0005950692,0.001347884,0.003679514,0.001974852,0.006019538,0.0028460734,0.008103187,0.001991629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048189875,0.00011912081,0.0013237514,0.0011795108,0.000060867187,0.00028406052,0.00018590949,0.00036581454,0.00048238688,0.0044445917,0.9164355,0.075070284],"study_design_scores_gemma":[0.000011651994,0.00006523825,0.0047488436,0.0012729167,0.000059302914,0.00036333795,0.00045543528,0.00039361638,0.000103077735,0.0043299724,0.98815733,0.000039299804],"about_ca_topic_score_codex":0.010218532,"about_ca_topic_score_gemma":0.024008162,"teacher_disagreement_score":0.010218532,"about_ca_system_score_codex":0.0023524102,"about_ca_system_score_gemma":0.0031885204,"threshold_uncertainty_score":0.028119147},"labels":[],"label_agreement":null},{"id":"W2612351686","doi":"10.1007/s10584-017-1977-1","title":"Soil temperature responses to climate change along a gradient of upland–riparian transect in boreal forest","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"Svenska Forskningsrådet Formas; Kempe Foundation; Kempestiftelserna; Stiftelsen för Miljöstrategisk Forskning","keywords":"Riparian zone; Soil water; Environmental science; Transect; Climate change; Taiga; Boreal; Riparian forest; Hydrology (agriculture); Ecosystem; Soil science; Ecology; Geology; Geography; Forestry; Oceanography","score_opus":0.09442420770458627,"score_gpt":0.28868469261037555,"score_spread":0.1942604849057893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612351686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995889,0.000031871536,0.000043445812,0.000011540772,0.0000029023197,0.0000013970109,0.00011894025,0.000005639917,0.00019542182],"genre_scores_gemma":[0.99961346,0.000018635104,0.0000705927,0.000007112938,0.0000016005629,0.0000020489401,0.00022453367,0.0000015057822,0.000060479924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998605,0.000032171873,0.000010301732,0.000047542144,0.00001612356,0.000033348846],"domain_scores_gemma":[0.9996824,0.00004810821,0.00009660133,0.000024900675,0.00007305954,0.00007492617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030484048,0.00018135548,0.00015378102,0.00043818654,0.0002754151,0.00045406717,0.00021554294,0.00020507551,0.0007014979],"category_scores_gemma":[0.00047282514,0.00012200322,0.0003430206,0.000374287,0.00024769368,0.0002740068,0.00028586222,0.00019340338,0.00008230056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034806755,0.000065205895,0.9864314,0.000022435659,0.00015516358,0.00015050994,0.000389453,0.0022390976,0.0062895217,0.00009435141,0.00023102401,0.0035835998],"study_design_scores_gemma":[0.0000029873634,0.000016606222,0.99883395,0.0000017650692,0.000011970143,0.000027852897,0.0001465889,0.0007646823,0.00008331358,0.000015703112,0.00009117906,0.0000033863562],"about_ca_topic_score_codex":0.060754444,"about_ca_topic_score_gemma":0.12819315,"teacher_disagreement_score":0.060754444,"about_ca_system_score_codex":0.000490443,"about_ca_system_score_gemma":0.0003478447,"threshold_uncertainty_score":0.12080163},"labels":[],"label_agreement":null},{"id":"W2623401292","doi":"10.1007/s10584-017-2002-4","title":"Long-term carbon dioxide and hydrofluorocarbon emissions from commercial space cooling and refrigeration in India: a detailed analysis within an integrated assessment modelling framework","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Environment; Shakti Sustainable Energy Foundation; Global Change Institute, University of the Witwatersrand, Johannesburg; Energy Foundation","keywords":"Greenhouse gas; Refrigeration; Environmental science; Electricity; Montreal Protocol; Carbon dioxide equivalent; Air conditioning; Tonne; Global warming; Environmental engineering; Waste management; Climate change; Meteorology; Engineering; Ozone layer; Ozone","score_opus":0.0378918574794778,"score_gpt":0.31160436258520924,"score_spread":0.2737125051057314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623401292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952532,0.0001434611,0.0016667225,0.00015959462,0.0000061438177,0.000011050628,0.00054307707,0.000030916886,0.0021857887],"genre_scores_gemma":[0.99892956,0.00007199589,0.00028151774,0.0000070155247,0.0000016770306,0.0000086577475,0.0002044165,0.000006210214,0.0004889429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997769,0.00006351259,0.000016071795,0.000033742606,0.000033624332,0.00007609948],"domain_scores_gemma":[0.99952996,0.00025925235,0.000050125196,0.00003222043,0.00010216523,0.000026262735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005307447,0.0004695661,0.00040939316,0.0004926022,0.0005181444,0.0009111844,0.00091217866,0.0009458106,0.00078752596],"category_scores_gemma":[0.0006177026,0.00045088795,0.001344535,0.0008377547,0.00060466037,0.0011036725,0.00058049156,0.00063470745,0.00015536486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004264112,0.00012758278,0.053875383,0.00012170539,0.00021375794,0.000593754,0.00021006916,0.92924565,0.0053381827,0.004153531,0.00047256553,0.0052214535],"study_design_scores_gemma":[0.000042535798,0.00026546008,0.18055406,0.000032457872,0.0004229461,0.00016855479,0.00089391245,0.80526245,0.008067259,0.0023431655,0.001824109,0.00012301475],"about_ca_topic_score_codex":0.19554661,"about_ca_topic_score_gemma":0.14091815,"teacher_disagreement_score":0.19554661,"about_ca_system_score_codex":0.0030908496,"about_ca_system_score_gemma":0.0014640662,"threshold_uncertainty_score":0.38881683},"labels":[],"label_agreement":null},{"id":"W2626245338","doi":"10.1007/s10584-017-2006-0","title":"Local rainfall trends and their perceptions by Amazonian communities","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Amazon rainforest; Deforestation (computer science); Amazonian; Perception; Geography; Climate change; Ecosystem; Vegetation (pathology); Environmental science; Environmental resource management; Physical geography; Ecology; Psychology","score_opus":0.04956975964028688,"score_gpt":0.2421154114604657,"score_spread":0.19254565182017883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626245338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990282,0.00004223979,0.000011797539,0.00011923095,0.000001705663,0.0000018365196,0.000013866419,4.8818595e-7,0.00078075344],"genre_scores_gemma":[0.9998492,0.000031235686,0.0000075884773,0.000016152188,0.0000019995139,0.000001237741,0.000008456029,3.7831998e-7,0.00008366481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952185,0.00020121077,0.000029494395,0.000034604465,0.00007810293,0.0001347214],"domain_scores_gemma":[0.99754083,0.000620931,0.00091975124,0.000065448454,0.00023048338,0.0006226221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009829089,0.00009196319,0.00012702293,0.00067808287,0.001109705,0.0012725658,0.00021667892,0.0003197183,0.0019798458],"category_scores_gemma":[0.0043392,0.00013956313,0.00013922658,0.00091366295,0.0010692521,0.00065994816,0.00081991294,0.00047635785,0.00007393975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018869148,0.000095119474,0.93416464,0.000031936965,0.000045396602,0.00018761806,0.056417495,0.00014285445,0.0007755519,0.00051275105,0.00026918473,0.007168727],"study_design_scores_gemma":[0.000011643706,0.00008470706,0.90227765,0.000019753417,0.000017937591,0.000092479735,0.09592858,0.0002262902,0.00009906121,0.0001708413,0.0010608528,0.00001018624],"about_ca_topic_score_codex":0.039549816,"about_ca_topic_score_gemma":0.09175404,"teacher_disagreement_score":0.039549816,"about_ca_system_score_codex":0.00079403433,"about_ca_system_score_gemma":0.00049144705,"threshold_uncertainty_score":0.07863927},"labels":[],"label_agreement":null},{"id":"W2732152972","doi":"10.1007/s10584-017-2021-1","title":"Potential impact of climate change on streamflow of major Ethiopian rivers","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Goddard Space Flight Center","keywords":"Streamflow; Climate change; Environmental science; Climatology; Geography; Water resource management; Geology; Drainage basin; Oceanography; Cartography","score_opus":0.03984400843329801,"score_gpt":0.2959799444173015,"score_spread":0.2561359359840035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732152972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777776,0.00043176874,0.000085286185,0.00019010593,0.000013845194,0.0000031246498,0.0002204256,0.0000022962422,0.0012754621],"genre_scores_gemma":[0.99932504,0.00032975187,0.000055723114,0.000024453753,0.000009500346,0.0000023559137,0.00008723484,0.0000010028036,0.0001650467],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996815,0.00014704147,0.000019427633,0.00003562356,0.000026293483,0.00009009388],"domain_scores_gemma":[0.9992779,0.00028225585,0.00017326375,0.000028764929,0.00012727147,0.00011071507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083523075,0.00020664834,0.0001446756,0.0008969094,0.0005947276,0.0011487193,0.00025977052,0.0004148453,0.0012988497],"category_scores_gemma":[0.0011705712,0.00014529136,0.0003014265,0.001048729,0.00039891142,0.0006305162,0.0005188885,0.00029865038,0.00007597594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003918065,0.00015932541,0.96744484,0.00010700918,0.00020125585,0.0010019863,0.0007910656,0.006513583,0.0035986279,0.0023636934,0.00056763005,0.016859146],"study_design_scores_gemma":[0.000008593284,0.00007743263,0.9930078,0.000024699202,0.00007739158,0.00014254732,0.0012539153,0.0029114475,0.0008373961,0.00032170626,0.0013261692,0.00001094604],"about_ca_topic_score_codex":0.012716786,"about_ca_topic_score_gemma":0.020124303,"teacher_disagreement_score":0.012716786,"about_ca_system_score_codex":0.0013930578,"about_ca_system_score_gemma":0.0009876164,"threshold_uncertainty_score":0.025285542},"labels":[],"label_agreement":null},{"id":"W2734797827","doi":"10.1007/s10584-017-2030-0","title":"Attributing extreme fire risk in Western Canada to human emissions","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Environment and Climate Change Canada","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Environmental science; Climatology; Forcing (mathematics); Extreme weather; Natural (archaeology); Fire regime; Geography; Ecology; Ecosystem; Geology","score_opus":0.07071131903386642,"score_gpt":0.2839980448596737,"score_spread":0.21328672582580732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734797827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99191225,0.00030927613,0.00043586773,0.000282832,0.000007076052,0.000020878257,0.0014709954,0.000018912873,0.0055419705],"genre_scores_gemma":[0.9979513,0.00025093323,0.0002533293,0.0000247336,0.0000031194522,0.000004240574,0.00086596445,0.0000041244452,0.000642144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964595,0.000035909048,0.000016376014,0.0000471019,0.00013882134,0.00011587427],"domain_scores_gemma":[0.9985349,0.00019992847,0.0002741542,0.000041694726,0.0006571037,0.00029223665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060714845,0.0002811725,0.00018130672,0.0017562279,0.0014960135,0.0014090865,0.0005748738,0.00023339651,0.0009699414],"category_scores_gemma":[0.0027579896,0.00013267252,0.00028363746,0.0032829002,0.0007180729,0.0002914734,0.00074624835,0.00046609793,0.00009060173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004950567,0.000022348924,0.9815755,0.000014114418,0.000049375958,0.000118857635,0.00038255547,0.008050037,0.00012463944,0.0007156387,0.001321075,0.007576387],"study_design_scores_gemma":[0.0000055248765,0.000008601769,0.9798759,0.000032524527,0.000023467637,0.000045797482,0.0014662409,0.016316256,0.000115415736,0.0005206538,0.0015689484,0.000020642286],"about_ca_topic_score_codex":0.99490535,"about_ca_topic_score_gemma":0.997006,"teacher_disagreement_score":0.021362456,"about_ca_system_score_codex":0.021362456,"about_ca_system_score_gemma":0.016622545,"threshold_uncertainty_score":0.15499616},"labels":[],"label_agreement":null},{"id":"W2740877834","doi":"10.1007/s10584-017-2038-5","title":"Forest sector carbon analyses support land management planning and projects: assessing the influence of anthropogenic and natural factors","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"U.S. Forest Service; National Aeronautics and Space Administration","keywords":"Environmental science; Greenhouse gas; Climate change; Carbon sink; Carbon accounting; Forest management; Atmospheric carbon cycle; Carbon sequestration; Carbon dioxide in Earth's atmosphere; Carbon fibers; Forest inventory; Environmental resource management; Environmental protection; Ecology; Carbon dioxide; Agroforestry","score_opus":0.0733918484902155,"score_gpt":0.34629720841586564,"score_spread":0.2729053599256501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740877834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949645,0.00018151685,0.001238057,0.00019289873,0.0000067427477,0.00002021886,0.0005483575,0.000015735928,0.002832028],"genre_scores_gemma":[0.9987203,0.000067888766,0.0008387719,0.000011087972,0.0000060485063,0.000005305718,0.00018405326,0.0000049400137,0.00016166887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981833,0.0010988516,0.00010352059,0.00009988763,0.00036341936,0.0001509572],"domain_scores_gemma":[0.9906819,0.0046830643,0.0020385738,0.00038979767,0.0016556293,0.0005509882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032831966,0.00041722864,0.0003029168,0.0019463171,0.0004256307,0.0018117669,0.0003752806,0.00043179508,0.001537887],"category_scores_gemma":[0.009676493,0.00016578566,0.00033660122,0.0024224182,0.00038133064,0.0013644671,0.00063004467,0.0003226982,0.00015554747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035658106,0.0001853245,0.9391603,0.00006741268,0.00038756672,0.000074492964,0.00010220361,0.025466615,0.0010956933,0.0010495685,0.00043206595,0.031622145],"study_design_scores_gemma":[0.000036414014,0.00022366233,0.87248135,0.00004545861,0.000297114,0.000058561312,0.00088957686,0.11846607,0.0031589684,0.002702099,0.0016193094,0.000021442125],"about_ca_topic_score_codex":0.022952443,"about_ca_topic_score_gemma":0.086350314,"teacher_disagreement_score":0.022952443,"about_ca_system_score_codex":0.0014035092,"about_ca_system_score_gemma":0.002396642,"threshold_uncertainty_score":0.045637667},"labels":[],"label_agreement":null},{"id":"W2751373483","doi":"10.1007/s10584-017-2052-7","title":"Tropical semi-arid regions expanding over temperate latitudes under climate change","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Agence Nationale de la Recherche","keywords":"Arid; Temperate climate; Climate change; Climatology; Northern Hemisphere; Climate model; Global warming; Latitude; Geography; Environmental science; Physical geography; Geology; Ecology; Oceanography","score_opus":0.13934822166203847,"score_gpt":0.3301883938430954,"score_spread":0.19084017218105692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751373483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98268014,0.00043300373,0.0030418308,0.00029733317,0.000014572841,0.000011410484,0.00047774328,0.000051318126,0.012992603],"genre_scores_gemma":[0.99846184,0.0003699874,0.00049295457,0.000024063338,0.0000059577983,0.0000057353204,0.00010535181,0.000005214524,0.0005288679],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994504,0.000014600003,0.0000021865496,0.000009612556,0.000007122711,0.00002141823],"domain_scores_gemma":[0.9999336,0.000007691666,0.000030684616,0.0000060833668,0.000007475037,0.000014484837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118831136,0.00013139965,0.000113597765,0.00025130657,0.00028882473,0.0007116517,0.0002072903,0.00014512091,0.0020641456],"category_scores_gemma":[0.00023846028,0.000066804445,0.00019948685,0.0005604201,0.00040958836,0.0003353204,0.00047964114,0.0001723854,0.00017693265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046532397,0.0001277562,0.6058246,0.00040953275,0.00027720444,0.0012525979,0.002632868,0.19091818,0.043702327,0.06973599,0.006153,0.07850061],"study_design_scores_gemma":[0.000026418638,0.00005926194,0.9015117,0.00006094617,0.00010478022,0.000623774,0.002519135,0.05440697,0.0019531513,0.01604919,0.022641035,0.000043518274],"about_ca_topic_score_codex":0.006429047,"about_ca_topic_score_gemma":0.011502861,"teacher_disagreement_score":0.006429047,"about_ca_system_score_codex":0.0004543783,"about_ca_system_score_gemma":0.00028368286,"threshold_uncertainty_score":0.012783229},"labels":[],"label_agreement":null},{"id":"W2753084520","doi":"10.1007/s10584-017-2060-7","title":"Projected warming portends seasonal shifts of stream temperatures in the Crown of the Continent Ecosystem, USA and Canada","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service; National Science Foundation","keywords":"Environmental science; Climate change; Ecosystem; Glacier; Global warming; Climatology; STREAMS; Climate model; Physical geography; Geography; Ecology; Geology; Oceanography","score_opus":0.0231047669082133,"score_gpt":0.23708402588286898,"score_spread":0.21397925897465567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753084520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962658,0.00020373536,0.00006128649,0.0006648345,0.000013534185,0.0000033778301,0.0006555596,0.000007361055,0.0021244548],"genre_scores_gemma":[0.99896634,0.00014676011,0.00005693262,0.00008456724,0.0000049926257,0.0000018683177,0.00026730608,0.0000021909711,0.00046892164],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999869,0.000013835709,0.0000050201697,0.00001814067,0.000022319686,0.00007173255],"domain_scores_gemma":[0.9995432,0.000027179918,0.000059803206,0.000014929971,0.00024040551,0.000114454866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022940278,0.000119573604,0.00011316496,0.00054135977,0.0011453589,0.0010445407,0.00044079786,0.00036889495,0.002098268],"category_scores_gemma":[0.0008700254,0.00010332091,0.00024729015,0.0009913656,0.00044482623,0.00040778512,0.0005016795,0.00037833175,0.00010828412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007398434,0.000025684732,0.9883974,0.000015412228,0.000059719754,0.00009081771,0.00058178813,0.0009650237,0.0007167591,0.0003734312,0.0017548605,0.006945001],"study_design_scores_gemma":[0.0000016723662,0.0000029331381,0.99760205,0.000005606346,0.000010998194,0.000013331621,0.0008220266,0.00047973814,0.00005056762,0.000048438316,0.0009598332,0.000002865818],"about_ca_topic_score_codex":0.9701052,"about_ca_topic_score_gemma":0.99074477,"teacher_disagreement_score":0.029894829,"about_ca_system_score_codex":0.007591174,"about_ca_system_score_gemma":0.009101493,"threshold_uncertainty_score":0.060141742},"labels":[],"label_agreement":null},{"id":"W2755366669","doi":"10.1007/s10584-017-2071-4","title":"Readiness for climate change adaptation in the Arctic: a case study from Nunavut, Canada","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre; Canadian Institutes of Health Research; ArcticNet","keywords":"Adaptation (eye); Preparedness; Government (linguistics); Climate change adaptation; Arctic; Climate change; Environmental resource management; Environmental planning; Political science; Business; Geography; Economics; Psychology; Ecology","score_opus":0.23185637504888962,"score_gpt":0.3951331024990148,"score_spread":0.16327672745012517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755366669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98717517,0.0007162252,0.0002667928,0.0015155568,0.000043794513,0.00017778829,0.00020118902,0.0000071042236,0.009896315],"genre_scores_gemma":[0.99225414,0.0011911477,0.000813078,0.00064189034,0.000009542645,0.00008668387,0.00014666395,0.000013458505,0.004843371],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99735224,0.00068085245,0.000079480655,0.000234661,0.00039968494,0.001252947],"domain_scores_gemma":[0.997029,0.0006692302,0.00018578481,0.000096819465,0.0009854051,0.0010337608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002574867,0.00058924477,0.00054441846,0.0018134656,0.028524484,0.0038002855,0.0022793044,0.0013686572,0.002186883],"category_scores_gemma":[0.0032783211,0.00045929276,0.0004926921,0.004380435,0.0043653157,0.0009279047,0.0038834345,0.0018088855,0.00020547383],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016198008,0.0003986806,0.15970424,0.00039425032,0.00005127582,0.016515573,0.785463,0.0011181583,0.0017886652,0.0068196137,0.0054394994,0.022145163],"study_design_scores_gemma":[0.0000074216496,0.00005035275,0.04573854,0.0001857374,0.00002135472,0.00049587607,0.93945825,0.00037079895,0.0002115507,0.00025962555,0.013161269,0.000039162776],"about_ca_topic_score_codex":0.99593806,"about_ca_topic_score_gemma":0.99883777,"teacher_disagreement_score":0.090757325,"about_ca_system_score_codex":0.090757325,"about_ca_system_score_gemma":0.11026339,"threshold_uncertainty_score":0.6584936},"labels":[],"label_agreement":null},{"id":"W2762809225","doi":"10.1007/s10584-017-2076-z","title":"Representation of Indigenous peoples in climate change reporting","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; University of Leeds; ArcticNet","keywords":"Framing (construction); Indigenous; Climate change; Newspaper; Colonialism; Political science; Geography; Arctic; Content analysis; News media; Environmental ethics; Sociology; Social science; Ecology; Law","score_opus":0.743959103787647,"score_gpt":0.5369823437511693,"score_spread":0.2069767600364777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762809225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93792623,0.005940388,0.000957035,0.004360501,0.00031683515,0.00004931449,0.00034925,0.000015032039,0.050085403],"genre_scores_gemma":[0.99157274,0.0048008254,0.00049486157,0.00047934617,0.0002392044,0.00003111697,0.0001391854,0.000015098199,0.0022276135],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9951834,0.0024992814,0.00029665494,0.0002596374,0.0013253137,0.00043566318],"domain_scores_gemma":[0.9790165,0.013098256,0.00440471,0.00067790004,0.0021942123,0.0006083859],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0060767764,0.00022836076,0.00019654064,0.004306187,0.0025873394,0.0028816073,0.00048613444,0.0005154968,0.003076747],"category_scores_gemma":[0.019369656,0.00020756402,0.00020117521,0.00438811,0.002460884,0.0020771567,0.0026867662,0.0009235431,0.00018316388],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079699676,0.00002937854,0.06581152,0.0014597318,0.00006650881,0.0016528125,0.85756487,0.000099449084,0.0037776039,0.006958099,0.0026422297,0.059858147],"study_design_scores_gemma":[0.0000066734606,0.000068842,0.20491791,0.0022311679,0.000121558594,0.0014999058,0.65987873,0.00026800937,0.0016950303,0.0018661246,0.12737873,0.00006732286],"about_ca_topic_score_codex":0.02636845,"about_ca_topic_score_gemma":0.027525492,"teacher_disagreement_score":0.9974127,"about_ca_system_score_codex":0.0019247761,"about_ca_system_score_gemma":0.0018888058,"threshold_uncertainty_score":0.052429914},"labels":[],"label_agreement":null},{"id":"W2765723459","doi":"10.1007/s10584-017-2099-5","title":"Incorporating climate change scenarios and water-balance approach to cumulative assessment models of solution potash Mining in the Canadian Prairies","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Climate change; Water balance; Environmental science; Watershed; Water resources; Precipitation; Climate model; Water resource management; Water use; Potash; Hydrology (agriculture); Environmental resource management; Geography; Meteorology; Engineering; Geology; Computer science","score_opus":0.10331885207430094,"score_gpt":0.2988704814218539,"score_spread":0.19555162934755296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765723459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898525,0.00013322828,0.0043677664,0.00072669546,0.000016721035,0.000037436002,0.00077758584,0.000052520147,0.004035475],"genre_scores_gemma":[0.9972984,0.00006709945,0.001169346,0.00003364317,0.000003957409,0.000011614888,0.00016843063,0.000008905137,0.0012386397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974626,0.00006880308,0.000016551223,0.00006001804,0.00003594027,0.00007235215],"domain_scores_gemma":[0.99936694,0.00022802787,0.000063923246,0.000032487165,0.0002159215,0.00009275585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009211066,0.0003662654,0.00044266324,0.0005473773,0.0011563943,0.0017023496,0.0020604117,0.0013085945,0.0017987363],"category_scores_gemma":[0.002050649,0.00045561462,0.0006087091,0.0008464451,0.0007796443,0.0011173253,0.0006523174,0.00089299964,0.00008341479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002906408,0.000029006704,0.008860026,0.00001033081,0.000035992896,0.000042490192,0.00005558375,0.98668206,0.00020949439,0.0015612833,0.0002382919,0.002246365],"study_design_scores_gemma":[0.000015284399,0.000012968052,0.0061645284,0.0000045173656,0.000025761683,0.0000071052896,0.000085748296,0.9922241,0.00012401746,0.00085018866,0.00046955774,0.000016354661],"about_ca_topic_score_codex":0.9318698,"about_ca_topic_score_gemma":0.9472954,"teacher_disagreement_score":0.068130195,"about_ca_system_score_codex":0.015215819,"about_ca_system_score_gemma":0.009162849,"threshold_uncertainty_score":0.13706279},"labels":[],"label_agreement":null},{"id":"W2793066563","doi":"10.1007/s10584-018-2178-2","title":"Implications of projected climate change on winter road systems in Ontario’s Far North, Canada","year":2018,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"","keywords":"Downscaling; Environmental science; Climatology; Climate change; Climate model; General Circulation Model; Winter season; Geography; Oceanography; Geology","score_opus":0.10524009886786423,"score_gpt":0.25927006806792835,"score_spread":0.15402996920006412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793066563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734721,0.0008567317,0.00036026348,0.0045247,0.00005906974,0.000035757323,0.007539671,0.000037911137,0.01311372],"genre_scores_gemma":[0.9953727,0.0004543725,0.00019027451,0.00013786602,0.000006603787,0.000009060891,0.00091618334,0.0000057784887,0.0029070925],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994091,0.00004555998,0.000026859607,0.00006402075,0.00014099275,0.0003136302],"domain_scores_gemma":[0.9989396,0.000060126862,0.00009631548,0.000020337307,0.0006534554,0.00023026968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003408541,0.00024109324,0.00025332152,0.0008454226,0.003115777,0.0023484228,0.0009896646,0.00067651237,0.0048836996],"category_scores_gemma":[0.0013360981,0.00025516158,0.0006236584,0.0020300497,0.0009717464,0.0006090231,0.00078275776,0.0006853313,0.00027971077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022028391,0.00008205583,0.9206161,0.00024376439,0.00024155462,0.0010048491,0.0050293077,0.026918713,0.0014427454,0.0045505306,0.015832756,0.023817372],"study_design_scores_gemma":[0.000025415065,0.000023021072,0.9610813,0.00011335259,0.00006404054,0.00010226792,0.010510721,0.010709853,0.0002532225,0.00067881704,0.016391216,0.000046787787],"about_ca_topic_score_codex":0.9980628,"about_ca_topic_score_gemma":0.9994173,"teacher_disagreement_score":0.056684557,"about_ca_system_score_codex":0.056684557,"about_ca_system_score_gemma":0.054473512,"threshold_uncertainty_score":0.41127717},"labels":[],"label_agreement":null},{"id":"W2800124768","doi":"10.1007/s10584-018-2199-x","title":"Indices of Canada’s future climate for general and agricultural adaptation applications","year":2018,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; Pacific Institute for Climate Solutions; University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Downscaling; Environmental science; Climate change; Climatology; Precipitation; Representative Concentration Pathways; Climate model; Global warming; Heating degree day; Agriculture; Mean radiant temperature; Greenhouse gas; Atmospheric sciences; Meteorology; Energy consumption; Geography; Ecology","score_opus":0.03259735845281193,"score_gpt":0.24511085347649728,"score_spread":0.21251349502368536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800124768","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3581619,0.0037367244,0.051995423,0.005183581,0.0004152819,0.00038866684,0.18532269,0.0033768606,0.39141893],"genre_scores_gemma":[0.90328944,0.0026012273,0.035102863,0.00019523203,0.000042825843,0.00014456453,0.040888283,0.00023735627,0.01749804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960333,0.000037491445,0.000011011547,0.0000489212,0.00022172005,0.00007749901],"domain_scores_gemma":[0.99912375,0.000032355227,0.000039444618,0.000035998266,0.00068465224,0.00008387251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006109428,0.0006081814,0.00019812072,0.0013736266,0.001101439,0.0020426577,0.000711706,0.00022921061,0.005055106],"category_scores_gemma":[0.0016348057,0.00014503114,0.00048544747,0.0032388559,0.00023810656,0.0005333948,0.0005305738,0.0006453884,0.0005320946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019197445,0.000081729835,0.18280824,0.000321755,0.00037909386,0.00018552125,0.00065362983,0.38700595,0.0028440906,0.052607596,0.17776896,0.19515146],"study_design_scores_gemma":[0.000041047853,0.000049704868,0.28085613,0.0001722634,0.00013801483,0.00015261254,0.0012040607,0.32910004,0.0019742902,0.0124416035,0.37368873,0.0001814529],"about_ca_topic_score_codex":0.9765912,"about_ca_topic_score_gemma":0.9813704,"teacher_disagreement_score":0.02340877,"about_ca_system_score_codex":0.022124665,"about_ca_system_score_gemma":0.034128517,"threshold_uncertainty_score":0.1605264},"labels":[],"label_agreement":null},{"id":"W2806874866","doi":"10.1007/s10584-018-2201-7","title":"Trees for tomorrow: an evaluation framework to assess potential candidates for assisted migration to Manitoba’s forests","year":2018,"lang":"en","type":"article","venue":"Climatic Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Vulnerability (computing); Range (aeronautics); Environmental resource management; Climate change; Forest management; Multivariate statistics; Disturbance (geology); Geography; Adaptation (eye); Ecology; Environmental science; Forestry; Computer science; Biology","score_opus":0.17332323779576356,"score_gpt":0.3737579693214204,"score_spread":0.20043473152565686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806874866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8761675,0.00071421615,0.0496418,0.0024146428,0.00009501549,0.0013267421,0.0069356565,0.0004085751,0.062295787],"genre_scores_gemma":[0.94417363,0.00015439786,0.050079897,0.0000967499,0.000013889844,0.00035074394,0.002216158,0.000029993222,0.0028845137],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790883,0.001123232,0.000103117156,0.00013479599,0.00050167256,0.00022834558],"domain_scores_gemma":[0.9901432,0.0053714346,0.00079415855,0.0002961653,0.0024019368,0.0009931787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074792253,0.0006049313,0.0004529648,0.003034876,0.0014154919,0.0020985215,0.0011578315,0.0006924351,0.005778512],"category_scores_gemma":[0.017012838,0.00012945666,0.00046190625,0.0023160505,0.0008835723,0.001671405,0.001253157,0.0006312419,0.00047077506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024268702,0.0008505292,0.6054181,0.000505223,0.0006358309,0.00039040382,0.002401659,0.06491788,0.001444338,0.047109988,0.020072531,0.25382656],"study_design_scores_gemma":[0.00044795373,0.0035347545,0.33393618,0.000651933,0.0011657734,0.00050183706,0.0193624,0.52876455,0.002952891,0.06560807,0.04289489,0.00017886695],"about_ca_topic_score_codex":0.061599426,"about_ca_topic_score_gemma":0.21699414,"teacher_disagreement_score":0.93840057,"about_ca_system_score_codex":0.0022654557,"about_ca_system_score_gemma":0.0043798033,"threshold_uncertainty_score":0.12248176},"labels":[],"label_agreement":null},{"id":"W2831102251","doi":"10.1007/s10584-018-2248-5","title":"In situ behavioral plasticity as compensation for weather variability: implications for future climate change","year":2018,"lang":"en","type":"article","venue":"Climatic Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Rhodes Scholarships","keywords":"Climate change; Environmental science; Extreme weather; Ecology; Climatology; Atmospheric sciences; Biology","score_opus":0.09663040978880559,"score_gpt":0.3415089331467448,"score_spread":0.2448785233579392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2831102251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99156475,0.00026749886,0.0044049765,0.00024745712,0.000058489757,0.000013052173,0.0004488765,0.00008936324,0.0029055509],"genre_scores_gemma":[0.9985331,0.00008746257,0.00074063515,0.000055924018,0.000014153284,0.000015234995,0.00013721136,0.000021495198,0.00039476325],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998104,0.000044594526,0.000011170672,0.000082958984,0.000019509254,0.000031331914],"domain_scores_gemma":[0.9993444,0.00016819387,0.00018931333,0.0001412975,0.00006985175,0.00008700406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044215503,0.00035476426,0.00045072378,0.00040286162,0.00036843316,0.0008504097,0.00077050907,0.0007153422,0.0036206187],"category_scores_gemma":[0.0012061807,0.00025550363,0.00037249405,0.00042933962,0.0005171746,0.0010827256,0.00045520134,0.000607649,0.00025098617],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007195159,0.0005176448,0.31686044,0.00024584658,0.00034514905,0.00022159862,0.00060308195,0.0064347093,0.6266204,0.0019994199,0.0009563292,0.04447587],"study_design_scores_gemma":[0.000010482626,0.00022440731,0.97673017,0.000011721346,0.00006837193,0.00015339763,0.0003357772,0.008428607,0.011902077,0.0013642382,0.0007492288,0.000021415963],"about_ca_topic_score_codex":0.003540602,"about_ca_topic_score_gemma":0.0060216035,"teacher_disagreement_score":0.0036206187,"about_ca_system_score_codex":0.00057472975,"about_ca_system_score_gemma":0.00028488546,"threshold_uncertainty_score":0.0121122},"labels":[],"label_agreement":null},{"id":"W2887082346","doi":"10.1007/s10584-018-2268-1","title":"Climatic drivers of tree growth at tree line in Southwest Yukon change over time and vary between landscapes","year":2018,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tree line; Subarctic climate; Dendrochronology; Precipitation; Snow; Climate change; Dendroclimatology; Environmental science; Physical geography; Range (aeronautics); Climatology; Growing season; Atmospheric sciences; Geography; Ecology; Geology; Meteorology; Biology","score_opus":0.04908940593894839,"score_gpt":0.2525422303281175,"score_spread":0.20345282438916912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887082346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99977094,0.000018492487,0.000018683102,0.00001697832,6.2897334e-7,5.7567706e-7,0.00009379731,0.0000013412749,0.000078514],"genre_scores_gemma":[0.9997106,0.0000136320305,0.000014049341,0.0000049251316,5.8162186e-7,9.2867776e-7,0.00015814164,0.0000010328669,0.000096053875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998871,0.000016130356,0.00000893892,0.00003517466,0.000009018655,0.000043561762],"domain_scores_gemma":[0.99957615,0.000069313,0.00013927072,0.000028616761,0.00009412104,0.000092460126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022036313,0.00012554218,0.00019201647,0.0004454077,0.00038632427,0.00049080333,0.00023696874,0.0002699716,0.0010886592],"category_scores_gemma":[0.00048488672,0.00015527185,0.00027256334,0.0008714615,0.0002748582,0.00041311144,0.00038523163,0.00021513968,0.00011170015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057984715,0.000015726813,0.9968521,0.000006893329,0.000037123133,0.000050678587,0.0003852891,0.00020985286,0.0013456923,0.00005425747,0.00007286909,0.000911651],"study_design_scores_gemma":[6.970395e-7,0.0000033249614,0.9993788,7.4742354e-7,0.0000053301483,0.000010514123,0.00033132374,0.00018207874,0.00002988202,0.000009716892,0.000046449677,0.0000010944042],"about_ca_topic_score_codex":0.10442975,"about_ca_topic_score_gemma":0.25971457,"teacher_disagreement_score":0.8955703,"about_ca_system_score_codex":0.00086983724,"about_ca_system_score_gemma":0.0005819918,"threshold_uncertainty_score":0.2076438},"labels":[],"label_agreement":null},{"id":"W2892044905","doi":"10.1007/s10584-018-2274-3","title":"Temperature-related mortality impacts under and beyond Paris Agreement climate change scenarios","year":2018,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Health Canada","funders":"National Health and Medical Research Council; Natural Environment Research Council; Medical Research Council; Grantová Agentura České Republiky; U.S. Environmental Protection Agency; National Research Foundation of Korea; Yale University; National Health Research Institutes; National Research Foundation; Research Councils UK; Medical Research Foundation; National Institute for Health and Care Research; National Institute for Health Research Health Protection Research Unit; Sight Research UK; Environmental Restoration and Conservation Agency","keywords":"Climate change; Global warming; Vulnerability (computing); Limiting; Environmental science; Global temperature; Climatology; Natural resource economics; Geography; Economics; Ecology; Biology","score_opus":0.09020401422593252,"score_gpt":0.3348877514767703,"score_spread":0.24468373725083778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892044905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99270636,0.00040805963,0.0017769003,0.0006001181,0.000032629752,0.00003336209,0.0012368517,0.00003947526,0.0031661661],"genre_scores_gemma":[0.9989784,0.00009343506,0.00027838827,0.000043815315,0.000010123103,0.000018249115,0.00039321708,0.0000044251683,0.00017994095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971654,0.0016923798,0.000067673136,0.00024351773,0.00016841957,0.00066267495],"domain_scores_gemma":[0.9979291,0.0010219185,0.00037969786,0.00025231703,0.000296636,0.00012024126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035314166,0.0008946642,0.00083979074,0.00064347644,0.00046388083,0.0018337806,0.0007837669,0.0009167617,0.0011865213],"category_scores_gemma":[0.004787993,0.0002729628,0.0019266832,0.00093399966,0.0008718482,0.0014771656,0.0012592498,0.00082733855,0.00013477501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012301716,0.000099058874,0.19588205,0.00015264835,0.000976421,0.00094673934,0.00031075487,0.7847721,0.0026798316,0.005577057,0.0014314962,0.005941714],"study_design_scores_gemma":[0.00017578644,0.000901464,0.7757272,0.00012068635,0.0006356207,0.00018356652,0.002285042,0.20314637,0.003329146,0.0076622725,0.0056407847,0.00019206075],"about_ca_topic_score_codex":0.04203041,"about_ca_topic_score_gemma":0.031918585,"teacher_disagreement_score":0.04203041,"about_ca_system_score_codex":0.0022195692,"about_ca_system_score_gemma":0.0011209084,"threshold_uncertainty_score":0.08357149},"labels":[],"label_agreement":null},{"id":"W2898587305","doi":"10.1007/s10584-018-2304-1","title":"Vulnerability and its discontents: the past, present, and future of climate change vulnerability research","year":2018,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of British Columbia; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; ArcticNet","keywords":"Vulnerability (computing); Framing (construction); Climate change; Vulnerability assessment; Environmental resource management; Sociology; Psychology; Social psychology; Geography; Psychological resilience; Computer science; Ecology; Environmental science","score_opus":0.45806568794287134,"score_gpt":0.4318464457519632,"score_spread":0.026219242190908154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898587305","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022643803,0.6522766,0.0050871675,0.3018631,0.00512615,0.00004163246,0.000092022405,0.000022943877,0.0128466375],"genre_scores_gemma":[0.46047965,0.49143788,0.006085555,0.030495094,0.009801045,0.00012195201,0.00009839621,0.000049140544,0.0014312168],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95998794,0.024263186,0.0030588873,0.0032186564,0.008294433,0.0011768456],"domain_scores_gemma":[0.69512886,0.2604921,0.015443381,0.0062029576,0.019693548,0.0030392075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.085700944,0.0005467062,0.0015389521,0.008134594,0.004682996,0.018974375,0.0022977982,0.0044049365,0.0023553486],"category_scores_gemma":[0.11892308,0.00037027785,0.0008942403,0.01036284,0.03203811,0.02776953,0.0070114406,0.0071241134,0.00034208645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018279062,0.0000782036,0.02052604,0.014136279,0.00030388194,0.001052605,0.122138575,0.0011406713,0.00092848757,0.35234722,0.027317733,0.4598476],"study_design_scores_gemma":[0.00001731499,0.00014386214,0.023963755,0.0428088,0.00022324854,0.0017250266,0.20099036,0.0012154152,0.0006891508,0.40769887,0.32028997,0.00023429003],"about_ca_topic_score_codex":0.0060591875,"about_ca_topic_score_gemma":0.009902882,"teacher_disagreement_score":0.085700944,"about_ca_system_score_codex":0.0074104317,"about_ca_system_score_gemma":0.01551494,"threshold_uncertainty_score":0.45323533},"labels":[],"label_agreement":null},{"id":"W2902777870","doi":"10.1007/s10584-018-2336-6","title":"Compounding effects of human activities and climatic changes on surface water availability in Iran","year":2018,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":132,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Concordia University","funders":"","keywords":"Climate change; Water scarcity; Environmental science; Precipitation; Agriculture; Surface water; Population; Water resources; Structural basin; Compounding; Water resource management; Water use; Physical geography; Drainage basin; Hydrology (agriculture); Geography; Environmental protection; Ecology; Environmental engineering; Geology; Demography; Biology","score_opus":0.037618472152183134,"score_gpt":0.27744962115492566,"score_spread":0.23983114900274252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902777870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994425,0.00005786381,0.00006878434,0.00004966631,0.0000032040552,0.0000021707733,0.00009820978,0.0000020150337,0.00027543033],"genre_scores_gemma":[0.9996598,0.00005644383,0.000059327478,0.000006295248,0.000009289526,0.0000017563924,0.00012919295,6.812627e-7,0.00007726509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977523,0.000053196283,0.000021263875,0.000036118196,0.000041425435,0.00007274086],"domain_scores_gemma":[0.9996039,0.00011209816,0.00010684756,0.000022784247,0.000084023806,0.00007032171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046391666,0.00018330051,0.00023140649,0.0007854956,0.00030812473,0.00042693698,0.00026409782,0.00019990344,0.00056495925],"category_scores_gemma":[0.00055809546,0.00013650437,0.00044451217,0.0013068066,0.0003468428,0.0003385228,0.0003233394,0.00026081703,0.00005130386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015127234,0.00007226218,0.9877145,0.000023300956,0.00012852786,0.0002627685,0.00034112282,0.0024582418,0.00083249,0.00034485862,0.0003350971,0.0073355073],"study_design_scores_gemma":[0.0000033239382,0.00002209016,0.9980818,0.0000013606931,0.000030707753,0.000053515552,0.00040536746,0.0009923382,0.00009777115,0.00007177184,0.00023613384,0.0000037258808],"about_ca_topic_score_codex":0.053962644,"about_ca_topic_score_gemma":0.07114999,"teacher_disagreement_score":0.053962644,"about_ca_system_score_codex":0.0010545001,"about_ca_system_score_gemma":0.0014800902,"threshold_uncertainty_score":0.10729712},"labels":[],"label_agreement":null},{"id":"W2906924500","doi":"10.1007/s10584-018-2360-6","title":"Social capital and incremental transformative change: responding to climate change experts in Metro Manila","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre; De La Salle University","keywords":"Social capital; Climate change; Context (archaeology); Ambivalence; Collective action; Action (physics); Corporate governance; Public relations; Government (linguistics); Social movement; Civil society; Political science; Transformative learning; Capital (architecture); Business; Economic system; Public administration; Sociology; Knowledge management; Economics; Social psychology; Psychology; Computer science; Finance","score_opus":0.09414485049154571,"score_gpt":0.35736981562922426,"score_spread":0.26322496513767857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906924500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916093,0.000035924597,0.00005568797,0.0042579263,0.00002670937,0.000011695041,0.000021903956,0.0000019858817,0.0039789355],"genre_scores_gemma":[0.99856913,0.000035603407,0.00003746441,0.00014876718,0.000014417696,0.000007570715,0.000010004005,9.14362e-7,0.0011761008],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99864286,0.0005495306,0.000022877508,0.000071804796,0.0000937224,0.0006192171],"domain_scores_gemma":[0.9961189,0.0010212675,0.0007336088,0.000059541235,0.00034177199,0.001724942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013878775,0.0001734406,0.00012771363,0.00062207575,0.0045395284,0.0019978695,0.00085916417,0.0015003713,0.0045332406],"category_scores_gemma":[0.005089107,0.0001248656,0.00012989451,0.0005577224,0.002012582,0.0011508688,0.003431955,0.0016823715,0.00018951438],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004192264,0.0007288937,0.5685101,0.0001644897,0.0000615036,0.0030853737,0.37173125,0.0011010543,0.0015700336,0.008147204,0.008987134,0.03549361],"study_design_scores_gemma":[0.000011693092,0.00012273712,0.25311428,0.00006393702,0.000013893654,0.00013586979,0.7276743,0.0013502269,0.00027278895,0.0013455845,0.015867336,0.000027368442],"about_ca_topic_score_codex":0.052160736,"about_ca_topic_score_gemma":0.13466272,"teacher_disagreement_score":0.052160736,"about_ca_system_score_codex":0.0038271511,"about_ca_system_score_gemma":0.0040411567,"threshold_uncertainty_score":0.10371429},"labels":[],"label_agreement":null},{"id":"W2909063510","doi":"10.1007/s10584-018-2345-5","title":"Community-based responses to climate hazards: typology and global analysis","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Typology; Climate change; Environmental resource management; Corporate governance; Adaptation (eye); Climate change adaptation; Environmental planning; Local community; Global warming; Diversity (politics); Geography; Political science; Business; Environmental science; Ecology; Psychology","score_opus":0.06910531384973766,"score_gpt":0.3714186664607464,"score_spread":0.3023133526110087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909063510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9515157,0.0018507598,0.020726075,0.00081182044,0.000030897194,0.0012289728,0.0021329822,0.00008533951,0.021617522],"genre_scores_gemma":[0.98865926,0.00051070895,0.008505447,0.00007139751,0.000010063042,0.0008845956,0.00095640845,0.00003423241,0.00036792512],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99061817,0.005876863,0.0009721514,0.0008849293,0.001153865,0.00049410213],"domain_scores_gemma":[0.97245795,0.018755808,0.0031634795,0.0028272432,0.002457291,0.00033815505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014946494,0.0004654455,0.000759304,0.017449906,0.0014081179,0.0035602637,0.0011774376,0.0008016305,0.005076683],"category_scores_gemma":[0.025130115,0.00021427436,0.0008541983,0.017370185,0.0037162495,0.004436578,0.0056312582,0.0005622847,0.00025837048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024357128,0.00011249445,0.67310685,0.0036485817,0.000850472,0.00090087135,0.14709139,0.005012859,0.0017976133,0.039674904,0.002869083,0.12469143],"study_design_scores_gemma":[0.000047288693,0.00029928543,0.564091,0.001758942,0.00038377335,0.0010789824,0.33894992,0.0134291,0.00087444676,0.053133808,0.025828859,0.00012459398],"about_ca_topic_score_codex":0.0027590836,"about_ca_topic_score_gemma":0.0041577043,"teacher_disagreement_score":0.017449906,"about_ca_system_score_codex":0.0029485268,"about_ca_system_score_gemma":0.0012190812,"threshold_uncertainty_score":0.079045534},"labels":[],"label_agreement":null},{"id":"W2910550039","doi":"10.1007/s10584-018-2311-2","title":"How do Canadian media report climate change impacts on health? A newspaper review","year":2019,"lang":"en","type":"review","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Agency of Canada; Memorial University of Newfoundland; McMaster University; University of Alberta; University of Guelph","funders":"Canadian Institutes of Health Research","keywords":"Climate change; Newspaper; Geography; Public health; Effects of global warming; Human health; Environmental resource management; Global warming; Environmental planning; Political science; Environmental science; Environmental health; Ecology; Medicine","score_opus":0.822497318749955,"score_gpt":0.5516194391536662,"score_spread":0.27087787959628884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910550039","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019020044,0.99621296,0.000018172252,0.0018053711,0.00038662963,0.000012234785,0.00028199994,0.000004196757,0.0010882808],"genre_scores_gemma":[0.0021153053,0.9958696,0.00006053297,0.0012692244,0.00028023685,0.0000121568755,0.000092163136,0.0000017270917,0.0002990668],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9981804,0.00030482764,0.00024053147,0.00017019954,0.00093322905,0.00017082576],"domain_scores_gemma":[0.9866479,0.006761951,0.001483123,0.00014639532,0.004517659,0.00044291074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040791607,0.0010678356,0.0017572666,0.01180952,0.001217285,0.0036391595,0.0010616098,0.0017257452,0.006025135],"category_scores_gemma":[0.015513106,0.00051743985,0.0012107465,0.019930623,0.0013757803,0.0015457629,0.0009383212,0.0017712547,0.0006235773],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016094667,0.00006990527,0.00397471,0.1577548,0.0016821243,0.00019032875,0.0010213183,0.00021694432,0.0003736409,0.0026474185,0.17943224,0.65247566],"study_design_scores_gemma":[0.000059005535,0.00006123738,0.030589566,0.14795473,0.0056935987,0.0002440376,0.001723094,0.00009182909,0.0002517981,0.0009949966,0.812229,0.00010711486],"about_ca_topic_score_codex":0.57914495,"about_ca_topic_score_gemma":0.7569187,"teacher_disagreement_score":0.42085505,"about_ca_system_score_codex":0.013554726,"about_ca_system_score_gemma":0.047585838,"threshold_uncertainty_score":0.84666705},"labels":[],"label_agreement":null},{"id":"W2911488095","doi":"10.1007/s10584-019-02378-w","title":"Missed opportunities: the absence of climate change in media coverage of forest fire events in Alberta","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Genome Alberta; Genome Canada","keywords":"Climate change; Extreme weather; Threatened species; Geography; Global warming; Newspaper; Livelihood; Environmental resource management; Environmental science; Agriculture; Ecology; Political science","score_opus":0.47415417850478464,"score_gpt":0.41380734161092786,"score_spread":0.06034683689385678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911488095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923538,0.00031406822,0.00008247364,0.0012408805,0.000032290398,0.0000059198833,0.0009472288,0.0000065024146,0.0050169416],"genre_scores_gemma":[0.99803096,0.00016741786,0.000050088554,0.0001228046,0.000015817606,0.0000042835272,0.00032793896,0.0000049393643,0.0012757231],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9991326,0.00013687971,0.000039275077,0.00012076758,0.0002934606,0.00027700764],"domain_scores_gemma":[0.99349594,0.0018643865,0.0013857025,0.00022186698,0.0019454993,0.0010865954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013123646,0.0001480831,0.00020413032,0.0017508933,0.0017090832,0.0025300763,0.0013648026,0.00074717624,0.003038127],"category_scores_gemma":[0.006626269,0.00024525909,0.00016181837,0.0032706812,0.0009425979,0.0008677085,0.0013593017,0.00091891043,0.00016926156],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035607052,0.000088695444,0.96816283,0.0000530083,0.00009052791,0.00029780358,0.012687728,0.00037807136,0.00079296937,0.0006384565,0.003323595,0.013130302],"study_design_scores_gemma":[0.0000022734937,0.0000065771546,0.9878214,0.000021456031,0.000011596051,0.000020712789,0.010321167,0.00023783288,0.00006329608,0.000048635407,0.0014374366,0.000007595772],"about_ca_topic_score_codex":0.96230215,"about_ca_topic_score_gemma":0.9844698,"teacher_disagreement_score":0.03769785,"about_ca_system_score_codex":0.0085701,"about_ca_system_score_gemma":0.007521562,"threshold_uncertainty_score":0.0758397},"labels":[],"label_agreement":null},{"id":"W2913926258","doi":"10.1023/a:1010643311116","title":"A Cautionary Note on the Use of Seasonally Varying Thresholds to Assess Temperature Extremes. Comments on `The Use of Indices to Identify Changes in Climatic Extremes'","year":2001,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science","score_opus":0.3620956271257078,"score_gpt":0.3528203947702123,"score_spread":0.009275232355495489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913926258","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007678084,0.0017604524,0.0024981291,0.94089305,0.049678065,0.000053907974,0.00044961006,0.00028716377,0.0036118554],"genre_scores_gemma":[0.0040779896,0.0007504957,0.0041362187,0.96416867,0.019382365,0.00010707156,0.00006502157,0.00014395265,0.0071682325],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97933596,0.0059668724,0.0041410127,0.0028583452,0.00640119,0.0012966471],"domain_scores_gemma":[0.89347965,0.062291436,0.006463033,0.0038506982,0.03094687,0.0029683379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022080151,0.0018656257,0.0025279496,0.0015725953,0.006013267,0.0049205,0.011540953,0.037259504,0.008392687],"category_scores_gemma":[0.11910967,0.0020107795,0.003938515,0.0022262903,0.011256437,0.0078022373,0.0036938954,0.06898799,0.009489643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075920216,0.000026609589,0.00091451243,0.00022992812,0.000057877976,0.0005295339,0.0008101381,0.00027692656,0.00073003164,0.007837876,0.98256797,0.0059426627],"study_design_scores_gemma":[0.00010942537,0.00012744316,0.008692291,0.0012913919,0.00011826131,0.0014969297,0.0021869072,0.0015090724,0.0022074387,0.02499596,0.9566907,0.0005740708],"about_ca_topic_score_codex":0.07893256,"about_ca_topic_score_gemma":0.11110515,"teacher_disagreement_score":0.07893256,"about_ca_system_score_codex":0.003887522,"about_ca_system_score_gemma":0.006266291,"threshold_uncertainty_score":0.15694624},"labels":[],"label_agreement":null},{"id":"W2914048120","doi":"10.1007/s10584-019-02374-0","title":"Growing season and radial growth predicted for Fagus sylvatica under climate change","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Univerza v Ljubljani; U.S. Forest Service; Javna Agencija za Raziskovalno Dejavnost RS; Université du Québec à Chicoutimi","keywords":"Phenology; Fagus sylvatica; Xylem; Beech; Climate change; Growing season; Precipitation; Environmental science; Global warming; Climatology; Ecology; Geography; Biology; Botany; Geology","score_opus":0.04955241566821237,"score_gpt":0.25076671485622437,"score_spread":0.201214299188012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914048120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998936,0.00003152943,0.00012447711,0.000017147568,0.0000035267014,0.000001090845,0.00051672646,0.000011459033,0.000357975],"genre_scores_gemma":[0.9990796,0.000015891046,0.00004973547,0.000005894268,0.0000021903588,0.0000018230044,0.00059712684,0.0000039859565,0.0002438424],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999323,0.000017109578,0.000002908588,0.000020598096,0.0000071295517,0.000019980987],"domain_scores_gemma":[0.9993511,0.00032761547,0.00009359622,0.00004196758,0.000080592254,0.00010512714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036021846,0.00021303802,0.00012485131,0.00027673537,0.0001811405,0.00033715478,0.00020260604,0.00034955138,0.0017819842],"category_scores_gemma":[0.00075231976,0.00013003555,0.00032254012,0.00017087278,0.0001440196,0.0002541477,0.00015176566,0.0002450992,0.00042067905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094848796,0.000100480356,0.9513944,0.00003294924,0.00012185972,0.00016924598,0.00021082073,0.018109256,0.024489697,0.00041992855,0.0006539332,0.0033490034],"study_design_scores_gemma":[0.0000061368546,0.000033061,0.99007577,0.0000020155303,0.000013673997,0.000055243552,0.00006690108,0.008862877,0.0005829303,0.000064920896,0.00023114629,0.000005301492],"about_ca_topic_score_codex":0.014569367,"about_ca_topic_score_gemma":0.027415756,"teacher_disagreement_score":0.014569367,"about_ca_system_score_codex":0.00043350566,"about_ca_system_score_gemma":0.00018066425,"threshold_uncertainty_score":0.028969109},"labels":[],"label_agreement":null},{"id":"W2914496127","doi":"10.1007/s10584-019-02383-z","title":"Climate services for whom? The political economics of contextualizing climate data in Louisiana’s coastal Master Plan","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Association of American Geographers","keywords":"Framing (construction); Downscaling; Climate change; Climate justice; Stakeholder; Environmental resource management; Politics; Political economy of climate change; Adaptation (eye); Political science; Environmental planning; Business; Economics; Public relations; Geography","score_opus":0.1599730985546182,"score_gpt":0.2899339741727298,"score_spread":0.12996087561811162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914496127","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15481259,0.00075162074,0.002427443,0.65039885,0.0002952533,0.000096896925,0.0003321362,0.0000386167,0.1908466],"genre_scores_gemma":[0.9380854,0.00045893775,0.0014533658,0.04372598,0.0003425305,0.00012017256,0.00007247785,0.000040261748,0.015700955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9866144,0.0071279886,0.0002110298,0.00076082646,0.0013875745,0.0038981456],"domain_scores_gemma":[0.948743,0.03507431,0.0021609417,0.0012917264,0.0039030162,0.008826993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024186037,0.0002599484,0.00039752715,0.0013912752,0.013131513,0.01674191,0.0017257335,0.0071918294,0.014133971],"category_scores_gemma":[0.04894345,0.0005547577,0.00039377148,0.0016653888,0.010729107,0.0067566796,0.0081928335,0.01119463,0.0006398915],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019800368,0.0003072552,0.04361559,0.00007013125,0.00011489481,0.0004810749,0.013641807,0.004720367,0.0004896102,0.7714042,0.11872632,0.0462308],"study_design_scores_gemma":[0.00020577319,0.00014773756,0.051504444,0.0007686994,0.0001971741,0.00012849833,0.07111993,0.013938586,0.0011071942,0.3874841,0.47311506,0.00028284075],"about_ca_topic_score_codex":0.3353133,"about_ca_topic_score_gemma":0.5759703,"teacher_disagreement_score":0.3353133,"about_ca_system_score_codex":0.028062144,"about_ca_system_score_gemma":0.054387607,"threshold_uncertainty_score":0.66672313},"labels":[],"label_agreement":null},{"id":"W2917481781","doi":"10.1007/s10584-019-02393-x","title":"Bias correcting climate model multi-member ensembles to assess climate change impacts on hydrology","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Pooling; Environmental science; Climatology; Calibration; Climate change; Climate model; Forcing (mathematics); Precipitation; Statistics; Ensemble average; Econometrics; Computer science; Meteorology; Mathematics; Geography; Geology","score_opus":0.19016374875948824,"score_gpt":0.32703541818855314,"score_spread":0.1368716694290649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917481781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8953372,0.00048138516,0.09743139,0.00037870972,0.00026523232,0.00010110225,0.0018556971,0.0015709363,0.002578305],"genre_scores_gemma":[0.9629447,0.000092426,0.034679204,0.00008032959,0.000048639868,0.000069879214,0.001209746,0.00013150372,0.00074356596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994671,0.00022960361,0.000036974176,0.000098317054,0.00009968035,0.00006833664],"domain_scores_gemma":[0.99673045,0.0013714568,0.0002885565,0.00061099825,0.000831063,0.00016747053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004158619,0.00061182026,0.0007714461,0.00087527634,0.00060227374,0.00072076556,0.0009191178,0.0011606148,0.0010563406],"category_scores_gemma":[0.008754016,0.00049737847,0.00088972086,0.0009772358,0.00022425252,0.0012038184,0.00084826146,0.001071885,0.0002532952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019393135,0.00012265604,0.03377493,0.00003134547,0.0005836766,0.00003646021,0.00004504167,0.9288891,0.0020458421,0.0008878972,0.0014287395,0.031960454],"study_design_scores_gemma":[0.000034889366,0.000028433185,0.006756283,0.000005634607,0.000053168682,0.000007719744,0.000010200173,0.9909197,0.0010586574,0.0007558621,0.00035387342,0.000015543605],"about_ca_topic_score_codex":0.027057717,"about_ca_topic_score_gemma":0.02777933,"teacher_disagreement_score":0.027057717,"about_ca_system_score_codex":0.00082555244,"about_ca_system_score_gemma":0.0017132857,"threshold_uncertainty_score":0.053800404},"labels":[],"label_agreement":null},{"id":"W2917498646","doi":"10.1007/s10584-019-02386-w","title":"Local practitioners’ use of vulnerability and resilience concepts in adaptation to flood hazards","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Waterloo; Toronto Metropolitan University","funders":"International Development Research Centre","keywords":"Vulnerability (computing); Disaster risk reduction; Operationalization; Resilience (materials science); Flood myth; Adaptation (eye); Natural hazard; Environmental resource management; Psychological resilience; Environmental planning; Risk analysis (engineering); Psychology; Geography; Computer science; Social psychology; Business; Environmental science; Computer security; Epistemology","score_opus":0.07823590389864886,"score_gpt":0.3573070928968999,"score_spread":0.279071188998251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917498646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74136716,0.0065848026,0.025703458,0.1016343,0.0005388251,0.00022380704,0.00005683141,0.0001159563,0.12377484],"genre_scores_gemma":[0.99193937,0.0013630796,0.0031925954,0.0017563101,0.000034613808,0.000056015226,0.00000848353,0.000023708119,0.0016258472],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.97058904,0.02477939,0.0009674094,0.0006506132,0.0017708401,0.0012427423],"domain_scores_gemma":[0.9279331,0.059291042,0.00273107,0.0016993976,0.005412451,0.0029329625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.041167784,0.00037409365,0.00036586772,0.0030186668,0.0056554284,0.0068208924,0.0014458136,0.0030893309,0.0054127136],"category_scores_gemma":[0.06810138,0.0004004971,0.00041111495,0.0028710684,0.013257067,0.006378334,0.0076961387,0.004847875,0.00033803663],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034265355,0.000061115774,0.005699945,0.00038585416,0.0000149626885,0.0006628499,0.9263037,0.0004405574,0.00050166645,0.028428266,0.0027324,0.03473442],"study_design_scores_gemma":[0.000019385137,0.00008764243,0.005803583,0.0010939519,0.000030044828,0.0006301938,0.9308215,0.00088470493,0.0003646023,0.01707319,0.04313608,0.00005509146],"about_ca_topic_score_codex":0.010587748,"about_ca_topic_score_gemma":0.023037592,"teacher_disagreement_score":0.041167784,"about_ca_system_score_codex":0.0067174574,"about_ca_system_score_gemma":0.012226656,"threshold_uncertainty_score":0.21771866},"labels":[],"label_agreement":null},{"id":"W2946700557","doi":"10.1007/s10584-019-02457-y","title":"Climatic variations within the dry valleys in southwestern China and the influences of artificial reservoirs","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Science Foundation of Beijing Municipality; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Precipitation; Climate change; Dry season; Evapotranspiration; Environmental science; Climatology; Dry climate; China; Dry forest; Physical geography; Climate variation; Hydrology (agriculture); Geology; Geography; Meteorology; Oceanography; Ecology","score_opus":0.02639803633016474,"score_gpt":0.24455737296350563,"score_spread":0.2181593366333409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946700557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99974173,0.00003843724,0.000015552161,0.000019205234,0.0000016843895,7.7489483e-7,0.000047871607,9.225126e-7,0.00013382333],"genre_scores_gemma":[0.9997942,0.00003592033,0.000015882195,0.000004699399,0.000004355441,0.0000011119321,0.00007485669,6.5590916e-7,0.00006829847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975115,0.00006147697,0.000026458696,0.000067872184,0.00003022511,0.00006278612],"domain_scores_gemma":[0.99943095,0.00009288696,0.00022530854,0.000041091018,0.00007367443,0.00013613467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004041115,0.00015301195,0.0001680354,0.00081644783,0.0004922082,0.00060258526,0.00028265588,0.00019404119,0.0006287786],"category_scores_gemma":[0.0006003267,0.00017022603,0.0002399146,0.00140332,0.0007583755,0.0004465577,0.00035085776,0.00021363074,0.000058867652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004140193,0.000023569106,0.9966403,0.000008072666,0.000041885407,0.00012775738,0.00046105933,0.00016799523,0.0008263052,0.00010915365,0.000060283764,0.001492189],"study_design_scores_gemma":[0.0000010233239,0.0000033019662,0.99959034,7.4759885e-7,0.000003804852,0.0000139389695,0.00017331363,0.00012546043,0.000017228407,0.000011521489,0.000058267608,0.0000011269775],"about_ca_topic_score_codex":0.033726327,"about_ca_topic_score_gemma":0.09791598,"teacher_disagreement_score":0.033726327,"about_ca_system_score_codex":0.0008819057,"about_ca_system_score_gemma":0.0007513092,"threshold_uncertainty_score":0.06706005},"labels":[],"label_agreement":null},{"id":"W2946713204","doi":"10.1007/s10584-019-02465-y","title":"Substantial increase in minimum lake surface temperatures under climate change","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Reading; Natural Environment Research Council; European Commission; Sight Research UK; Global Lake Ecological Observatory Network","keywords":"Environmental science; Climate change; Biogeochemical cycle; Surface water; Climatology; Ecosystem; Global warming; Lake ecosystem; Atmospheric sciences; Maximum temperature; Surface air temperature; Hydrology (agriculture); Physical geography; Ecology; Oceanography; Geography; Geology; Biology","score_opus":0.02422043729613146,"score_gpt":0.24336702123636358,"score_spread":0.21914658394023212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946713204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986235,0.00018111605,0.00027874782,0.000045554047,0.0000056962467,0.0000012782101,0.0003083454,0.000009654968,0.0005460822],"genre_scores_gemma":[0.9995585,0.000050351526,0.00007832391,0.000016579947,0.000006912452,0.0000016429008,0.00022024315,0.0000018546632,0.00006557263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998367,0.000027982269,0.000016839656,0.000056792123,0.000032439202,0.000029259909],"domain_scores_gemma":[0.9995627,0.000067153545,0.00022620897,0.000034002238,0.000076103934,0.000033891258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031219763,0.00009928434,0.00018294483,0.0002829336,0.00021505602,0.00048174203,0.00012900268,0.00027027627,0.0008016095],"category_scores_gemma":[0.00078764226,0.00010385193,0.00019335563,0.00044365684,0.00026351277,0.0003507036,0.00036073927,0.00017848203,0.000105177925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010556915,0.000012502875,0.9699201,0.00007105505,0.00013553073,0.0001374006,0.0004360924,0.00068802846,0.019805072,0.00018772665,0.00041501835,0.008085858],"study_design_scores_gemma":[8.723328e-7,0.000007730721,0.99903846,0.0000018880486,0.000005866143,0.000030825635,0.00005415699,0.00014332867,0.00031300692,0.000031350686,0.00037069246,0.0000017703251],"about_ca_topic_score_codex":0.003976213,"about_ca_topic_score_gemma":0.006923895,"teacher_disagreement_score":0.003976213,"about_ca_system_score_codex":0.0002753576,"about_ca_system_score_gemma":0.00021576625,"threshold_uncertainty_score":0.007906139},"labels":[],"label_agreement":null},{"id":"W2960160780","doi":"10.1007/s10584-019-02489-4","title":"Ignoring Indigenous peoples—climate change, oil development, and Indigenous rights clash in the Arctic National Wildlife Refuge","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"U.S. Department of Justice","keywords":"Indigenous; Livelihood; Climate change; Politics; Context (archaeology); Indigenous rights; Political science; Environmental resource management; Geography; Natural resource; Traditional knowledge; Wildlife; Arctic; Environmental planning; Economic growth; Law; Ecology; Economics","score_opus":0.08974288729806995,"score_gpt":0.35975425819556855,"score_spread":0.2700113708974986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960160780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726595,0.0007535234,0.00003392123,0.014516181,0.00011907467,0.0000102213935,0.00002471779,0.000001360127,0.011881406],"genre_scores_gemma":[0.99639386,0.00077148585,0.000027285594,0.0013120081,0.000038068956,0.0000080374875,0.0000098803785,0.0000019175222,0.0014374064],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9967784,0.0010855724,0.00008401939,0.0001348286,0.00027624692,0.0016409656],"domain_scores_gemma":[0.9958633,0.0009407302,0.0007634313,0.000101511745,0.0003481723,0.0019828053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030702427,0.00016569352,0.00040265045,0.0008067752,0.015344551,0.0038589232,0.0012163648,0.0017268322,0.004055647],"category_scores_gemma":[0.005865044,0.0002690748,0.0003293266,0.0013579897,0.007049872,0.0026660312,0.006625714,0.0048240917,0.0001481067],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102342536,0.00043067234,0.19574147,0.00015132807,0.00007151007,0.0017574725,0.7609835,0.0001404041,0.00033466954,0.009945058,0.0053616804,0.024979874],"study_design_scores_gemma":[0.0000035723278,0.000024946088,0.050289724,0.000097039796,0.000012014551,0.00012073666,0.94394064,0.0000336651,0.000037330487,0.0007229623,0.0047057224,0.000011751691],"about_ca_topic_score_codex":0.47945088,"about_ca_topic_score_gemma":0.72517145,"teacher_disagreement_score":0.47945088,"about_ca_system_score_codex":0.0073359134,"about_ca_system_score_gemma":0.021392254,"threshold_uncertainty_score":0.9533203},"labels":[],"label_agreement":null},{"id":"W2971678736","doi":"10.1007/s10584-019-02545-z","title":"Influence of instrumentation on long temperature time series","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Homogeneity (statistics); Classification of discontinuities; Instrumentation (computer programming); Environmental science; Heat wave; Climatology; Meteorology; Peninsula; Climate change; Series (stratigraphy); Physical geography; Statistics; Geology; Geography; Computer science; Mathematics","score_opus":0.016608580571089212,"score_gpt":0.23587147308943582,"score_spread":0.2192628925183466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971678736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9244389,0.0016822369,0.061871342,0.0015813767,0.00061039266,0.00006507328,0.0017946699,0.0010751248,0.0068809297],"genre_scores_gemma":[0.9944865,0.0003419771,0.0035777139,0.00017635585,0.00007874067,0.000023881286,0.00075974595,0.00024081688,0.00031432416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9963934,0.0019131032,0.00031342453,0.0006644398,0.00047098455,0.00024462896],"domain_scores_gemma":[0.90695506,0.078903146,0.00416987,0.006844733,0.0026280186,0.00049919164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0084189745,0.0007252894,0.00044445746,0.00053515634,0.00066056295,0.0015292022,0.0005897889,0.0010989389,0.00153691],"category_scores_gemma":[0.08084808,0.0003802271,0.0005054238,0.0016585309,0.0010534283,0.0020041706,0.0011980964,0.0012073945,0.0002347521],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00237696,0.0002936549,0.25786835,0.0006465685,0.00059009454,0.0005299066,0.0008143009,0.6185852,0.024963966,0.007651342,0.0027228454,0.08295686],"study_design_scores_gemma":[0.000202325,0.00038823843,0.33948806,0.00020362853,0.00045132136,0.00031225898,0.0003058583,0.6129334,0.02868384,0.008715889,0.008172128,0.000143],"about_ca_topic_score_codex":0.010403796,"about_ca_topic_score_gemma":0.008001787,"teacher_disagreement_score":0.010403796,"about_ca_system_score_codex":0.00094787957,"about_ca_system_score_gemma":0.0008491037,"threshold_uncertainty_score":0.044524312},"labels":[],"label_agreement":null},{"id":"W2972468286","doi":"10.1007/s10584-019-02550-2","title":"Impact of internal variability on climate change for the upcoming decades: analysis of the CanESM2-LE and CESM-LE large ensembles","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ouranos","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec; Environment and Climate Change Canada; U.S. Department of Energy; National Science Foundation","keywords":"Climate change; Pace; Greenhouse gas; Environmental science; Climatology; Climate model; Slowdown; Global warming; Atmospheric sciences; Geography; Physics; Economics; Geology","score_opus":0.045945843605712564,"score_gpt":0.30200404206597725,"score_spread":0.2560581984602647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972468286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98770267,0.00038547724,0.006556995,0.00036701045,0.00008050222,0.000030098183,0.0029386904,0.00022969107,0.0017089007],"genre_scores_gemma":[0.993182,0.00011335755,0.002330041,0.000059933696,0.000034880755,0.000031331947,0.0039979657,0.00004021291,0.00021014673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996345,0.000112319474,0.000023999826,0.00008640362,0.000081046084,0.00006179819],"domain_scores_gemma":[0.9980488,0.0008814348,0.00016170337,0.00032015805,0.00041721432,0.00017073256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027492205,0.0008404087,0.0008801642,0.0007145175,0.0006726999,0.0010234684,0.0010049131,0.0011416934,0.0007115022],"category_scores_gemma":[0.0035164459,0.0003481252,0.0018470427,0.0010485372,0.00046423118,0.0011839585,0.00076113176,0.0012679766,0.00015558841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018456715,0.00014121042,0.07898747,0.00005869473,0.00070838846,0.00019384037,0.000049679125,0.907239,0.0015122509,0.0010235308,0.0021390684,0.0077622896],"study_design_scores_gemma":[0.000027401256,0.000037528123,0.03876282,0.00001343067,0.00010196923,0.000025752199,0.00005197832,0.95890594,0.00071711437,0.00044485243,0.0008740242,0.00003717583],"about_ca_topic_score_codex":0.033822812,"about_ca_topic_score_gemma":0.027355764,"teacher_disagreement_score":0.033822812,"about_ca_system_score_codex":0.0008382721,"about_ca_system_score_gemma":0.0007377396,"threshold_uncertainty_score":0.06725186},"labels":[],"label_agreement":null},{"id":"W2972819509","doi":"10.1007/s10584-019-02533-3","title":"A policy mixes approach to conceptualizing and measuring climate change adaptation policy","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Adaptation (eye); Conceptualization; Context (archaeology); Climate change adaptation; Climate change; Policy analysis; Political science; Environmental resource management; Regional science; Public administration; Sociology; Economics; Computer science; Geography; Psychology; Ecology","score_opus":0.3397069836473016,"score_gpt":0.3633884773328337,"score_spread":0.023681493685532073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972819509","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01589875,0.0017059373,0.8264927,0.04575051,0.00045831053,0.00078347407,0.0012483862,0.00037435265,0.1072875],"genre_scores_gemma":[0.5767857,0.0023685652,0.4047695,0.0022200854,0.0005538639,0.0029089525,0.00061085774,0.0001744551,0.009608062],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97537744,0.017070858,0.0015427913,0.0014656663,0.0037177743,0.00082548254],"domain_scores_gemma":[0.975008,0.016805816,0.0027246645,0.0014218902,0.002903267,0.0011363146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025017831,0.0021022533,0.0018273349,0.013232637,0.003311941,0.014560653,0.004391523,0.0044937762,0.012722678],"category_scores_gemma":[0.03880382,0.0014921211,0.0018439428,0.009597248,0.006247864,0.021282494,0.0069239633,0.0072094365,0.0010395106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012228553,0.00003848103,0.0005384878,0.00009164551,0.000089856476,0.00003334158,0.0003962586,0.010371169,0.000098131684,0.98077065,0.0011717252,0.0063881334],"study_design_scores_gemma":[0.000018127072,0.00003964811,0.0005692769,0.00017474072,0.000067738925,0.000037435002,0.0012842624,0.03180074,0.00038074687,0.9445905,0.021004839,0.00003196582],"about_ca_topic_score_codex":0.007374204,"about_ca_topic_score_gemma":0.0070674215,"teacher_disagreement_score":0.025017831,"about_ca_system_score_codex":0.017441455,"about_ca_system_score_gemma":0.011252755,"threshold_uncertainty_score":0.13230848},"labels":[],"label_agreement":null},{"id":"W2980721422","doi":"10.1007/s10584-019-02530-6","title":"Assessment of the Laurentian Great Lakes’ hydrological conditions in a changing climate","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs; Ouranos; Université Laval; Ministère des Ressources naturelles et des Forêts","funders":"Compute Canada; Université du Québec à Montréal; Mitacs; McGill University","keywords":"Environmental science; Precipitation; Surface runoff; Climatology; Climate change; Drainage basin; Structural basin; Potential evaporation; Hydrology (agriculture); Atmospheric sciences; Meteorology; Geology; Geography; Ecology","score_opus":0.024617302191715398,"score_gpt":0.27102252175078706,"score_spread":0.24640521955907166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980721422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828845,0.000035693167,0.00019831798,0.00005680025,0.000002878564,0.0000062862887,0.0003066797,0.000023784736,0.0010811584],"genre_scores_gemma":[0.9991135,0.000023410834,0.00030579424,0.000013190867,0.0000023526895,0.0000072767734,0.00035046748,0.000004083173,0.00017986904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99984646,0.000057309117,0.000007341725,0.00003640868,0.000026267868,0.000026149593],"domain_scores_gemma":[0.9997321,0.00008857269,0.000056141627,0.000034921482,0.000050025053,0.000038238337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055376557,0.0004310766,0.00033928757,0.0003381625,0.00034171634,0.00074513763,0.0005103513,0.00039118872,0.0006528467],"category_scores_gemma":[0.0008886348,0.00021849689,0.0005774474,0.0003911134,0.00035372144,0.00033754247,0.0003936399,0.00024696547,0.00007310557],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001643676,0.00010739738,0.1564027,0.000038619757,0.00035328616,0.00044003266,0.00012607429,0.83391255,0.0021736836,0.0005206776,0.0009064909,0.0048541655],"study_design_scores_gemma":[0.00013854094,0.00026312924,0.14964859,0.00001816049,0.000117820164,0.0000897616,0.00031676822,0.8448495,0.0022004917,0.00039480606,0.001916499,0.0000458715],"about_ca_topic_score_codex":0.08554712,"about_ca_topic_score_gemma":0.08634832,"teacher_disagreement_score":0.9144529,"about_ca_system_score_codex":0.0013357671,"about_ca_system_score_gemma":0.0008357709,"threshold_uncertainty_score":0.17009836},"labels":[],"label_agreement":null},{"id":"W2981869548","doi":"10.1007/s10584-019-02571-x","title":"Adaptation to climate change in coastal communities: findings from seven sites on four continents","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Social Sciences and Humanities Research Council of Canada; Ministry of Earth Sciences; Russian Foundation for Basic Research; Agence Nationale de la Recherche","keywords":"Climate change; Livelihood; Adaptation (eye); Environmental resource management; Geography; Temperate climate; Environmental change; Arctic; Ecology; Environmental science; Agriculture","score_opus":0.24980288804226078,"score_gpt":0.34668532013140707,"score_spread":0.09688243208914629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981869548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997328,0.000018407098,0.000020923664,0.000009770802,7.892299e-7,0.000006301618,0.00004863065,5.2229524e-7,0.00016172617],"genre_scores_gemma":[0.99944395,0.00006105761,0.00013966979,0.000022523145,0.000001781215,0.000029113666,0.00015290634,0.000001111604,0.00014780347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936014,0.00027460404,0.000044566626,0.00008682267,0.00007494317,0.00015889849],"domain_scores_gemma":[0.99815494,0.00049696007,0.00036504175,0.00013683345,0.00045688768,0.0003892535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009682724,0.00031026837,0.0004136401,0.001310801,0.0026503052,0.0012324555,0.0006409565,0.0005498923,0.000829858],"category_scores_gemma":[0.0019459964,0.0002614604,0.00043483707,0.0034636834,0.0013308446,0.0006087906,0.0021157104,0.00051097776,0.00013917442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086361564,0.00012110563,0.97625595,0.000043046064,0.00006810451,0.00019050938,0.018818272,0.00008985896,0.000759801,0.00004170465,0.00009336755,0.0034320187],"study_design_scores_gemma":[0.000005882459,0.00005956658,0.9618233,0.000013467254,0.000030951607,0.00007500472,0.03757604,0.00007294896,0.000092168295,0.00002063474,0.00022361457,0.0000064925316],"about_ca_topic_score_codex":0.10315236,"about_ca_topic_score_gemma":0.28124818,"teacher_disagreement_score":0.10315236,"about_ca_system_score_codex":0.00090681715,"about_ca_system_score_gemma":0.0013102476,"threshold_uncertainty_score":0.20510387},"labels":[],"label_agreement":null},{"id":"W2991698859","doi":"10.1007/s10584-019-02591-7","title":"Probable maximum precipitation in a warming climate over North America in CanRCM4 and CRCM5","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Pacific Institute for Climate Solutions; University of Victoria","funders":"Global Water Futures","keywords":"Precipitation; Climatology; Environmental science; Global warming; Climate simulation; Climate change; Atmospheric sciences; Meteorology; Climate model; Geography; Oceanography; Geology","score_opus":0.027909231746205333,"score_gpt":0.24619040332144423,"score_spread":0.2182811715752389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991698859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99204093,0.00016756252,0.00042792145,0.00038245684,0.000027077336,0.00000717541,0.004689585,0.000087498294,0.0021698282],"genre_scores_gemma":[0.99618655,0.000037036734,0.00035349262,0.000034083838,0.00002001411,0.00000907967,0.0029926605,0.00001630839,0.00035072715],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997923,0.000050956387,0.000013763651,0.000070600894,0.000021545076,0.00005086414],"domain_scores_gemma":[0.99900395,0.00030386486,0.00018867434,0.000101873746,0.00018478521,0.00021689996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008820523,0.00023394838,0.000297301,0.00074345875,0.0009345386,0.0009061551,0.000795177,0.0009760816,0.0022895988],"category_scores_gemma":[0.0017840314,0.00031803714,0.0005148285,0.0011694155,0.00047004907,0.0005455093,0.0004373534,0.00057789095,0.00022776646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013711347,0.000106213214,0.8164835,0.00010828278,0.00037190647,0.0004694025,0.00039316007,0.15966521,0.00294106,0.0022929532,0.010132752,0.0056643593],"study_design_scores_gemma":[0.00011987482,0.000031742074,0.9224026,0.000016419226,0.00007123058,0.000097827135,0.00034733588,0.07203407,0.0008116348,0.00081172,0.0032212853,0.000034336234],"about_ca_topic_score_codex":0.16173473,"about_ca_topic_score_gemma":0.24768502,"teacher_disagreement_score":0.8382653,"about_ca_system_score_codex":0.0017350807,"about_ca_system_score_gemma":0.0010241474,"threshold_uncertainty_score":0.32158667},"labels":[],"label_agreement":null},{"id":"W3002017301","doi":"10.1007/s10584-019-02647-8","title":"“The best scientists are the people that’s out there”: Inuit-led integrated environment and health monitoring to respond to climate change in the Circumpolar North","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Nunavut; Government of Newfoundland and Labrador; Memorial University of Newfoundland; University of Alberta; University of Guelph","funders":"Canadian Institutes of Health Research; Polar Knowledge Canada","keywords":"Circumpolar star; Climate change; Thematic analysis; General partnership; Government (linguistics); Reciprocity (cultural anthropology); Environmental resource management; Community engagement; Damages; Environmental planning; Grounded theory; Geography; Political science; Sociology; Public relations; Qualitative research; Ecology; Environmental science; Social science","score_opus":0.21164691140208047,"score_gpt":0.40065863495532045,"score_spread":0.18901172355323997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002017301","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14808583,0.0017420719,0.0020811372,0.8191247,0.0021577158,0.00023392127,0.00009457874,0.00006710917,0.026412934],"genre_scores_gemma":[0.81790197,0.0025196357,0.0066744476,0.15512782,0.0006703328,0.00026834419,0.00007760003,0.000076411015,0.016683403],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9947537,0.0031936166,0.00013814289,0.00027807814,0.0006060956,0.001030395],"domain_scores_gemma":[0.99074835,0.0014619613,0.00053688616,0.000207087,0.0016062201,0.005439422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009983877,0.00028004538,0.00016905462,0.00050009985,0.012882871,0.00408576,0.0017313048,0.003095462,0.003739774],"category_scores_gemma":[0.012701869,0.00029815597,0.00021646066,0.00055128115,0.003529682,0.0028213933,0.0055142557,0.005424149,0.00029477637],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018415507,0.0010801275,0.1329248,0.00070875284,0.00017048768,0.0021411588,0.34667945,0.000813183,0.007033899,0.017489893,0.23952188,0.25125232],"study_design_scores_gemma":[0.000057643712,0.00037576235,0.12981333,0.001239277,0.00013028995,0.00034506302,0.61847997,0.0012411096,0.00245459,0.009045658,0.23669712,0.000120246186],"about_ca_topic_score_codex":0.30505198,"about_ca_topic_score_gemma":0.6331253,"teacher_disagreement_score":0.694948,"about_ca_system_score_codex":0.006646724,"about_ca_system_score_gemma":0.058534425,"threshold_uncertainty_score":0.6065527},"labels":[],"label_agreement":null},{"id":"W3013399999","doi":"10.1007/s10584-020-02691-9","title":"Climate humanitarian visa: international migration opportunities as post-disaster humanitarian intervention","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Climate change; Extreme weather; Damages; Climate risk; Global warming; Economic growth; Development economics; Political science; Business; Economics; Law","score_opus":0.3586906649656649,"score_gpt":0.3630684023173209,"score_spread":0.00437773735165603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013399999","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2635009,0.0038055843,0.009616153,0.122331604,0.0024488366,0.00037307708,0.00013401489,0.00017543431,0.5976144],"genre_scores_gemma":[0.98078215,0.001446372,0.0025235654,0.002935741,0.00029722392,0.00015526995,0.000030873507,0.000012387508,0.011816445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985158,0.0010664365,0.000024547977,0.00004872181,0.00007605817,0.00026845004],"domain_scores_gemma":[0.99844366,0.00029147937,0.00023785928,0.000068411675,0.000115280614,0.0008432888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021763896,0.00020997238,0.00010632571,0.0004706714,0.003512895,0.0037026082,0.00063406833,0.0013856317,0.008683317],"category_scores_gemma":[0.0019689137,0.0000862569,0.00028243472,0.0004613195,0.0034943495,0.0016172734,0.005464271,0.0011917305,0.00040788171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026174993,0.001708586,0.020229327,0.00071259256,0.000056637633,0.0009066819,0.030118162,0.0031281258,0.0010136224,0.5369816,0.050800066,0.35408282],"study_design_scores_gemma":[0.00012259102,0.0015949402,0.053284902,0.0020783204,0.00007050991,0.0008808827,0.16944194,0.0045559346,0.0011073165,0.123203985,0.64356333,0.00009530278],"about_ca_topic_score_codex":0.0015852486,"about_ca_topic_score_gemma":0.007956615,"teacher_disagreement_score":0.008683317,"about_ca_system_score_codex":0.0014348823,"about_ca_system_score_gemma":0.0054755164,"threshold_uncertainty_score":0.029048622},"labels":[],"label_agreement":null},{"id":"W3014811636","doi":"10.1007/s10584-020-02695-5","title":"Constraining fossil fuels based on 2 °C carbon budgets: the rapid adoption of a transformative concept in politics and finance","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Transformative learning; Politics; Fossil fuel; Carbon fibers; Carbon finance; Natural resource economics; Economics; Finance; Business; Environmental science; Political science; Waste management; Greenhouse gas; Sociology; Engineering; Oceanography; Geology; Computer science","score_opus":0.14588885404670635,"score_gpt":0.25807223479883834,"score_spread":0.112183380752132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014811636","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3099184,0.01451532,0.38499302,0.13516402,0.0021901412,0.000098134915,0.000648455,0.0003464216,0.15212615],"genre_scores_gemma":[0.97782975,0.0031225812,0.014310992,0.001899729,0.00083989376,0.000051149535,0.0000568407,0.00006428045,0.0018246984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9967675,0.0020038877,0.000089528934,0.00027542634,0.00065241335,0.00021127742],"domain_scores_gemma":[0.9756992,0.018975886,0.0020304725,0.0013156809,0.0014384317,0.00054037495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0126600005,0.0004607899,0.0006901983,0.0011476584,0.0005622673,0.0041123363,0.0011377058,0.0028218694,0.0025926929],"category_scores_gemma":[0.04180701,0.000396985,0.00049580337,0.0015703697,0.0050324593,0.009258674,0.0023150437,0.0052513783,0.00013774917],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009018112,0.000049878276,0.0018627737,0.000051512692,0.00003132784,0.000033203698,0.000153791,0.054536175,0.0004097078,0.9101369,0.0023835874,0.030260913],"study_design_scores_gemma":[0.000022489123,0.000028595541,0.0024728412,0.00008443879,0.000010082025,0.000014637148,0.0001328462,0.06380754,0.0003967157,0.91981983,0.013175476,0.000034470086],"about_ca_topic_score_codex":0.006226079,"about_ca_topic_score_gemma":0.005326268,"teacher_disagreement_score":0.0126600005,"about_ca_system_score_codex":0.004187673,"about_ca_system_score_gemma":0.0040381504,"threshold_uncertainty_score":0.06695324},"labels":[],"label_agreement":null},{"id":"W3015686785","doi":"10.1007/s10584-020-02711-8","title":"Forest harvesting and the carbon debt in boreal east-central Canada","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Greenhouse gas; Tonne; Taiga; Carbon sequestration; Fossil fuel; Agroforestry; Forestry; Ecology; Carbon dioxide; Geography","score_opus":0.0483616421851768,"score_gpt":0.19108565919738754,"score_spread":0.14272401701221074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015686785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912504,0.00082851993,0.000036369092,0.0014138428,0.000014872958,0.000007472782,0.0011508967,0.0000060346592,0.0052916487],"genre_scores_gemma":[0.9968136,0.0005194728,0.0000345696,0.00012578235,0.00000644007,0.000002109769,0.0003329109,0.000003944365,0.0021611473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997795,0.000011820562,0.000009080797,0.000021759179,0.000045184464,0.00013270439],"domain_scores_gemma":[0.9988601,0.0000753565,0.00018985424,0.000026928494,0.0004121801,0.00043551959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003192398,0.00013323617,0.00020145046,0.00083827134,0.0023589223,0.0018929273,0.00065721665,0.00045486083,0.003050602],"category_scores_gemma":[0.0013399299,0.00014639973,0.00018371012,0.0023102094,0.0008515116,0.00047378903,0.0005955623,0.0006693993,0.00012398051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025352725,0.00008430514,0.9727489,0.00003972548,0.00008545042,0.0005169115,0.0016013331,0.0019293932,0.0007602209,0.0024205388,0.004147686,0.015412014],"study_design_scores_gemma":[0.000010866405,0.0000070305,0.99016094,0.000018823926,0.000016043097,0.00006216042,0.0034905868,0.0007890802,0.00007607662,0.00023272629,0.0051230923,0.000012545072],"about_ca_topic_score_codex":0.9966876,"about_ca_topic_score_gemma":0.99903035,"teacher_disagreement_score":0.031582907,"about_ca_system_score_codex":0.031582907,"about_ca_system_score_gemma":0.025885317,"threshold_uncertainty_score":0.22915113},"labels":[],"label_agreement":null},{"id":"W3020257603","doi":"10.1007/s10584-020-02716-3","title":"Climate change and adaptation to social-ecological change: the case of indigenous people and culture-based fisheries in Sri Lanka","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"International Development Research Centre","keywords":"Indigenous; Livelihood; Geography; Traditional knowledge; Psychological resilience; Diversification (marketing strategy); Collective action; Ecological resilience; Environmental resource management; Climate change; Participatory action research; Focus group; Political science; Ecology; Economic growth; Sociology; Business; Agriculture","score_opus":0.27172869674344924,"score_gpt":0.33963891772417176,"score_spread":0.06791022098072252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020257603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899726,0.0002464068,0.000042854135,0.0012008096,0.0000068962772,0.00001132055,0.000011686544,0.0000011507724,0.008506279],"genre_scores_gemma":[0.99914527,0.00026127158,0.000029063305,0.00008317432,0.000003028694,0.000005609249,0.0000045190027,7.420605e-7,0.0004673287],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9988016,0.0004747029,0.000026903868,0.000045094745,0.00004425388,0.00060735364],"domain_scores_gemma":[0.9990773,0.00034526753,0.00015751692,0.000045494588,0.00009655998,0.00027772132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012974729,0.00027416463,0.00034247345,0.00093323505,0.009939412,0.0038189103,0.0011461361,0.0017385664,0.00347439],"category_scores_gemma":[0.002055427,0.00024327461,0.00052058895,0.0021227521,0.0070741875,0.0019434255,0.0042522727,0.0020874299,0.00012923182],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001909094,0.00030651694,0.23892741,0.00020127319,0.00022788237,0.023247361,0.68523663,0.0011064231,0.0008255084,0.03528601,0.0011514513,0.0132926],"study_design_scores_gemma":[0.000013689438,0.00007196384,0.085533835,0.000074024945,0.00007695527,0.000972298,0.907382,0.00035821483,0.000086915556,0.0017872913,0.003615398,0.00002732354],"about_ca_topic_score_codex":0.32890272,"about_ca_topic_score_gemma":0.5031941,"teacher_disagreement_score":0.32890272,"about_ca_system_score_codex":0.0055338214,"about_ca_system_score_gemma":0.004396484,"threshold_uncertainty_score":0.65397656},"labels":[],"label_agreement":null},{"id":"W3026758935","doi":"10.1007/s10584-020-02745-y","title":"Projected changes to wind loads coinciding with rainfall for building design in Canada based on an ensemble of Canadian regional climate model simulations","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Precipitation; Climatology; Climate change; Climate model; Wind speed; Meteorology; Global warming; Atmospheric sciences; Geography; Geology","score_opus":0.11652193186386478,"score_gpt":0.26202819646753894,"score_spread":0.14550626460367416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026758935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98520756,0.00018511877,0.001783804,0.00020828178,0.000033746666,0.000032158176,0.0094544375,0.00018774853,0.0029070897],"genre_scores_gemma":[0.9913754,0.00014578666,0.0017368713,0.000033692773,0.0000065834292,0.000024893938,0.0059874053,0.000020238802,0.0006690357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977225,0.00002759226,0.00001088839,0.000054575445,0.00006184049,0.0000728352],"domain_scores_gemma":[0.99932504,0.0000700003,0.000047770853,0.000039493072,0.00041702003,0.00010064482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051230256,0.00093857694,0.00052183995,0.00066938397,0.0010812547,0.00085979514,0.0013017916,0.00059738377,0.0011494489],"category_scores_gemma":[0.0009654339,0.00040504907,0.0012277606,0.0012096242,0.00036356563,0.0003639813,0.00039656763,0.0006699319,0.00014073834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015736201,0.00006095943,0.08191862,0.00004354551,0.00027678805,0.00010008159,0.000055516794,0.9083953,0.001082284,0.00044332864,0.0028068095,0.0046594515],"study_design_scores_gemma":[0.00006677685,0.00003537237,0.0749813,0.000015363143,0.00012887089,0.000020034413,0.00014735901,0.92169744,0.00078522175,0.00016172002,0.001885779,0.000074694224],"about_ca_topic_score_codex":0.98425364,"about_ca_topic_score_gemma":0.977475,"teacher_disagreement_score":0.015746355,"about_ca_system_score_codex":0.01357637,"about_ca_system_score_gemma":0.012491993,"threshold_uncertainty_score":0.09850395},"labels":[],"label_agreement":null},{"id":"W3027026548","doi":"10.1007/s10584-020-02743-0","title":"Regional variability in the response of alpine treelines to climate change","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Canadian Geographical Society; Government of Ontario","keywords":"Ecotone; Climate change; Picea engelmannii; Abies lasiocarpa; Global warming; Environmental science; Physical geography; Alpine climate; Elevation (ballistics); Range (aeronautics); Climatology; Ecology; Atmospheric sciences; Geography; Montane ecology; Geology; Biology","score_opus":0.13623459998180096,"score_gpt":0.2962609316654284,"score_spread":0.16002633168362743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027026548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985514,0.00009139761,0.00012896126,0.000055114007,0.0000050047643,0.0000013842953,0.0003541534,0.000012008783,0.00080049207],"genre_scores_gemma":[0.9994815,0.00003381935,0.000033087985,0.000010428152,0.0000052480113,0.0000013400697,0.00023803272,0.000003932146,0.00019258745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998242,0.000058854137,0.00001000413,0.000054412496,0.000018686787,0.00003380247],"domain_scores_gemma":[0.9987213,0.0005565825,0.00024192077,0.00014309157,0.00023370232,0.00010340939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004959863,0.00009663245,0.00018361818,0.00041826683,0.0001554124,0.00046034844,0.0001653274,0.000337171,0.0017482169],"category_scores_gemma":[0.0017004051,0.000091726986,0.00022628481,0.00047542222,0.00018231497,0.00024602047,0.0001877013,0.00026544102,0.0003042946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005921687,0.00008159153,0.94761467,0.000046148874,0.00035307242,0.000113783164,0.0007116356,0.00795606,0.032778576,0.00044386508,0.00084696454,0.0084613385],"study_design_scores_gemma":[0.0000021102846,0.000020260772,0.9983304,0.0000013271755,0.000009352431,0.000019409981,0.00008429816,0.0010657242,0.0001908359,0.00002747708,0.00024660205,0.0000022545375],"about_ca_topic_score_codex":0.0083622215,"about_ca_topic_score_gemma":0.01053836,"teacher_disagreement_score":0.0083622215,"about_ca_system_score_codex":0.0002133828,"about_ca_system_score_gemma":0.00009290305,"threshold_uncertainty_score":0.016627133},"labels":[],"label_agreement":null},{"id":"W3036294321","doi":"10.1007/s10584-020-02806-2","title":"A statistical analysis of time trends in atmospheric ethane","year":2020,"lang":"en","type":"preprint","venue":"Climatic Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Horizon 2020; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Office of Polar Programs; Fonds De La Recherche Scientifique - FNRS; Environment and Climate Change Canada; European Commission; Canadian Foundation for Climate and Atmospheric Sciences; Ministry of Business, Innovation and Employment; New Zealand Government; Fédération Wallonie-Bruxelles; National Aeronautics and Space Administration; National Institute of Water and Atmospheric Research; University of Toronto; Strong; National Science Foundation","keywords":"Autocorrelation; Autoregressive model; Inference; Econometrics; Environmental science; Methane; Series (stratigraphy); Atmosphere (unit); Statistical inference; Greenhouse gas; Atmospheric chemistry; Meteorology; Ozone; Atmospheric sciences; Climatology; Statistics; Mathematics; Computer science; Geology; Chemistry; Geography","score_opus":0.03422633778557556,"score_gpt":0.2716533808987983,"score_spread":0.23742704311322277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036294321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9076965,0.0009726248,0.06911529,0.0010009101,0.00015018339,0.000056097284,0.017463673,0.0006015172,0.0029432455],"genre_scores_gemma":[0.97114134,0.00021188807,0.014643643,0.000046410307,0.00012374134,0.000057495752,0.012780551,0.000084005034,0.0009109547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851614,0.00061629555,0.00007975278,0.00041909257,0.00027506406,0.00009365083],"domain_scores_gemma":[0.9891088,0.0076205204,0.0011989383,0.00094900426,0.0009193452,0.00020340027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003443369,0.00024100681,0.00031713428,0.0016271756,0.0002166306,0.00070335984,0.00049988396,0.00040904677,0.0018323961],"category_scores_gemma":[0.015067929,0.00012112041,0.0006444139,0.002517569,0.00038322384,0.00056870707,0.00046019183,0.0006449193,0.00042549765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004974662,0.00023883258,0.72258663,0.0003268657,0.0013932205,0.00058903475,0.00035264666,0.083468385,0.0064286077,0.015069429,0.014882211,0.15416662],"study_design_scores_gemma":[0.000030620267,0.00023755376,0.68361944,0.000055125573,0.00015295307,0.00017234327,0.0003504849,0.2880374,0.001957622,0.008475488,0.016861433,0.000049482576],"about_ca_topic_score_codex":0.004215436,"about_ca_topic_score_gemma":0.0026056194,"teacher_disagreement_score":0.004215436,"about_ca_system_score_codex":0.0002865359,"about_ca_system_score_gemma":0.00037500163,"threshold_uncertainty_score":0.01821053},"labels":[],"label_agreement":null},{"id":"W3040918656","doi":"10.1007/s10584-020-02778-3","title":"Projection of winter NPO-following winter ENSO connection in a warming climate: uncertainty due to internal climate variability","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China; National Key Research and Development Program of China; China Association for Science and Technology","keywords":"Climatology; Environmental science; Precipitation; Pacific decadal oscillation; Subtropics; Climate model; El Niño Southern Oscillation; Subtropical ridge; Climate change; Atmospheric sciences; Geography; Geology; Oceanography; Meteorology","score_opus":0.05317535130513933,"score_gpt":0.282292140350668,"score_spread":0.22911678904552868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040918656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941738,0.000051343934,0.0042878683,0.000056866436,0.0000073144834,0.000005588561,0.00036796284,0.000032306056,0.0010169116],"genre_scores_gemma":[0.99902594,0.000025440497,0.00057049235,0.0000046674018,0.0000029100363,0.0000031304448,0.00030014722,0.0000030828937,0.00006419371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997776,0.00006626761,0.0000118382395,0.000054659286,0.000056084784,0.000033540768],"domain_scores_gemma":[0.9994505,0.00018095394,0.00008592947,0.00007386103,0.00016058731,0.0000481456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009255846,0.00037936846,0.0002378343,0.00030269104,0.00042323064,0.00063235173,0.00032370642,0.0002492033,0.00045200143],"category_scores_gemma":[0.0018261202,0.00019728507,0.0004929507,0.0004510442,0.0002386905,0.00057608495,0.0005162558,0.00038924708,0.000060326303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011606734,0.000033301963,0.2887796,0.000020815087,0.00022785233,0.0001562952,0.00009580814,0.6959823,0.0038110844,0.0010846276,0.00037135402,0.009320971],"study_design_scores_gemma":[0.000011946894,0.000042514424,0.23249865,0.00001052615,0.00007040799,0.000049217328,0.00013428893,0.76328385,0.0020510312,0.0012145145,0.0006016958,0.000031333107],"about_ca_topic_score_codex":0.05313206,"about_ca_topic_score_gemma":0.047091443,"teacher_disagreement_score":0.05313206,"about_ca_system_score_codex":0.00080583635,"about_ca_system_score_gemma":0.0007593589,"threshold_uncertainty_score":0.1056456},"labels":[],"label_agreement":null},{"id":"W3040932246","doi":"10.1007/s10584-020-02776-5","title":"Climate change impacts on potential future ranges of non-human primate species","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs; Concordia University","keywords":"Climate change; Environmental science; Range (aeronautics); Habitat; Cumulative effects; Ecology; Greenhouse gas; Geography; Biology","score_opus":0.10460929093136566,"score_gpt":0.37983064355549123,"score_spread":0.27522135262412556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040932246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97248626,0.00088457164,0.00035165448,0.0012753638,0.000033936092,0.0000039533234,0.00022495906,0.000008464585,0.02473079],"genre_scores_gemma":[0.9990651,0.00032215627,0.00006697229,0.00008729885,0.000022258011,0.0000016433165,0.000050417653,0.0000018765563,0.00038213356],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998559,0.000053985204,0.0000048106895,0.000019869252,0.000022458755,0.000043077715],"domain_scores_gemma":[0.9992894,0.00020105197,0.00019356195,0.000027981065,0.00012970719,0.0001582334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042616113,0.00010781213,0.00009626842,0.00034285404,0.0005894349,0.0010035268,0.00018676562,0.00039649845,0.007919645],"category_scores_gemma":[0.0014931201,0.00008366637,0.0001975906,0.00038791075,0.0005152151,0.0007070458,0.00046468875,0.0004262816,0.00031964484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002758527,0.00023478574,0.93913096,0.00010842739,0.00019083648,0.0005807783,0.0023887584,0.004339075,0.0051173535,0.006055665,0.0030559737,0.038521625],"study_design_scores_gemma":[0.0000026920818,0.00007299976,0.9909334,0.000014029621,0.000021012444,0.00020770327,0.0020826529,0.0009041426,0.00016310482,0.0019987358,0.0035930013,0.0000065651866],"about_ca_topic_score_codex":0.0051099607,"about_ca_topic_score_gemma":0.022575766,"teacher_disagreement_score":0.007919645,"about_ca_system_score_codex":0.00053201575,"about_ca_system_score_gemma":0.00020124618,"threshold_uncertainty_score":0.026493847},"labels":[],"label_agreement":null},{"id":"W3041239410","doi":"10.1007/s10584-020-02777-4","title":"Unveiling assumptions through interdisciplinary scrutiny: Observations from the German Priority Program on Climate Engineering (SPP 1689)","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University; Concordia University; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Scrutiny; Engineering ethics; Context (archaeology); Discipline; Corporate governance; German; Political science; Sociology; Management science; Public relations; Engineering; Management; Social science; Economics","score_opus":0.13467322809731885,"score_gpt":0.32697123908574227,"score_spread":0.19229801098842342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041239410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879764,0.00015012446,0.00149967,0.0026970243,0.000029867164,0.00006386036,0.0001406143,0.000019899993,0.007422588],"genre_scores_gemma":[0.9974808,0.00011629056,0.0008725112,0.0003839736,0.000022142729,0.000068053996,0.000110902176,0.000035389483,0.0009100411],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.97524005,0.0172454,0.00056732027,0.0013985842,0.00366304,0.0018856038],"domain_scores_gemma":[0.96919066,0.018282654,0.004155953,0.002471967,0.003310668,0.0025880584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02069904,0.00035556266,0.00054827303,0.0017482626,0.0118114455,0.004676588,0.0018808302,0.0032527912,0.0013974048],"category_scores_gemma":[0.030070893,0.00048566156,0.00036503575,0.00247869,0.010086148,0.003121376,0.011269117,0.0052243047,0.00036161506],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002243912,0.0004892826,0.046422828,0.00021833678,0.00004788462,0.0044411616,0.9011103,0.0014305399,0.0036902355,0.016187677,0.00852327,0.017214062],"study_design_scores_gemma":[0.000025962607,0.00020678627,0.08316404,0.00026977525,0.000014170804,0.000537104,0.83763516,0.0016893016,0.0015430567,0.00760024,0.06720507,0.00010933971],"about_ca_topic_score_codex":0.017731108,"about_ca_topic_score_gemma":0.018808398,"teacher_disagreement_score":0.02069904,"about_ca_system_score_codex":0.005270411,"about_ca_system_score_gemma":0.0042857327,"threshold_uncertainty_score":0.10946828},"labels":[],"label_agreement":null},{"id":"W3047156026","doi":"10.1007/s10584-020-02811-5","title":"How well do people understand the climate impact of individual actions?","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":128,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Numeracy; Greenhouse gas; Consumption (sociology); Ranking (information retrieval); Carbon footprint; Climate change; Balance (ability); Psychology; Public economics; Environmental economics; Environmental resource management; Environmental science; Economics; Computer science; Literacy; Sociology; Ecology","score_opus":0.07856721606713142,"score_gpt":0.30320773685982366,"score_spread":0.22464052079269226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047156026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8121872,0.004265543,0.0038661698,0.07526195,0.0004431347,0.000036472233,0.00029958042,0.000050751598,0.103589155],"genre_scores_gemma":[0.9919229,0.001616509,0.0005540378,0.0040037325,0.00005547989,0.000014066752,0.0000725549,0.0000114041895,0.0017493814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975555,0.0012129444,0.000056385907,0.00019193042,0.0004902765,0.000492927],"domain_scores_gemma":[0.9884702,0.0051035453,0.002581878,0.00056761294,0.0015735333,0.0017031825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039895657,0.0002700872,0.0003670475,0.00093070616,0.0011685331,0.0046776114,0.00049713743,0.0021115628,0.0048765144],"category_scores_gemma":[0.016179204,0.0002625075,0.0004431528,0.0007261902,0.0039179837,0.0080551,0.0016665822,0.002786397,0.0007006657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016276262,0.0010030939,0.517214,0.00056167855,0.00061059307,0.0004841215,0.22290938,0.001895463,0.0011334876,0.03306986,0.025270713,0.19568485],"study_design_scores_gemma":[0.000051268617,0.00026973296,0.46094772,0.00075458194,0.00029126395,0.00044710826,0.35116088,0.001937522,0.00094253506,0.1018957,0.081130214,0.00017149522],"about_ca_topic_score_codex":0.012939107,"about_ca_topic_score_gemma":0.018990288,"teacher_disagreement_score":0.012939107,"about_ca_system_score_codex":0.0015878056,"about_ca_system_score_gemma":0.0018122154,"threshold_uncertainty_score":0.02572757},"labels":[],"label_agreement":null},{"id":"W3080885928","doi":"10.1007/s10584-020-02826-y","title":"Arctic Athabaskan Council’s petition to the Inter-American Commission on human rights and climate change—business as usual or a breakthrough?","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Environmental law and policy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Commission; Obligation; Human rights; Political science; Arctic; Indigenous rights; Law; Climate change; Ecology","score_opus":0.20234998615726515,"score_gpt":0.3747699751103377,"score_spread":0.17241998895307256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080885928","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31960756,0.008483481,0.0012971672,0.25845924,0.0019016021,0.00003789246,0.00017618985,0.000039443017,0.40999746],"genre_scores_gemma":[0.95011604,0.0015487645,0.0006500726,0.011849585,0.0001019661,0.000014135995,0.000036729994,0.000019081675,0.035663612],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99710625,0.00092550047,0.00008432843,0.00027375174,0.00078034983,0.0008298807],"domain_scores_gemma":[0.99404883,0.0029604756,0.00040859295,0.0001968496,0.00150924,0.00087604136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003196244,0.0001205581,0.0002188163,0.00054106937,0.018166438,0.008298946,0.0010012286,0.003846561,0.0070683686],"category_scores_gemma":[0.007517241,0.000099759505,0.00018938359,0.001001118,0.008975519,0.0017941565,0.003061367,0.0037881972,0.00034825117],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009171375,0.00007552771,0.015982965,0.00028478398,0.000024837485,0.003798014,0.26933837,0.0005113451,0.0022836078,0.570118,0.09525157,0.042239316],"study_design_scores_gemma":[0.000010463461,0.00002254201,0.021724056,0.00073550874,0.000024309003,0.00035905265,0.29809082,0.0006227032,0.0011871364,0.020190671,0.6569257,0.000107029526],"about_ca_topic_score_codex":0.760212,"about_ca_topic_score_gemma":0.88620925,"teacher_disagreement_score":0.760212,"about_ca_system_score_codex":0.030127453,"about_ca_system_score_gemma":0.035843927,"threshold_uncertainty_score":0.4824003},"labels":[],"label_agreement":null},{"id":"W3089054425","doi":"10.1007/s10584-020-02872-6","title":"Impacts of hydrological model calibration on projected hydrological changes under climate change—a multi-model assessment in three large river basins","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Ministry of Earth Sciences","keywords":"Calibration; Environmental science; Evapotranspiration; Weighting; Representative Concentration Pathways; Climatology; Hydrology (agriculture); Drainage basin; SWAT model; Hydrological modelling; Climate change; Climate model; Meteorology; Statistics; Mathematics; Geology; Geography","score_opus":0.13358755684759085,"score_gpt":0.31389704296320914,"score_spread":0.18030948611561828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089054425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968033,0.000039129627,0.002677992,0.00004449323,0.000005274325,0.0000130911685,0.00010229954,0.000048740727,0.0002657092],"genre_scores_gemma":[0.9983961,0.0000150376845,0.0014008774,0.000009697316,0.0000018665284,0.000011210594,0.00011470171,0.0000060098705,0.000044365872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991146,0.00054691505,0.00004723174,0.0001382951,0.000088412686,0.000064488966],"domain_scores_gemma":[0.9973901,0.0016021255,0.00021899838,0.00035107037,0.000356627,0.00008111692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004867163,0.00055266434,0.0004828608,0.00042131075,0.0004298573,0.0007039674,0.0007160403,0.0008033135,0.0004565552],"category_scores_gemma":[0.0047387364,0.000378152,0.0011315704,0.00054139126,0.000455503,0.0010094653,0.0006282443,0.0007020289,0.000043702308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020902288,0.00013117568,0.052902043,0.000025610345,0.00026876153,0.00011554133,0.000057852838,0.9372542,0.002461803,0.00027006163,0.00011317307,0.006190799],"study_design_scores_gemma":[0.000050497965,0.00013478548,0.036638755,0.0000092178925,0.00012607545,0.000024839866,0.00005756729,0.95907676,0.0034053605,0.00024965891,0.00019776297,0.000028717497],"about_ca_topic_score_codex":0.018158305,"about_ca_topic_score_gemma":0.012675137,"teacher_disagreement_score":0.018158305,"about_ca_system_score_codex":0.0010830536,"about_ca_system_score_gemma":0.00091925845,"threshold_uncertainty_score":0.036105275},"labels":[],"label_agreement":null},{"id":"W3106765428","doi":"10.1007/s10584-020-02892-2","title":"Performance evaluation of global hydrological models in six large Pan-Arctic watersheds","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Chinese Academy of Sciences; Bundesministerium für Bildung und Forschung","keywords":"Environmental science; Snow; Arctic; Permafrost; Climatology; Drainage basin; Discharge; Hydrology (agriculture); Climate change; Latitude; Precipitation; Physical geography; Meteorology; Geology; Geography; Cartography","score_opus":0.19534309685277762,"score_gpt":0.3005276706798947,"score_spread":0.1051845738271171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106765428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704486,0.00004167768,0.0021223184,0.000037408936,0.000007454267,0.000014243137,0.0002244093,0.00015070826,0.0003569778],"genre_scores_gemma":[0.99680305,0.000029852908,0.0025885347,0.000008164881,0.0000041548424,0.000014762668,0.0004646536,0.0000106063935,0.000076288576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957424,0.0002065855,0.000038031056,0.00008070424,0.00005252116,0.00004785975],"domain_scores_gemma":[0.99911517,0.00043656575,0.00008844394,0.00008387019,0.00020463375,0.00007128201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023696462,0.0008015548,0.00060200144,0.0006840758,0.00038478017,0.0007213813,0.00044280503,0.00048099522,0.0002988908],"category_scores_gemma":[0.0021788897,0.0001962747,0.0007943427,0.0008556743,0.00032888702,0.0006344401,0.000533775,0.00032413783,0.00006134564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022864784,0.0002020479,0.08645332,0.000029554412,0.00024239367,0.00005611775,0.000060207454,0.8982375,0.001626231,0.00020617073,0.00025385784,0.01240393],"study_design_scores_gemma":[0.000020423739,0.00012530282,0.01611549,0.0000037156808,0.000026383139,0.0000074710742,0.000052651587,0.98219347,0.0012295209,0.00010673805,0.00011121305,0.000007490636],"about_ca_topic_score_codex":0.039311472,"about_ca_topic_score_gemma":0.020171942,"teacher_disagreement_score":0.039311472,"about_ca_system_score_codex":0.0010575963,"about_ca_system_score_gemma":0.0008404992,"threshold_uncertainty_score":0.07816529},"labels":[],"label_agreement":null},{"id":"W3106804342","doi":"10.1007/s10584-020-02920-1","title":"From needs to actions: prospects for planned adaptations in high mountain communities","year":2020,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Universität Zürich; Social Sciences and Humanities Research Council of Canada; University of British Columbia; International Development Research Centre","keywords":"Adaptation (eye); United Nations Framework Convention on Climate Change; Bureaucracy; Environmental resource management; Political science; Local adaptation; Climate change; Environmental planning; Geography; Sociology; Politics; Ecology; Economics; Psychology","score_opus":0.37567321702661655,"score_gpt":0.37204686957396355,"score_spread":0.0036263474526530004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106804342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5622145,0.0019632017,0.015425632,0.210552,0.00021089514,0.00024553016,0.000109187735,0.00011420646,0.20916483],"genre_scores_gemma":[0.9966786,0.00029666015,0.0009803135,0.0006741732,0.000019719191,0.000041365634,0.000011600963,0.0000023722575,0.0012951947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99364763,0.0036424135,0.00016749205,0.00028785752,0.00062131556,0.0016332737],"domain_scores_gemma":[0.9888131,0.00469006,0.0014843338,0.0006621229,0.0014449204,0.0029054834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007369466,0.00018929911,0.00021318553,0.0009823261,0.0048640277,0.007578399,0.0013992644,0.0032935038,0.011050801],"category_scores_gemma":[0.0136147635,0.0001984527,0.0002793819,0.00090436917,0.010037665,0.0065872446,0.008257622,0.0034447876,0.00033913832],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001405253,0.00032761443,0.036710404,0.0005846945,0.00004298493,0.0014534037,0.09553091,0.0039013128,0.001209667,0.7277472,0.008592302,0.12375907],"study_design_scores_gemma":[0.00004127852,0.0003723356,0.056499798,0.0016141285,0.00002887036,0.00045454985,0.37624028,0.0041754325,0.0007730841,0.44880334,0.110880405,0.00011656957],"about_ca_topic_score_codex":0.006416452,"about_ca_topic_score_gemma":0.013033629,"teacher_disagreement_score":0.011050801,"about_ca_system_score_codex":0.0031933086,"about_ca_system_score_gemma":0.012270304,"threshold_uncertainty_score":0.038973987},"labels":[],"label_agreement":null},{"id":"W3123237692","doi":"10.1007/s10584-021-02958-9","title":"Climatic impacts on water resources in a tropical catchment in Uganda and adaptation measures proposed by resident stakeholders","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Institute for Sustainable Development","funders":"Universität für Bodenkultur Wien","keywords":"Representative Concentration Pathways; Environmental science; Evapotranspiration; Climate change; Drainage basin; Precipitation; Surface runoff; Water resources; Livelihood; Climate model; Hydrology (agriculture); Water resource management; Climatology; Geography; Agriculture; Meteorology; Ecology","score_opus":0.08081867601274878,"score_gpt":0.25521104523234933,"score_spread":0.17439236921960055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123237692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99935263,0.000024425992,0.000046818965,0.000058417092,7.3340095e-7,0.000006436187,0.000039467202,0.0000013537145,0.00046974898],"genre_scores_gemma":[0.9998209,0.000021149566,0.00006220307,0.0000049707173,5.6133547e-7,0.0000068545673,0.000016943855,3.7155155e-7,0.00006604051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950254,0.00027586592,0.000020943595,0.000036966183,0.000039615978,0.00012404332],"domain_scores_gemma":[0.9994005,0.00017535605,0.00014050442,0.000028664472,0.00010790873,0.00014706732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074216863,0.00018910426,0.00017850722,0.00060298195,0.00084118947,0.0009625055,0.00037157067,0.0003129874,0.0014675971],"category_scores_gemma":[0.0022385844,0.00013786613,0.00019594036,0.0013862672,0.0007475181,0.0005754437,0.0015227572,0.0002596004,0.000056499714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003549964,0.00022081257,0.93238115,0.0001369329,0.000113112,0.002678492,0.010549217,0.023980755,0.0023706004,0.0028634972,0.001210981,0.023139453],"study_design_scores_gemma":[0.000038832062,0.00022173826,0.9451383,0.00007565173,0.000042768424,0.0002355132,0.02990756,0.019814568,0.0003994118,0.0015139482,0.0025696822,0.000042016793],"about_ca_topic_score_codex":0.025401598,"about_ca_topic_score_gemma":0.046914864,"teacher_disagreement_score":0.025401598,"about_ca_system_score_codex":0.0019130235,"about_ca_system_score_gemma":0.0009068383,"threshold_uncertainty_score":0.050507486},"labels":[],"label_agreement":null},{"id":"W3123504410","doi":"10.1007/s10584-021-02965-w","title":"How adaptive capacity shapes the Adapt, React, Cope response to climate impacts: insights from small-scale fisheries","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Adaptive capacity; Flexibility (engineering); Environmental resource management; Psychological resilience; Adaptive strategies; Climate change; Social capital; Adaptive management; Natural resource; Scale (ratio); Fishing; Stressor; Business; Natural resource economics; Economics; Ecology; Geography; Political science; Biology; Psychology","score_opus":0.1129221468087274,"score_gpt":0.23755392104458367,"score_spread":0.12463177423585627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123504410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98621076,0.00020760161,0.0031019696,0.0004886477,0.000012441849,0.000008565931,0.00009390092,0.000028582037,0.009847483],"genre_scores_gemma":[0.999033,0.00008878686,0.00030762548,0.000052627154,0.0000033823376,0.000004253312,0.000025350606,0.00000874394,0.0004762643],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9998049,0.000045813962,0.000007653273,0.00005696683,0.000021243386,0.000063489846],"domain_scores_gemma":[0.999199,0.0003512125,0.00010632115,0.0001162046,0.0000802718,0.00014698438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056746573,0.00021492544,0.00027051347,0.0003643255,0.0005053855,0.0015629691,0.00050182437,0.00057060743,0.0042120246],"category_scores_gemma":[0.002431632,0.00023733324,0.00037126424,0.00039575587,0.0016579571,0.0014420822,0.0012577946,0.00053619617,0.00030413276],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007145392,0.00045063443,0.49864998,0.00055578415,0.000909036,0.0018481271,0.008793459,0.07550144,0.206214,0.061691944,0.0036852146,0.14098586],"study_design_scores_gemma":[0.000034662724,0.00023952934,0.8685205,0.0000831491,0.0001461698,0.00039649455,0.00548359,0.045157004,0.0053906725,0.06829181,0.006134074,0.00012244012],"about_ca_topic_score_codex":0.009439116,"about_ca_topic_score_gemma":0.009378572,"teacher_disagreement_score":0.009439116,"about_ca_system_score_codex":0.00052288704,"about_ca_system_score_gemma":0.00057343376,"threshold_uncertainty_score":0.01876831},"labels":[],"label_agreement":null},{"id":"W3124631464","doi":"10.1007/s10584-014-1224-y","title":"A simple carbon cycle representation for economic and policy analyses","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Victoria; National Science Foundation","keywords":"Representation (politics); Carbon cycle; Simple (philosophy); Carbon fibers; Climate model; Climatology; Climate change; Nonlinear system; Environmental science; Climate system; Business cycle; Econometrics; Dual (grammatical number); Climate sensitivity; Dice; Meteorology; Computer science; Economics; Mathematics; Macroeconomics; Ecology; Geography; Statistics; Algorithm; Oceanography; Geology; Physics","score_opus":0.04600994481870923,"score_gpt":0.3203235056484729,"score_spread":0.27431356082976366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124631464","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013747613,0.00028984508,0.9263044,0.0013248092,0.0003256147,0.000091797,0.0016787245,0.0007128138,0.055524353],"genre_scores_gemma":[0.46834517,0.0009519759,0.48415187,0.000476999,0.0003514213,0.0003956696,0.0016841893,0.0006073119,0.043035436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973744,0.00009959926,0.000022513907,0.0000345579,0.00007836124,0.000027435597],"domain_scores_gemma":[0.99957496,0.00016932463,0.00003088811,0.000102730555,0.00009289468,0.00002923362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077949866,0.00067883387,0.00061454315,0.000862367,0.00064110133,0.0026369106,0.0011379475,0.0014208448,0.022767367],"category_scores_gemma":[0.0028436074,0.00033879108,0.0009896089,0.0017515786,0.00054460036,0.0040335273,0.00083281123,0.001625678,0.002657952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021988933,0.0000496623,0.00029328448,0.00006446957,0.000029142771,0.00015942879,0.00008089095,0.14630045,0.00084308954,0.81960243,0.0072375364,0.025317606],"study_design_scores_gemma":[0.00001733303,0.00001822674,0.0001368357,0.000023424009,0.000027605018,0.000096325435,0.000046517078,0.47842097,0.00046171347,0.49340224,0.027329499,0.000019240666],"about_ca_topic_score_codex":0.004472348,"about_ca_topic_score_gemma":0.005357738,"teacher_disagreement_score":0.022767367,"about_ca_system_score_codex":0.0006796538,"about_ca_system_score_gemma":0.00095747545,"threshold_uncertainty_score":0.076164424},"labels":[],"label_agreement":null},{"id":"W3125557285","doi":"10.1007/s10584-021-02956-x","title":"Hydroclimatic changes in Alaska portrayed by a high-resolution regional climate simulation","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"U.S. Army Corps of Engineers; National Center for Atmospheric Research","keywords":"Climatology; Environmental science; Climate simulation; Climate model; High resolution; Resolution (logic); Climate change; Geography; Physical geography; Meteorology; Oceanography; Geology; Remote sensing; Computer science","score_opus":0.06607092468147423,"score_gpt":0.267657780262357,"score_spread":0.20158685558088274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125557285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964216,0.000059690963,0.00019558294,0.00013385726,0.000023723982,0.0000059562594,0.0009006086,0.000052521238,0.002206347],"genre_scores_gemma":[0.99885595,0.00005198969,0.00023077623,0.000013474293,0.0000047939857,0.000004185043,0.00047928022,0.000005757591,0.0003538667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989176,0.0000324122,0.00001228328,0.000030986597,0.000012917383,0.000019622823],"domain_scores_gemma":[0.9997354,0.0000772649,0.00003556811,0.000029597808,0.000056446,0.00006573854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003748537,0.00023931077,0.00027563708,0.00048130387,0.00052910484,0.0009795005,0.00035632428,0.0007968522,0.0019606433],"category_scores_gemma":[0.0009940199,0.00023338382,0.00047862154,0.00082511484,0.00040982934,0.00049989705,0.000406334,0.00046036605,0.00017488668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007225882,0.00028565593,0.18792905,0.00007829608,0.00026972182,0.0008440225,0.0006916672,0.7958469,0.0030839322,0.0018330207,0.002440207,0.00597505],"study_design_scores_gemma":[0.0001500995,0.00020484907,0.30361462,0.000056297995,0.00024396919,0.00016389457,0.001794129,0.6862397,0.0014772797,0.0011902617,0.0047476664,0.00011731138],"about_ca_topic_score_codex":0.16767828,"about_ca_topic_score_gemma":0.16600092,"teacher_disagreement_score":0.16767828,"about_ca_system_score_codex":0.0012989128,"about_ca_system_score_gemma":0.00074600906,"threshold_uncertainty_score":0.3334046},"labels":[],"label_agreement":null},{"id":"W3132704365","doi":"10.1007/s10584-021-02968-7","title":"Heterogeneous snowpack response and snow drought occurrence across river basins of northwestern North America under 1.0°C to 4.0°C global warming","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; University of Victoria; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Snowpack; Snow; Precipitation; Climate change; Environmental science; Drainage basin; Climatology; Structural basin; Global warming; Mean radiant temperature; Physical geography; Hydrology (agriculture); Atmospheric sciences; Geography; Geology; Meteorology; Oceanography","score_opus":0.06042345311130562,"score_gpt":0.2866620162616917,"score_spread":0.22623856315038607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132704365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992162,0.000028171095,0.000036649297,0.000023502636,0.0000011690321,0.0000016656196,0.00044913185,0.0000066904236,0.00023681967],"genre_scores_gemma":[0.9993155,0.000020761054,0.000050733033,0.000009997685,0.0000010414528,0.0000028209586,0.0005061165,0.0000011837468,0.00009183631],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998946,0.000014407098,0.000006543783,0.00003552262,0.00002045897,0.000028430348],"domain_scores_gemma":[0.9998123,0.000023334318,0.000043615368,0.000015017239,0.0000690392,0.000036698166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020288324,0.00013916234,0.00015531879,0.00037989722,0.00037907562,0.0003878006,0.00026227933,0.00016104411,0.0006113991],"category_scores_gemma":[0.00041155942,0.000086022796,0.00020811989,0.0005454609,0.00024387191,0.00021321073,0.00030926958,0.00015149052,0.000044288674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034173805,0.00001423187,0.9941425,0.000008198906,0.000051017832,0.00003113214,0.0001916824,0.0018700797,0.0012186418,0.000058070375,0.00028121343,0.0020990379],"study_design_scores_gemma":[0.0000016603051,0.0000033068902,0.9981523,0.0000020977418,0.000007912085,0.00000801947,0.00019072926,0.0013571172,0.0000698719,0.000023790724,0.0001808915,0.0000021961093],"about_ca_topic_score_codex":0.53341544,"about_ca_topic_score_gemma":0.75117886,"teacher_disagreement_score":0.46658456,"about_ca_system_score_codex":0.0013918412,"about_ca_system_score_gemma":0.0009047558,"threshold_uncertainty_score":0.93866473},"labels":[],"label_agreement":null},{"id":"W3133441257","doi":"10.1007/s10584-021-03000-8","title":"‘A change of heart’: Indigenous perspectives from the Onjisay Aki Summit on climate change","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Assembly of First Nations; University of Winnipeg","funders":"Social Sciences and Humanities Research Council of Canada; Indigenous and Northern Affairs Canada; University of Winnipeg","keywords":"Summit; Climate change; Indigenous; Political science; Geography; Physical geography; Oceanography; Geology","score_opus":0.08743257335888695,"score_gpt":0.34677784476007345,"score_spread":0.2593452714011865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133441257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7077753,0.022359654,0.001440807,0.1414798,0.00487707,0.00011045011,0.00018493916,0.000049382306,0.12172273],"genre_scores_gemma":[0.95826524,0.007853691,0.0007159392,0.012879965,0.0006293167,0.000052336163,0.000059402842,0.00008631614,0.019457879],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9923516,0.0030810616,0.00015284985,0.00044826552,0.0012612032,0.0027050194],"domain_scores_gemma":[0.99437886,0.0020646914,0.00039552385,0.00016278603,0.000993328,0.0020047321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00873433,0.00071374024,0.0010335619,0.001867334,0.055481967,0.012110747,0.002921056,0.006334466,0.0045923963],"category_scores_gemma":[0.008173038,0.0007498115,0.00058761216,0.0021435502,0.026657835,0.009555499,0.015374182,0.019098967,0.00036350067],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073293754,0.0000099708495,0.00030968836,0.000048766626,0.0000032426997,0.00056517974,0.9937735,0.0000094113375,0.00012281086,0.0023524803,0.0015724954,0.0012250737],"study_design_scores_gemma":[0.0000013625172,0.000011417163,0.0012035795,0.00014246222,0.0000071487398,0.00013255104,0.9676551,0.00001602263,0.000052697807,0.00076502777,0.02999562,0.000016973216],"about_ca_topic_score_codex":0.39788294,"about_ca_topic_score_gemma":0.65993875,"teacher_disagreement_score":0.60211706,"about_ca_system_score_codex":0.01738353,"about_ca_system_score_gemma":0.022849493,"threshold_uncertainty_score":0.791134},"labels":[],"label_agreement":null},{"id":"W3134762995","doi":"10.1007/s10584-021-03022-2","title":"A reassessment of the impact of temperature change on European conflict during the second millennium CE using a bespoke Bayesian time-series model","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Carleton University","funders":"British Columbia Knowledge Development Fund; SFU Community Trust Endowment Fund; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Context (archaeology); Covariate; Econometrics; Bayesian probability; Autocorrelation; Climate change; Bespoke; Skepticism; Term (time); Positive economics; Statistics; History; Political science; Mathematics; Epistemology; Economics; Ecology; Law","score_opus":0.055684934931244774,"score_gpt":0.27816187120419494,"score_spread":0.22247693627295018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134762995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878917,0.00025115118,0.008355781,0.0011718089,0.00003327046,0.000007048412,0.00028799017,0.00003557118,0.0019656473],"genre_scores_gemma":[0.9979361,0.000099523095,0.0012966322,0.00005633565,0.000010133799,0.0000035316757,0.00018679883,0.000014230536,0.0003967984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993741,0.00035376454,0.00003702119,0.00013405904,0.00004638045,0.000054681794],"domain_scores_gemma":[0.994456,0.0043741534,0.00032756056,0.0003924123,0.00028325192,0.00016671416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051835347,0.00042381484,0.00049502257,0.00057243474,0.00051110884,0.0017264895,0.0010192227,0.001300239,0.0020314713],"category_scores_gemma":[0.016691362,0.0003189724,0.00073758606,0.0007657537,0.00074416085,0.0016712586,0.00085973495,0.0012480519,0.0001757191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005529537,0.00013786092,0.08413905,0.00005564404,0.00037256614,0.00020732118,0.00046041334,0.86511093,0.0012538101,0.028336076,0.0014256187,0.017947754],"study_design_scores_gemma":[0.00003567021,0.000047054426,0.025563033,0.000019686004,0.00006128661,0.000034024815,0.0001202955,0.96625704,0.00020448206,0.006747886,0.00087984523,0.000029750247],"about_ca_topic_score_codex":0.04147197,"about_ca_topic_score_gemma":0.02951124,"teacher_disagreement_score":0.04147197,"about_ca_system_score_codex":0.0011928378,"about_ca_system_score_gemma":0.0006979859,"threshold_uncertainty_score":0.08246112},"labels":[],"label_agreement":null},{"id":"W3135526486","doi":"10.1007/s10584-021-03037-9","title":"Spatial and temporal changes in climate extremes over northwestern North America: the influence of internal climate variability and external forcing","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Precipitation; Environmental science; Coupled model intercomparison project; Climate change; Forcing (mathematics); Climate model; Meteorology; Geography; Geology; Oceanography","score_opus":0.02699397788097061,"score_gpt":0.2506041118766682,"score_spread":0.2236101339956976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135526486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989208,0.00008469389,0.0001256082,0.00015368439,0.0000052587407,0.0000010185165,0.0001951365,0.00000983482,0.0005039262],"genre_scores_gemma":[0.9996018,0.000057444893,0.000038033082,0.000008247028,0.0000048334277,0.0000015725924,0.00011502513,0.0000024194453,0.00017068832],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998758,0.000038022037,0.000008859501,0.00003266175,0.00001525775,0.000029395587],"domain_scores_gemma":[0.9992663,0.00030307515,0.00018883497,0.000048408896,0.00009575305,0.00009758073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006068447,0.00014262089,0.00016192673,0.00030733552,0.00033579613,0.0007966259,0.00022736679,0.0004009253,0.0012090851],"category_scores_gemma":[0.0016757566,0.00018344929,0.0002578773,0.00056788564,0.00051805406,0.0004448154,0.00051163696,0.00038346887,0.000105398416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032368314,0.00009128857,0.9376044,0.000036755155,0.00019840793,0.00019835004,0.00057946227,0.048971698,0.0029068114,0.0011267352,0.0010271728,0.006935285],"study_design_scores_gemma":[0.00001418284,0.000019789835,0.9718408,0.000008993625,0.000038135648,0.000049084214,0.00034314394,0.026330099,0.00019360158,0.0005697674,0.0005828531,0.000009514737],"about_ca_topic_score_codex":0.06397304,"about_ca_topic_score_gemma":0.09488535,"teacher_disagreement_score":0.06397304,"about_ca_system_score_codex":0.00088999345,"about_ca_system_score_gemma":0.0004469261,"threshold_uncertainty_score":0.12720138},"labels":[],"label_agreement":null},{"id":"W3135636474","doi":"10.1007/s10584-021-03044-w","title":"An updated look at petroleum well leaks, ineffective policies and the social cost of methane in Canada’s largest oil-producing province","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Methane; Land reclamation; Environmental science; Petroleum; Fossil fuel; Natural gas; Environmental protection; Methane emissions; Natural resource economics; Business; Waste management; Geography; Engineering; Ecology; Economics; Geology","score_opus":0.011471662756960453,"score_gpt":0.22590957831103262,"score_spread":0.21443791555407216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135636474","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20848337,0.14251213,0.0005332095,0.5069891,0.007845304,0.000077544944,0.041848794,0.00013945304,0.09157108],"genre_scores_gemma":[0.7236798,0.15636607,0.000997215,0.053118616,0.0047137374,0.000050431154,0.01484742,0.00013537584,0.046091303],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99933356,0.00003983559,0.000040079052,0.000030715724,0.00026864608,0.00028716083],"domain_scores_gemma":[0.9947313,0.00061923714,0.00042072395,0.000064462816,0.003180777,0.0009834057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006626838,0.0003955633,0.00036837393,0.004087652,0.0032720973,0.0049648006,0.0010202928,0.0018952208,0.0070230854],"category_scores_gemma":[0.00424173,0.00026419453,0.00047008132,0.0094802175,0.0012734005,0.0024161187,0.0010644002,0.0032585133,0.00033938463],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001370227,0.00012963958,0.10012039,0.0009678239,0.0001811866,0.0007677753,0.0070890184,0.0018345099,0.00046551807,0.0069027464,0.78816813,0.093236275],"study_design_scores_gemma":[0.000022683076,0.00003348865,0.45345488,0.0015691152,0.00012942997,0.00033737774,0.033201844,0.00068438816,0.00021235624,0.0026582812,0.5075919,0.000104349514],"about_ca_topic_score_codex":0.98933965,"about_ca_topic_score_gemma":0.9974137,"teacher_disagreement_score":0.042401157,"about_ca_system_score_codex":0.042401157,"about_ca_system_score_gemma":0.061747972,"threshold_uncertainty_score":0.30764335},"labels":[],"label_agreement":null},{"id":"W3137984442","doi":"10.1007/s10584-021-03013-3","title":"Scenario Planning: Embracing the Potential for Extreme Events in the Colorado River Basin","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawson Foundation; Walton Family Foundation; National Science Foundation","keywords":"Scenario planning; Structural basin; Climate change; Drainage basin; Environmental planning; Citizen journalism; Environmental resource management; Geography; Environmental science; Political science; Business; Ecology","score_opus":0.07416477487120399,"score_gpt":0.28988125740560466,"score_spread":0.21571648253440068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137984442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6321728,0.0051345015,0.09379882,0.06095027,0.0003810281,0.00052782916,0.003796867,0.0003877206,0.20285007],"genre_scores_gemma":[0.9811515,0.0014252114,0.013835132,0.00032233456,0.000044003173,0.00011095932,0.00040709967,0.000023771776,0.002679951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896324,0.0007103375,0.000022992828,0.000084468236,0.00010349019,0.00011548336],"domain_scores_gemma":[0.9985682,0.0006198172,0.00012503832,0.00008082525,0.00027795887,0.00032821033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017740095,0.0004588801,0.00022459854,0.00091765565,0.0019215608,0.0028764452,0.0010243391,0.0015642324,0.0031224284],"category_scores_gemma":[0.00490819,0.00028176155,0.00031309453,0.0016165614,0.0009220822,0.0018874012,0.0013765312,0.0009799341,0.00010691376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018350528,0.0001481235,0.03417011,0.00019470631,0.00020584768,0.0011855582,0.0017853037,0.7263049,0.0010087143,0.12255612,0.03225503,0.08000206],"study_design_scores_gemma":[0.00009262577,0.0002067975,0.037348665,0.0006225421,0.00024452168,0.0005167833,0.012133202,0.6036203,0.0013931064,0.234434,0.10923387,0.000153538],"about_ca_topic_score_codex":0.14334208,"about_ca_topic_score_gemma":0.35023895,"teacher_disagreement_score":0.14334208,"about_ca_system_score_codex":0.003749738,"about_ca_system_score_gemma":0.0071257153,"threshold_uncertainty_score":0.28501546},"labels":[],"label_agreement":null},{"id":"W3150551641","doi":"10.1007/s10584-021-03046-8","title":"Recent changing characteristics of dry and wet spells in Canada","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Climatology; Precipitation; Environmental science; El Niño Southern Oscillation; Quantile; Pacific decadal oscillation; Spatial distribution; Wet season; Atmospheric sciences; Geography; Meteorology; Mathematics; Econometrics; Geology","score_opus":0.03904605304511296,"score_gpt":0.22920142253948667,"score_spread":0.1901553694943737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150551641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888049,0.0016673529,0.00027259262,0.0007926333,0.00004739769,0.0000068988456,0.00540364,0.000051123374,0.0029535196],"genre_scores_gemma":[0.9956625,0.00048640653,0.000115474395,0.000079070735,0.000015483358,0.0000032189912,0.0025922565,0.000018811992,0.0010267808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997805,0.000011363983,0.000013224987,0.000052194322,0.00005467331,0.00008805411],"domain_scores_gemma":[0.99863106,0.00015094069,0.00019681329,0.00003683412,0.0006593441,0.00032497893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040059694,0.0002514686,0.00032854793,0.0014324685,0.0015825612,0.0018052231,0.00075910933,0.0005863505,0.0023854384],"category_scores_gemma":[0.0017318554,0.00019115389,0.00038120922,0.0038015298,0.0006321275,0.00046488037,0.0005147588,0.0004860552,0.00016694875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055621145,0.000067638786,0.9425773,0.00017468138,0.00032975408,0.00027747007,0.002058977,0.0134730525,0.004239978,0.0017406733,0.008682177,0.025822211],"study_design_scores_gemma":[0.0000053956683,0.000003658033,0.99307877,0.000012315381,0.00001767229,0.000021945436,0.00043877418,0.0024308276,0.00009950675,0.000087011285,0.0037914084,0.000012805971],"about_ca_topic_score_codex":0.986725,"about_ca_topic_score_gemma":0.99303997,"teacher_disagreement_score":0.017392378,"about_ca_system_score_codex":0.017392378,"about_ca_system_score_gemma":0.009297473,"threshold_uncertainty_score":0.12619114},"labels":[],"label_agreement":null},{"id":"W3156808258","doi":"10.1007/s10584-021-03085-1","title":"Increasing maximum lake surface temperature under climate change","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Environment Research Council; Universität Innsbruck; Medizinische Universität Innsbruck; Svenska Forskningsrådet Formas; Sight Research UK; Vetenskapsrådet; Global Lake Ecological Observatory Network","keywords":"Environmental science; Surface air temperature; Surface water; Climate change; Maximum temperature; Confidence interval; Mean radiant temperature; Climatology; Ecosystem; Atmospheric sciences; Range (aeronautics); Hydrology (agriculture); Physical geography; Ecology; Geography; Biology; Geology; Mathematics; Statistics; Materials science","score_opus":0.03807430830309608,"score_gpt":0.2502144975859135,"score_spread":0.21214018928281744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156808258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882966,0.00011490647,0.0002660032,0.000023180786,0.0000036930003,0.0000011244919,0.00034829177,0.0000068876325,0.0004062816],"genre_scores_gemma":[0.99971217,0.000021545036,0.000039856535,0.000006262517,0.0000037100824,8.2937936e-7,0.00017322667,0.0000010339389,0.000041327334],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997322,0.00006299197,0.000023698298,0.000084422485,0.000054080396,0.00004250198],"domain_scores_gemma":[0.9988864,0.00021403239,0.00055115623,0.000087955144,0.00018268338,0.000077758035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000564428,0.00012846723,0.0001707806,0.00041247753,0.00015456796,0.000502921,0.00015176594,0.00021138432,0.0008754163],"category_scores_gemma":[0.0016164121,0.00010034761,0.00027271462,0.0005185528,0.00025902214,0.00043196595,0.00036967595,0.00017169003,0.00011459916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009616633,0.000009281089,0.9913936,0.000022946131,0.0001241719,0.00003690391,0.000074417534,0.0013528313,0.0034548556,0.000050367493,0.0001427247,0.0032416885],"study_design_scores_gemma":[7.8965286e-7,0.000016220534,0.9989016,0.0000019876234,0.000008608748,0.000027378852,0.000031965406,0.00057080854,0.00026044645,0.000028186085,0.00015032628,0.0000018099862],"about_ca_topic_score_codex":0.00555444,"about_ca_topic_score_gemma":0.0069091525,"teacher_disagreement_score":0.00555444,"about_ca_system_score_codex":0.00030533495,"about_ca_system_score_gemma":0.00014682108,"threshold_uncertainty_score":0.011044204},"labels":[],"label_agreement":null},{"id":"W3157639880","doi":"10.1007/s10584-021-03058-4","title":"Economic assessment of the development of CO2 direct reduction technologies in long-term climate strategies of the Gulf countries","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Horizon 2020 Framework Programme; Qatar National Research Fund; European Commission; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Context (archaeology); Greenhouse gas; Limiting; Welfare; Natural resource economics; Emissions trading; Software deployment; Climate change; Economics; Business; International economics; Market economy; Engineering; Geography","score_opus":0.09942783802766358,"score_gpt":0.3031199466514556,"score_spread":0.203692108623792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157639880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737717,0.00052828674,0.0074832127,0.00073311117,0.00002209256,0.00007360809,0.00031109498,0.000015607646,0.017061356],"genre_scores_gemma":[0.99768937,0.00019381497,0.0008197517,0.000021776772,0.0000026503315,0.00002303901,0.000049651393,0.0000022459933,0.0011978168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995932,0.00023131623,0.000010516519,0.00003652712,0.000043048243,0.00008544763],"domain_scores_gemma":[0.9986833,0.0007973491,0.00019373848,0.00004211079,0.00015432191,0.00012925471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017030095,0.0006568879,0.00047957807,0.00082957296,0.00048203598,0.002357465,0.0006619062,0.0013249739,0.0026933404],"category_scores_gemma":[0.0029053548,0.00035682382,0.0008746805,0.00071399164,0.0008168583,0.0014809537,0.0011037966,0.00090189226,0.00011433249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034426886,0.00008746598,0.006032282,0.00006316904,0.000087863686,0.00023320259,0.0000445469,0.9552699,0.0009821048,0.033272136,0.00035898227,0.0032241675],"study_design_scores_gemma":[0.00011755088,0.00069193036,0.0078118853,0.00006371535,0.00013214722,0.000067367575,0.0005725318,0.9720381,0.0016071952,0.015032679,0.0018257103,0.000039250666],"about_ca_topic_score_codex":0.014239249,"about_ca_topic_score_gemma":0.00819717,"teacher_disagreement_score":0.014239249,"about_ca_system_score_codex":0.0043892805,"about_ca_system_score_gemma":0.0016153274,"threshold_uncertainty_score":0.031846642},"labels":[],"label_agreement":null},{"id":"W3158578085","doi":"10.1007/s10584-021-03069-1","title":"When rebuilding no longer means recovery: the stress of staying put after Hurricane Sandy","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Rockefeller Foundation","keywords":"Relocation; Flood myth; Government (linguistics); Business; Turnover; Environmental planning; Natural resource economics; Geography; Economics","score_opus":0.14464805782305226,"score_gpt":0.32764916584225856,"score_spread":0.1830011080192063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158578085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972331,0.00014638636,0.000040130708,0.0016754245,0.00003882527,0.0000043005853,0.0000232858,0.0000023382186,0.00083622395],"genre_scores_gemma":[0.9992262,0.00021469899,0.000039749346,0.0002833005,0.000020830135,0.0000036274205,0.000024142604,0.0000011366151,0.00018635002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992756,0.00027569546,0.000043458134,0.00004094593,0.000093544455,0.0002707844],"domain_scores_gemma":[0.99837935,0.00020635764,0.00058439595,0.00005951142,0.00014488753,0.0006255558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006818521,0.00021082496,0.00029648608,0.0003106579,0.0020261381,0.0014475866,0.00041432658,0.00080018496,0.0014274945],"category_scores_gemma":[0.003550953,0.00018704009,0.00029680313,0.00032417243,0.0016698479,0.0008336719,0.0018985394,0.0012928304,0.00018936573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046418095,0.0005231437,0.7776465,0.00023343311,0.00022574677,0.0038181045,0.16269612,0.00031836826,0.0035634649,0.0010252418,0.008059063,0.041426618],"study_design_scores_gemma":[0.000008491524,0.00031551026,0.65026397,0.00012464407,0.000024852186,0.0011085813,0.3435267,0.00014093882,0.00019335044,0.00065292435,0.003604854,0.00003519283],"about_ca_topic_score_codex":0.0073398137,"about_ca_topic_score_gemma":0.02285349,"teacher_disagreement_score":0.0073398137,"about_ca_system_score_codex":0.00072757324,"about_ca_system_score_gemma":0.0009673398,"threshold_uncertainty_score":0.014594138},"labels":[],"label_agreement":null},{"id":"W3159851585","doi":"10.1007/s10584-021-03102-3","title":"Under pressure: conservation choices and the threat of species extinction","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Threatened species; Endangered species; Extinction (optical mineralogy); Environmental resource management; Intervention (counseling); Business; Environmental planning; Ecology; Geography; Psychology; Biology; Economics; Habitat","score_opus":0.0703831603599089,"score_gpt":0.2607320387910177,"score_spread":0.19034887843110881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159851585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87193376,0.0035400118,0.0022800085,0.029439319,0.00012982682,0.000009738933,0.0001210807,0.000010348351,0.09253591],"genre_scores_gemma":[0.9987947,0.00032669073,0.00006769573,0.00025324395,0.000040393643,0.0000016402431,0.0000085302345,0.000002058937,0.0005050576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990828,0.0005487838,0.000021146754,0.00008320767,0.000096526266,0.00016756108],"domain_scores_gemma":[0.99529135,0.0024935931,0.0008240586,0.00015080778,0.0002723967,0.00096782215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002428055,0.00017745775,0.00027476545,0.00065389066,0.001344007,0.0040294514,0.00050707,0.0020005885,0.010229717],"category_scores_gemma":[0.00769965,0.00015524297,0.00015561038,0.00093113416,0.0061393543,0.0028846723,0.0015671297,0.0018055385,0.00022441254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008132564,0.00064111676,0.3867514,0.00024807794,0.0002994011,0.0015419531,0.008369709,0.009928224,0.0017338669,0.49274576,0.008732323,0.088194825],"study_design_scores_gemma":[0.00006819763,0.00017873003,0.31607777,0.00015295639,0.000092973176,0.0010060198,0.023824338,0.010379211,0.00029311233,0.62323666,0.024623275,0.00006680048],"about_ca_topic_score_codex":0.002588228,"about_ca_topic_score_gemma":0.0073245736,"teacher_disagreement_score":0.010229717,"about_ca_system_score_codex":0.0010200936,"about_ca_system_score_gemma":0.0006486906,"threshold_uncertainty_score":0.03422177},"labels":[],"label_agreement":null},{"id":"W3198338970","doi":"10.1007/s10584-021-03215-9","title":"Can citizen pressure influence politicians’ communication about climate change? Results from a field experiment","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of British Columbia","funders":"","keywords":"Parliament; Government (linguistics); Voting; Climate change; Greenhouse gas; Public relations; Political science; Politics; Business; Law","score_opus":0.4043714418584547,"score_gpt":0.44450336504944177,"score_spread":0.04013192319098707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198338970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99463356,0.000010802693,0.0001751611,0.0003428487,0.00003837192,0.00014442767,0.00009079311,0.0000091524635,0.0045548147],"genre_scores_gemma":[0.99625623,0.000019586898,0.00042552248,0.00039864113,0.000045743393,0.00051499833,0.00013940912,0.0000133209,0.0021865042],"study_design_codex":"observational","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9899969,0.0068059103,0.00032999765,0.0011692294,0.00094575813,0.0007522421],"domain_scores_gemma":[0.84043527,0.13518043,0.008768277,0.00762812,0.0036810907,0.004306714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011516012,0.00055721076,0.00075109553,0.00069857814,0.003399372,0.003760957,0.0013750434,0.003379815,0.014904738],"category_scores_gemma":[0.057652794,0.0011110071,0.00054783816,0.00074227364,0.0031636383,0.0024519956,0.0017062568,0.0033025008,0.0015420715],"study_design_candidate":"randomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.06583843,0.2775503,0.4050457,0.0010665254,0.0010827851,0.0012281667,0.11333945,0.0032342828,0.056168005,0.010268218,0.0119772935,0.05320089],"study_design_scores_gemma":[0.013713303,0.04545569,0.8488394,0.00013309564,0.0010726481,0.0003731692,0.0467543,0.009342095,0.0119520845,0.007819814,0.014150026,0.00039429034],"about_ca_topic_score_codex":0.010660721,"about_ca_topic_score_gemma":0.008362399,"teacher_disagreement_score":0.014904738,"about_ca_system_score_codex":0.0017249458,"about_ca_system_score_gemma":0.0019375624,"threshold_uncertainty_score":0.06090325},"labels":[],"label_agreement":null},{"id":"W3204390842","doi":"10.1007/s10584-021-03151-8","title":"Climate change impacts and adaptation for dryland farming systems in Zimbabwe: a stakeholder-driven integrated multi-model assessment","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; International Development Research Centre; Foreign, Commonwealth and Development Office; Department for International Development; Government of the United Kingdom; Consortium of International Agricultural Research Centers; U.S. Department of Agriculture","keywords":"Environmental resource management; Stakeholder; Sustainability; Business; Climate change; Agriculture; Natural resource economics; Environmental planning; Agroforestry; Environmental science; Geography; Economics; Ecology","score_opus":0.33237350319937875,"score_gpt":0.3342381538345526,"score_spread":0.0018646506351738257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204390842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905695,0.00011138364,0.0041302387,0.00033183282,0.0000066994176,0.00013591406,0.0007451956,0.000027957987,0.003941342],"genre_scores_gemma":[0.99599874,0.000083085484,0.002928243,0.000038544822,0.0000036918834,0.00012019628,0.0002698321,0.0000054610973,0.0005522773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995933,0.00022845897,0.000017289012,0.000037918715,0.000036017933,0.000087040506],"domain_scores_gemma":[0.99946696,0.00031388085,0.000056840792,0.00002829514,0.00008939055,0.000044707955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010214745,0.00080399204,0.00044715087,0.0006310985,0.00077341223,0.0015252488,0.0009685303,0.0014513023,0.0017999319],"category_scores_gemma":[0.001623593,0.0004053336,0.00096205587,0.00067707454,0.00045147154,0.000991522,0.0012234272,0.0007767962,0.00009004292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014088345,0.00017028018,0.023066817,0.00006950591,0.00014380949,0.00036548244,0.00020192462,0.9677573,0.001664938,0.002348257,0.00028722166,0.0037836435],"study_design_scores_gemma":[0.000053649423,0.00013752076,0.009911349,0.000023265819,0.000056148183,0.000020243362,0.00036013522,0.9876265,0.0003087623,0.00092698337,0.0005566232,0.000018721588],"about_ca_topic_score_codex":0.07519161,"about_ca_topic_score_gemma":0.05927737,"teacher_disagreement_score":0.07519161,"about_ca_system_score_codex":0.002609003,"about_ca_system_score_gemma":0.0011262306,"threshold_uncertainty_score":0.14950788},"labels":[],"label_agreement":null},{"id":"W3209264840","doi":"10.1007/s10584-021-03222-w","title":"Is it climate change? Coverage by online news sites of the 2019 European summer heatwaves in France, Germany, the Netherlands, and the UK","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Royal Bank of Canada","keywords":"Climate change; Attribution; Geography; Media coverage; Political science; Extreme weather; Climatology; Media studies; Sociology; Psychology","score_opus":0.33640357485736944,"score_gpt":0.4131005941234769,"score_spread":0.07669701926610745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209264840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9251196,0.016624104,0.00027817828,0.005908096,0.00048480765,0.000046282643,0.026520995,0.00009624546,0.024921756],"genre_scores_gemma":[0.97695804,0.009536498,0.0002927531,0.0010633179,0.00079179293,0.00004428484,0.007773419,0.000049243194,0.003490562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985947,0.0004943003,0.00023427472,0.00014068934,0.00035347178,0.00018262846],"domain_scores_gemma":[0.9734116,0.016146095,0.007368069,0.00030132927,0.0018253545,0.00094763376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016720751,0.00025233728,0.00023444185,0.0065719592,0.0004165757,0.002478835,0.00022442087,0.00061207055,0.005452152],"category_scores_gemma":[0.011345149,0.00014065973,0.00019924753,0.0066094263,0.00045638005,0.0019425867,0.0010802781,0.00032855608,0.00065338134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095206726,0.00012281828,0.6344444,0.007901037,0.0005276949,0.003966584,0.062214397,0.0005214339,0.005853519,0.0021916567,0.10595444,0.17534998],"study_design_scores_gemma":[0.000019348858,0.00010501074,0.85767627,0.0022941998,0.00012230873,0.0009790808,0.03740173,0.00031967953,0.0009315257,0.00012717246,0.09997254,0.000051165458],"about_ca_topic_score_codex":0.0104588205,"about_ca_topic_score_gemma":0.014926052,"teacher_disagreement_score":0.0104588205,"about_ca_system_score_codex":0.00076910126,"about_ca_system_score_gemma":0.0003612517,"threshold_uncertainty_score":0.020795882},"labels":[],"label_agreement":null},{"id":"W3210639994","doi":"10.1007/s10584-021-03249-z","title":"The relationship between net GHG emissions and radiative forcing with an application to Article 4.1 of the Paris Agreement","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; National Science Foundation","keywords":"Greenhouse gas; Radiative forcing; Environmental science; Global-warming potential; Scaling; Forcing (mathematics); Global warming; Atmospheric sciences; Methane; Climate change; Climatology; Mathematics; Physics; Chemistry","score_opus":0.03056853154049097,"score_gpt":0.2527542772206159,"score_spread":0.22218574568012492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210639994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7032043,0.006438592,0.07399934,0.01887777,0.0011049579,0.00022162494,0.002996207,0.0007695204,0.19238779],"genre_scores_gemma":[0.9827588,0.001242055,0.0070195924,0.0003155384,0.00022008098,0.00010792154,0.00050209794,0.00007385786,0.0077599986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998161,0.0011640583,0.000041493742,0.00017124406,0.00029658017,0.00016567102],"domain_scores_gemma":[0.9890097,0.008901858,0.0007031333,0.0002574071,0.00094900414,0.00017890503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003668289,0.0007098169,0.0004717813,0.0017031091,0.00087591365,0.0035567114,0.0009523429,0.0013937863,0.005539952],"category_scores_gemma":[0.016023839,0.00026206186,0.0010521129,0.0027801835,0.0016089305,0.00096432754,0.0013077809,0.0020426996,0.0005359542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024598866,0.0001842732,0.105547756,0.0003930438,0.00034946203,0.0020834513,0.0009978601,0.42641747,0.0009987246,0.3930141,0.0249401,0.044827826],"study_design_scores_gemma":[0.00008549554,0.00024987472,0.12809852,0.00018056358,0.00019355967,0.0003308431,0.0017667309,0.6916066,0.0014997239,0.14078352,0.034942314,0.00026221358],"about_ca_topic_score_codex":0.094861686,"about_ca_topic_score_gemma":0.040438376,"teacher_disagreement_score":0.094861686,"about_ca_system_score_codex":0.0046553486,"about_ca_system_score_gemma":0.0019969,"threshold_uncertainty_score":0.18861908},"labels":[],"label_agreement":null},{"id":"W3210703709","doi":"10.1007/s10584-021-03250-6","title":"Future intensity–duration–frequency curves of Edmonton under climate warming and increased convective available potential energy","year":2021,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Government of British Columbia; University of Alberta","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Weather Research and Forecasting Model; Environmental science; Climatology; Climate change; Precipitation; Convective available potential energy; Climate model; Quantile; Transient climate simulation; Greenhouse gas; Meteorology; Global warming; Atmospheric research; Atmospheric sciences; Downscaling; Geography; Econometrics; Geology","score_opus":0.0279417584997606,"score_gpt":0.23046095153137275,"score_spread":0.20251919303161214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210703709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948949,0.000083746665,0.0006512851,0.00023264094,0.000011306801,0.000003138992,0.0009826917,0.000037237107,0.0031030138],"genre_scores_gemma":[0.99628407,0.00004325578,0.00041365117,0.000036089652,0.000007245054,0.000004974379,0.0008617856,0.000010156737,0.0023388325],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995744,0.000004488071,0.0000013944054,0.000011506567,0.0000053147173,0.000019804223],"domain_scores_gemma":[0.9997018,0.000089270114,0.000049917886,0.00002171847,0.0000727884,0.00006441153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028213867,0.00016322717,0.00009829051,0.0003260212,0.0001874071,0.00043606496,0.00031416677,0.0004717242,0.0036651883],"category_scores_gemma":[0.00058340916,0.00010756926,0.00024486188,0.00029473225,0.00024761198,0.0003072318,0.0002761355,0.00026734744,0.00021802804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012456959,0.00016553835,0.61914074,0.00012781814,0.00024459782,0.00043567177,0.0014113806,0.30293956,0.03094474,0.009274351,0.009288461,0.024781503],"study_design_scores_gemma":[0.0000386928,0.00003557287,0.9091289,0.00002720567,0.00004478985,0.000049149163,0.0002983344,0.08248796,0.001071057,0.0011297971,0.0056601968,0.000028357057],"about_ca_topic_score_codex":0.2136634,"about_ca_topic_score_gemma":0.2780875,"teacher_disagreement_score":0.7863366,"about_ca_system_score_codex":0.0014530317,"about_ca_system_score_gemma":0.00060717657,"threshold_uncertainty_score":0.4248395},"labels":[],"label_agreement":null},{"id":"W4210443731","doi":"10.1007/s10584-021-03264-0","title":"Multiple divergent patterns in yellow-cedar growth driven by anthropogenic climate change","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Snowpack; Growing season; Ecosystem; Ecology; Environmental science; Dendrochronology; Geography; Climatology; Physical geography; Biology; Snow","score_opus":0.05013962287302975,"score_gpt":0.25301493731796076,"score_spread":0.202875314444931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210443731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99951875,0.000034991866,0.00012572871,0.000012067233,0.0000012706162,0.0000016433854,0.000123431,0.0000041883154,0.00017791278],"genre_scores_gemma":[0.999668,0.000016175616,0.00008676422,0.00000661767,0.0000017441748,0.000002019417,0.00016642066,0.000001601774,0.00005050171],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997764,0.00004548146,0.000014202578,0.00007700111,0.000047342608,0.000039571587],"domain_scores_gemma":[0.9994368,0.00009567883,0.0001858467,0.00005860007,0.00014037747,0.00008264092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004885517,0.00021127773,0.0002329601,0.0006858164,0.0002784923,0.0005687553,0.00021280049,0.00017143124,0.00049370615],"category_scores_gemma":[0.0005803519,0.00010434787,0.00023442933,0.0006447908,0.00026942778,0.00019628444,0.00036952674,0.00023275737,0.00010471938],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037770755,0.0000133067915,0.99099696,0.000006793832,0.000046465382,0.000060053764,0.00014809894,0.00025834286,0.006566745,0.000028663562,0.000044512763,0.0017922828],"study_design_scores_gemma":[3.656642e-7,0.000004506933,0.9996253,5.883934e-7,0.0000019912743,0.000015778265,0.00006810425,0.00018434624,0.000060867103,0.000008751787,0.00002837719,8.4775206e-7],"about_ca_topic_score_codex":0.008484324,"about_ca_topic_score_gemma":0.023393262,"teacher_disagreement_score":0.008484324,"about_ca_system_score_codex":0.0002872145,"about_ca_system_score_gemma":0.0001567707,"threshold_uncertainty_score":0.016869903},"labels":[],"label_agreement":null},{"id":"W4214644215","doi":"10.1007/s10584-022-03326-x","title":"Assessing the impacts of climate change on climatic extremes in the Congo River Basin","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; United Nations University Institute for Water, Environment, and Health; University of Ottawa","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Downscaling; Precipitation; Environmental science; Climatology; Climate change; Drainage basin; Evapotranspiration; Structural basin; Representative Concentration Pathways; Climate model; Population; Geography; Meteorology; Geology; Ecology","score_opus":0.12504257648721007,"score_gpt":0.3233073082636885,"score_spread":0.1982647317764784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214644215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99720013,0.00016005803,0.00069132505,0.00013374396,0.000006513291,0.000009038066,0.0010199486,0.000032899316,0.00074625027],"genre_scores_gemma":[0.99850595,0.0001057901,0.0005068819,0.000012025839,0.000004580558,0.00000981892,0.00075517374,0.000005232559,0.00009462583],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978524,0.00010106223,0.000018315062,0.000044570614,0.000024287316,0.000026410691],"domain_scores_gemma":[0.99977976,0.00007805726,0.00005494298,0.00002581546,0.000034940607,0.000026557746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056566077,0.00034907335,0.0002437673,0.00044471072,0.00026434418,0.00074785517,0.00025100986,0.00035368686,0.00049266533],"category_scores_gemma":[0.0010903053,0.00017995077,0.0004632644,0.0005428197,0.00018705489,0.0005105469,0.00039261216,0.000322998,0.00006283381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024867314,0.0001333323,0.5392217,0.00007911575,0.0005712409,0.0002651771,0.00015209161,0.44006085,0.0034634678,0.00068889005,0.0010614208,0.014054185],"study_design_scores_gemma":[0.00004100035,0.00013133945,0.5822315,0.000039962706,0.00018074612,0.000065392655,0.00039819194,0.41281378,0.001710009,0.00049536885,0.001839479,0.000053182004],"about_ca_topic_score_codex":0.067597345,"about_ca_topic_score_gemma":0.0665296,"teacher_disagreement_score":0.067597345,"about_ca_system_score_codex":0.0010301042,"about_ca_system_score_gemma":0.00053419237,"threshold_uncertainty_score":0.13440776},"labels":[],"label_agreement":null},{"id":"W4220983988","doi":"10.1007/s10584-022-03312-3","title":"Climate change impacts on ice jam behavior in an inland delta: a new ice jam projection framework","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Climate change; Climatology; Ice cloud; Environmental science; Ice core; Geology; Oceanography","score_opus":0.06743962343598701,"score_gpt":0.292727494527583,"score_spread":0.22528787109159598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220983988","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96668833,0.00025562936,0.01076145,0.0018827541,0.000060218314,0.00007501083,0.003345052,0.0000608508,0.016870672],"genre_scores_gemma":[0.99259275,0.0002747576,0.004501203,0.0000558809,0.00001102319,0.000036841655,0.0013496284,0.000008807727,0.0011691138],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997571,0.000102347134,0.000019286399,0.000039991282,0.000036558133,0.000044663648],"domain_scores_gemma":[0.9996234,0.0000487269,0.0000661621,0.000020941494,0.0001601753,0.0000806026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096425,0.0004120784,0.00026549317,0.0010432166,0.0006233919,0.0020470337,0.000554491,0.0004196167,0.001851899],"category_scores_gemma":[0.0010241171,0.00024246205,0.00054623093,0.0011226669,0.0005559895,0.0012422191,0.0015874403,0.00068293494,0.000091625225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034438734,0.0004999665,0.4539634,0.00021076563,0.0006750961,0.00047028958,0.0021307718,0.41119134,0.0013744117,0.07767017,0.006611701,0.044857673],"study_design_scores_gemma":[0.00006579576,0.0002528808,0.3200308,0.00020519087,0.00033859644,0.000113856295,0.0072032553,0.62939584,0.0008147736,0.027081588,0.014423973,0.00007340522],"about_ca_topic_score_codex":0.13160133,"about_ca_topic_score_gemma":0.21449658,"teacher_disagreement_score":0.13160133,"about_ca_system_score_codex":0.0022683977,"about_ca_system_score_gemma":0.0033586782,"threshold_uncertainty_score":0.26167065},"labels":[],"label_agreement":null},{"id":"W4224086423","doi":"10.1007/s10584-022-03351-w","title":"Correction to: Assessing the impacts of climate change on climatic extremes in the Congo River Basin","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; United Nations University Institute for Water, Environment, and Health; University of Ottawa","funders":"","keywords":"Climate change; Climatology; Geography; Drainage basin; Structural basin; Environmental science; Physical geography; Geology; Oceanography; Cartography; Geomorphology","score_opus":0.11046813552398398,"score_gpt":0.31126503218021967,"score_spread":0.20079689665623568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224086423","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016986317,0.0007682781,0.0005646465,0.02726133,0.96579427,0.000035610006,0.0036797198,0.000340176,0.0013861184],"genre_scores_gemma":[0.033684023,0.010557186,0.0075069168,0.08368419,0.5647332,0.0006917961,0.012931266,0.0028868404,0.28332463],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961085,0.00080448505,0.00088321493,0.000577105,0.0011863655,0.00044034855],"domain_scores_gemma":[0.9583305,0.006162148,0.002128688,0.0029990065,0.027930686,0.0024490291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038983854,0.0024998342,0.003161627,0.0045617074,0.002853268,0.004741447,0.0041399933,0.0049292743,0.10508204],"category_scores_gemma":[0.059082773,0.0014655698,0.0017914046,0.0045343963,0.0019524391,0.0026300824,0.0030338145,0.008686109,0.041842267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031716016,0.000005495881,0.000119407334,0.00016863817,0.000014958685,0.00007516232,0.000026974543,0.00008110005,0.00003380302,0.00028055254,0.9960079,0.003154167],"study_design_scores_gemma":[0.00011669378,0.000022221584,0.0038340625,0.00046041558,0.000054088618,0.00027726442,0.00021598855,0.00064314756,0.00030982099,0.0010875382,0.99290574,0.00007305805],"about_ca_topic_score_codex":0.053827286,"about_ca_topic_score_gemma":0.06664766,"teacher_disagreement_score":0.10508204,"about_ca_system_score_codex":0.0041779247,"about_ca_system_score_gemma":0.0073330346,"threshold_uncertainty_score":0.35153443},"labels":[],"label_agreement":null},{"id":"W4224323388","doi":"10.1007/s10584-022-03354-7","title":"A systematic scoping review of Indigenous governance concepts in the climate governance literature","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Canada Research Chairs","keywords":"Indigenous; Corporate governance; Climate governance; Climate change; Political science; Mainstream; Traditional knowledge; Environmental resource management; Geography; Ecology; Management; Law; Economics; Biology","score_opus":0.06973450162595835,"score_gpt":0.41676552490606666,"score_spread":0.3470310232801083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224323388","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003976181,0.98669785,0.0014480442,0.0033044654,0.0006655165,0.0008924414,0.00062022725,0.00001374893,0.0023816193],"genre_scores_gemma":[0.03103826,0.9610695,0.0031830207,0.0020077596,0.00025340877,0.0015854031,0.000517052,0.000009955343,0.00033560855],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.965327,0.013085889,0.013884848,0.0016197748,0.005203671,0.000878803],"domain_scores_gemma":[0.836561,0.13142104,0.01620908,0.0028970472,0.011801507,0.0011102757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.046640478,0.0011024929,0.0037867038,0.034736488,0.0023690232,0.008280635,0.0020674083,0.0034695494,0.0033222293],"category_scores_gemma":[0.168641,0.0009927436,0.0041976827,0.031392794,0.003861098,0.006744728,0.005202209,0.0022708036,0.0002921077],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013557298,0.000059103197,0.002988183,0.8280775,0.0026444148,0.000257042,0.006718861,0.00030026445,0.00039127338,0.008228459,0.006948575,0.14325067],"study_design_scores_gemma":[0.000024049537,0.00003653684,0.0020864573,0.9608237,0.0033367753,0.000113402435,0.002126693,0.000056190867,0.00008410324,0.0014869687,0.029805254,0.0000198335],"about_ca_topic_score_codex":0.017428875,"about_ca_topic_score_gemma":0.058176007,"teacher_disagreement_score":0.046640478,"about_ca_system_score_codex":0.009021435,"about_ca_system_score_gemma":0.057457246,"threshold_uncertainty_score":0.2466613},"labels":[],"label_agreement":null},{"id":"W4226165499","doi":"10.1007/s10584-021-03294-8","title":"Projections of North American snow from NA-CORDEX and their uncertainties, with a focus on model resolution","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos","funders":"","keywords":"Downscaling; Snow; Climatology; Climate model; Precipitation; Climate change; Environmental science; Latitude; Elevation (ballistics); Geography; Meteorology; Geology","score_opus":0.04732638601902243,"score_gpt":0.23719803419729174,"score_spread":0.18987164817826932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226165499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9243925,0.0013699952,0.008524597,0.0029817775,0.0003794359,0.000048048398,0.031910744,0.00076969434,0.029623112],"genre_scores_gemma":[0.9773541,0.00064292864,0.005373986,0.00011884571,0.00005814686,0.0000681429,0.012161208,0.00008459616,0.0041380217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976,0.00007463458,0.000014436541,0.00004913208,0.0000694373,0.000032413212],"domain_scores_gemma":[0.9992824,0.00009654187,0.00009939597,0.000055537334,0.0003997045,0.000066455665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084091583,0.0005275003,0.0002860634,0.0006119798,0.0006287286,0.0012684561,0.00050819793,0.00050350715,0.0017188445],"category_scores_gemma":[0.0014441409,0.0002717618,0.00052942854,0.0010240512,0.00026218555,0.0008221654,0.0004509769,0.000510317,0.00043898175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083977985,0.0001010533,0.10671196,0.00018876919,0.0003629067,0.00022053215,0.00030483096,0.83072525,0.00274692,0.0096001,0.020777306,0.027420577],"study_design_scores_gemma":[0.00017757464,0.00008625228,0.21858674,0.00017654074,0.00014445199,0.00014276826,0.0007196325,0.6916951,0.004567835,0.00900086,0.07458614,0.0001162162],"about_ca_topic_score_codex":0.2487273,"about_ca_topic_score_gemma":0.31695548,"teacher_disagreement_score":0.2487273,"about_ca_system_score_codex":0.0032009296,"about_ca_system_score_gemma":0.002524572,"threshold_uncertainty_score":0.4945591},"labels":[],"label_agreement":null},{"id":"W4226278231","doi":"10.1007/s10584-022-03313-2","title":"Interhemispheric asymmetry of climate change projections of boreal winter surface winds in CanESM5 large ensemble simulations","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Northern Hemisphere; Latitude; Southern Hemisphere; Climate model; Subtropics; Environmental science; Atmospheric circulation; Boreal; Atmospheric sciences; Global wind patterns; Climate change; Middle latitudes; Geology; Oceanography","score_opus":0.047427891389867534,"score_gpt":0.28467556745759437,"score_spread":0.23724767606772684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226278231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898369,0.00017762464,0.0033487738,0.00023637581,0.000048921367,0.000025410007,0.0036843629,0.00022904103,0.0024125618],"genre_scores_gemma":[0.992698,0.00009657474,0.0019011763,0.000046037938,0.000015769017,0.00003204038,0.0049378546,0.00002798527,0.00024466438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996655,0.00008984962,0.000023873054,0.000089319845,0.000071321476,0.000060221304],"domain_scores_gemma":[0.9991435,0.00027325362,0.00008712655,0.00012347425,0.00028039282,0.00009233958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00169204,0.0007967406,0.00050119293,0.00059498503,0.000574916,0.0008667756,0.00084557326,0.0005887059,0.00097555947],"category_scores_gemma":[0.0026837846,0.00032131094,0.001038683,0.00083133334,0.0003076973,0.0006816296,0.0004985024,0.0007002482,0.00012224335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016795716,0.00006729986,0.081991024,0.000038085138,0.00047255232,0.00009008061,0.00005139648,0.907694,0.0015528084,0.00082305336,0.0018456858,0.0052060685],"study_design_scores_gemma":[0.00005030426,0.00004233168,0.04720622,0.000009103329,0.000071332295,0.000013372032,0.00003711808,0.95064634,0.0007665987,0.00039804672,0.0007258405,0.00003334953],"about_ca_topic_score_codex":0.20904575,"about_ca_topic_score_gemma":0.166547,"teacher_disagreement_score":0.20904575,"about_ca_system_score_codex":0.0013839133,"about_ca_system_score_gemma":0.0015799009,"threshold_uncertainty_score":0.415658},"labels":[],"label_agreement":null},{"id":"W4229019820","doi":"10.1007/s10584-022-03358-3","title":"Influences of atmospheric blocking on North American summer heatwaves in a changing climate: a comparison of two Canadian Earth system model large ensembles","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Blocking (statistics); Climatology; Environmental science; Climate model; Climate change; Advection; Atmospheric sciences; Meteorology; Geography; Geology; Oceanography","score_opus":0.05605991421676484,"score_gpt":0.2926484330445719,"score_spread":0.23658851882780704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229019820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918785,0.00033588972,0.0013124141,0.00018050472,0.00003859519,0.00003673907,0.00402374,0.00021281414,0.0019808605],"genre_scores_gemma":[0.99219865,0.00021260507,0.0015728126,0.00005020967,0.000013000174,0.000026836857,0.005383037,0.00003797851,0.00050478225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972576,0.000045284833,0.000015985925,0.00007589484,0.000074418385,0.00006276387],"domain_scores_gemma":[0.9990157,0.00017710833,0.00006446199,0.00009979205,0.00051072845,0.00013217222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010823187,0.0009374553,0.0005789202,0.0006693074,0.0011571208,0.0009870577,0.0014649482,0.0005178909,0.0007122756],"category_scores_gemma":[0.0016361106,0.0003626765,0.001169043,0.0011215247,0.00039732235,0.00053898006,0.0005295272,0.0005678261,0.00010315071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050213386,0.00021520171,0.2515689,0.00009523489,0.0010933297,0.00014310324,0.00018982215,0.72015953,0.0030398406,0.0006455664,0.0046755825,0.017671803],"study_design_scores_gemma":[0.0001560113,0.00005725815,0.19478688,0.000025861931,0.0003662167,0.00002376207,0.00018751857,0.799894,0.0016302963,0.0002252849,0.002540476,0.00010653484],"about_ca_topic_score_codex":0.9635578,"about_ca_topic_score_gemma":0.9528244,"teacher_disagreement_score":0.03644222,"about_ca_system_score_codex":0.006894374,"about_ca_system_score_gemma":0.008046848,"threshold_uncertainty_score":0.073313594},"labels":[],"label_agreement":null},{"id":"W4237820858","doi":"10.1007/s10584-007-9317-5","title":"The relationship between climate and outbreak characteristics of the spruce budworm in eastern Canada","year":2007,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":132,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service; Natural Resources Canada","funders":"","keywords":"Spruce budworm; Outbreak; Geography; Spatial ecology; Environmental science; Climate change; Physical geography; Ordination; Ecology; Forestry; Climatology; Lepidoptera genitalia; Biology; Geology","score_opus":0.032503981976501756,"score_gpt":0.24384134210927622,"score_spread":0.21133736013277446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237820858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991984,0.00011784226,0.000021805905,0.000049538576,0.0000020239465,0.0000022103434,0.00019174865,0.0000021378892,0.00041422015],"genre_scores_gemma":[0.9994808,0.000090129935,0.00001918838,0.000014334133,0.000001706561,0.0000010432386,0.00019133679,0.0000012211966,0.00020027097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977046,0.0000227232,0.000011865428,0.000037692145,0.000044440756,0.000112714086],"domain_scores_gemma":[0.99817455,0.00031597973,0.0003838947,0.000054165248,0.0005210974,0.00055031665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036544347,0.00015171111,0.00017132127,0.0009269994,0.0010857809,0.0008195356,0.00047290718,0.00033613064,0.0013979306],"category_scores_gemma":[0.0014646163,0.00018386188,0.00017714703,0.0010553368,0.0006242111,0.00023222648,0.00032592798,0.00046751075,0.000090204485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090365524,0.000021152302,0.99707246,0.0000055006585,0.00003360791,0.000058408164,0.00028036698,0.0001881541,0.0007815064,0.000034025088,0.00013540525,0.001298994],"study_design_scores_gemma":[9.44238e-7,0.00000399344,0.99952817,0.0000015410933,0.0000033576027,0.00001562152,0.0002636954,0.00007598346,0.000024567993,0.000006166037,0.00007450507,0.0000015396155],"about_ca_topic_score_codex":0.9530828,"about_ca_topic_score_gemma":0.98612344,"teacher_disagreement_score":0.0469172,"about_ca_system_score_codex":0.0065115173,"about_ca_system_score_gemma":0.0042129243,"threshold_uncertainty_score":0.094386935},"labels":[],"label_agreement":null},{"id":"W4251217825","doi":"10.1023/a:1024423925161","title":"The Impact that Elevation Has on the ENSO Signal in Precipitation Records from the Gulf of Alaska Region","year":2003,"lang":"en","type":"article","venue":"Climatic Change","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Teleconnection; Climatology; Precipitation; Ice core; Snow; Anomaly (physics); Geology; Paleoclimatology; Multivariate ENSO index; El Niño Southern Oscillation; Troposphere; Pacific decadal oscillation; Environmental science; Southern oscillation; Climate change; Oceanography; Geography; Meteorology","score_opus":0.14188944256366456,"score_gpt":0.29308334882983583,"score_spread":0.15119390626617127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251217825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99799806,0.00014654672,0.000053264834,0.00017534009,0.00001710773,6.2213064e-7,0.00037328448,0.0000028797415,0.0012328413],"genre_scores_gemma":[0.9992895,0.00012761545,0.000023571569,0.000017494065,0.000018362913,4.657513e-7,0.0002658281,0.000002418851,0.00025478136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998523,0.00004573681,0.000018768918,0.000025635458,0.000026789536,0.000030801002],"domain_scores_gemma":[0.99901426,0.0005167467,0.0001581886,0.000059382084,0.00017196382,0.00007942958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003937371,0.00010191156,0.00009881462,0.00033175177,0.00034521733,0.00079430296,0.00009729282,0.00027961825,0.0012313625],"category_scores_gemma":[0.0019789021,0.00010772549,0.00014632047,0.0005465955,0.000302935,0.00041549854,0.0003262799,0.00034037596,0.0001753773],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024039592,0.000023735254,0.98794264,0.000015519227,0.000056974528,0.00014437703,0.0002390138,0.0013041431,0.0033342028,0.00027409446,0.0002964954,0.006128404],"study_design_scores_gemma":[0.0000017206354,0.000008772508,0.99875796,0.0000031955763,0.000013221708,0.000028174909,0.00012865389,0.00049403234,0.00017844203,0.000038571623,0.00034542932,0.0000017946941],"about_ca_topic_score_codex":0.01681953,"about_ca_topic_score_gemma":0.043167066,"teacher_disagreement_score":0.01681953,"about_ca_system_score_codex":0.00038033279,"about_ca_system_score_gemma":0.00026955805,"threshold_uncertainty_score":0.033443272},"labels":[],"label_agreement":null},{"id":"W4281484652","doi":"10.1007/s10584-022-03372-5","title":"Political ideology and psychological reactance: how serious should climate change be?","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Reactance; Seriousness; Climate change; Politics; Situational ethics; Action (physics); Social psychology; Ideology; Psychology; Political science; Law; Engineering","score_opus":0.7755103318192147,"score_gpt":0.5179833751733722,"score_spread":0.25752695664584246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281484652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9020073,0.0032968305,0.0017845262,0.039815143,0.0005519751,0.00002769556,0.00010944659,0.000019719437,0.05238743],"genre_scores_gemma":[0.9984571,0.00035518687,0.00011623177,0.00066227507,0.00008851078,0.0000067074116,0.000013862537,0.0000055196188,0.00029462654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818426,0.0010573919,0.000050878112,0.00017759748,0.00029918476,0.00023063821],"domain_scores_gemma":[0.9847206,0.009183227,0.003068653,0.00048878073,0.0011002257,0.0014385753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043362984,0.0002701212,0.00025316916,0.0008253449,0.0009766109,0.0053094015,0.00053346297,0.0026852102,0.005816964],"category_scores_gemma":[0.023879025,0.00026287066,0.000328243,0.0009093848,0.004407233,0.0030982606,0.0016257331,0.0027651095,0.00030036768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012021393,0.0010560572,0.59261626,0.00065659214,0.0005245218,0.0010172777,0.13190275,0.0019236624,0.0047549075,0.13486838,0.008124097,0.12135338],"study_design_scores_gemma":[0.00011187412,0.00022387151,0.7542602,0.00035279366,0.00026975898,0.0004875624,0.13031642,0.0025892789,0.0008827705,0.09524642,0.015086618,0.00017246325],"about_ca_topic_score_codex":0.0031298553,"about_ca_topic_score_gemma":0.0030049873,"teacher_disagreement_score":0.005816964,"about_ca_system_score_codex":0.0010449497,"about_ca_system_score_gemma":0.0010236226,"threshold_uncertainty_score":0.022932827},"labels":[],"label_agreement":null},{"id":"W4281896600","doi":"10.1007/s10584-022-03364-5","title":"The impact of a bias-correction approach (delta change) applied directly to hydrological model output when modelling the severity of ice jam flooding under future climate scenarios","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; Alberta Environment and Protected Areas; University of Saskatchewan","funders":"","keywords":"Flooding (psychology); Delta; Climate change; Environmental science; Climatology; Climate model; Meteorology; Geology; Geography; Oceanography; Engineering","score_opus":0.08889510562288436,"score_gpt":0.2553468843373426,"score_spread":0.16645177871445824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281896600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797198,0.00022118955,0.016312575,0.0005051268,0.00016036225,0.00007910831,0.00069068203,0.00018410257,0.0021269582],"genre_scores_gemma":[0.9937117,0.000053962533,0.0055898647,0.00008022884,0.000014253487,0.000019336734,0.00019240448,0.00003517878,0.0003031714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985941,0.0007411693,0.00013949886,0.00023311234,0.0001706892,0.00012132962],"domain_scores_gemma":[0.9926743,0.004641796,0.0005308258,0.0005337997,0.0014353829,0.00018382398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004744522,0.000645708,0.0005024191,0.00069831085,0.0006634931,0.0018249116,0.000979661,0.0018422331,0.0008777225],"category_scores_gemma":[0.017875893,0.00045922733,0.00078084803,0.0009922883,0.0006974443,0.0016074964,0.00067497743,0.0013169956,0.00011650667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056864595,0.00025115177,0.10708788,0.00011627396,0.00037530117,0.00020444662,0.0001232741,0.86894387,0.0044017727,0.0012062598,0.00046880517,0.01625235],"study_design_scores_gemma":[0.0000790238,0.00017584473,0.020900669,0.000023781775,0.0000903181,0.000039207313,0.00006772717,0.97355044,0.0040318263,0.00054358924,0.0004670896,0.000030423042],"about_ca_topic_score_codex":0.06953539,"about_ca_topic_score_gemma":0.05786593,"teacher_disagreement_score":0.06953539,"about_ca_system_score_codex":0.0012624448,"about_ca_system_score_gemma":0.002164492,"threshold_uncertainty_score":0.13826126},"labels":[],"label_agreement":null},{"id":"W4283645176","doi":"10.1007/s10584-022-03390-3","title":"Russian climate scepticism: an understudied case","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Skepticism; Countermovement; Politics; Context (archaeology); Climate change; Political science; Environmental ethics; Balance (ability); Authoritarianism; Political economy; Sociology; Geography; Law; Epistemology; Psychology; Democracy; Ecology; Philosophy","score_opus":0.8131568293520012,"score_gpt":0.5221482916689767,"score_spread":0.2910085376830245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283645176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9343028,0.0014591353,0.0011670416,0.018904822,0.00010704112,0.000016274314,0.000018792563,0.00001087123,0.04401316],"genre_scores_gemma":[0.9988513,0.00027415503,0.000061390776,0.0003813765,0.000013455958,0.0000032246658,0.0000028521642,0.000001987294,0.00041014684],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99511224,0.002976779,0.00017682227,0.0003740544,0.00059618306,0.00076385436],"domain_scores_gemma":[0.99334335,0.004191316,0.0012874034,0.0004149055,0.0003728593,0.00039005248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046830312,0.00024625938,0.0003844522,0.0012260211,0.009357689,0.004184089,0.0007918695,0.0029333949,0.0023081703],"category_scores_gemma":[0.009835311,0.0002014881,0.00031583864,0.0014748725,0.016076567,0.0026830533,0.0039303713,0.0042485874,0.00027131598],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005621183,0.00008969854,0.036054958,0.00018894323,0.000030320078,0.02808502,0.6461102,0.00030134706,0.00079713477,0.26491296,0.003556808,0.019816462],"study_design_scores_gemma":[0.000020920254,0.00008545412,0.026153669,0.0011513066,0.000062742714,0.020714171,0.8164463,0.0012263247,0.0011648607,0.0589214,0.07398362,0.00006920826],"about_ca_topic_score_codex":0.012118982,"about_ca_topic_score_gemma":0.01024369,"teacher_disagreement_score":0.012118982,"about_ca_system_score_codex":0.0042997613,"about_ca_system_score_gemma":0.002789998,"threshold_uncertainty_score":0.031197071},"labels":[],"label_agreement":null},{"id":"W4285045584","doi":"10.1007/s10584-022-03399-8","title":"Unravelling the effect of climate change on fire danger and fire behaviour in the Transboundary Biosphere Reserve of Meseta Ibérica (Portugal-Spain)","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Directorate for Biological Sciences","keywords":"Climate change; Environmental science; Shrubland; Fire regime; Biosphere; Evergreen; Mediterranean climate; Ecosystem; Climatology; Physical geography; Atmospheric sciences; Ecology; Geography; Geology","score_opus":0.023312718036880956,"score_gpt":0.24756396849202858,"score_spread":0.22425125045514763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285045584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987078,0.00013522246,0.00014008777,0.000047437134,0.000003823114,0.0000049320724,0.00032085986,0.0000066735265,0.0006331807],"genre_scores_gemma":[0.9992902,0.000054547414,0.00025983414,0.00001109831,0.000003418313,0.000005155,0.00022420881,0.0000028772565,0.0001486275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978274,0.00005882942,0.000012727863,0.00005653088,0.00003207398,0.000057074813],"domain_scores_gemma":[0.9995596,0.00008943567,0.00012040682,0.00004144898,0.000120280456,0.00006891999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006544131,0.0002879062,0.00025720868,0.00054092106,0.00027062258,0.0007215834,0.00040440957,0.00036793033,0.00080293283],"category_scores_gemma":[0.000621498,0.000086931126,0.00043820703,0.0006291257,0.00020352514,0.00034092268,0.00037135056,0.00021758716,0.00009843834],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027164604,0.0000727587,0.9762784,0.00006067552,0.00019475361,0.00025365947,0.00028544135,0.00950629,0.003265789,0.00018113536,0.00030670268,0.0093226535],"study_design_scores_gemma":[0.0000050286503,0.000025612886,0.9930628,0.000010956266,0.00002455917,0.000026623842,0.0005110552,0.005442987,0.00026467833,0.000032126212,0.00058764283,0.000005927752],"about_ca_topic_score_codex":0.22229068,"about_ca_topic_score_gemma":0.2979587,"teacher_disagreement_score":0.22229068,"about_ca_system_score_codex":0.0015644736,"about_ca_system_score_gemma":0.00071998016,"threshold_uncertainty_score":0.44199365},"labels":[],"label_agreement":null},{"id":"W4285735718","doi":"10.1007/s10584-022-03404-0","title":"On the relative importance of climatic and non-climatic factors in crop yield models","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Climate change; Climate model; Environmental science; Crop yield; Precipitation; Statistical model; Variable (mathematics); Climatology; Statistics; Yield (engineering); Mean squared error; Econometrics; Mathematics; Meteorology; Ecology; Geography; Biology","score_opus":0.14315609067510174,"score_gpt":0.26016724616631876,"score_spread":0.11701115549121702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285735718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7080825,0.0043722694,0.25444084,0.003987418,0.00035137514,0.00009406986,0.0004708102,0.00051635207,0.027684381],"genre_scores_gemma":[0.9882261,0.0007189579,0.008701827,0.00017918248,0.00012580158,0.000023151088,0.00013100184,0.0001286576,0.0017651769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991431,0.0005975668,0.000037968493,0.00007137475,0.00009594864,0.000053916785],"domain_scores_gemma":[0.98738563,0.011545076,0.00024320703,0.00026456255,0.00039099215,0.00017052033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045935297,0.00074720796,0.0007105654,0.0005530242,0.0006111947,0.0013356527,0.0012284062,0.00089720683,0.001987081],"category_scores_gemma":[0.021435868,0.00046985774,0.00055801915,0.00061288424,0.0009129085,0.0019156913,0.001266123,0.0014177731,0.00028427987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012770994,0.000040969866,0.00425574,0.000052504955,0.00007767977,0.000047006688,0.000036055513,0.9791461,0.00088373007,0.006504256,0.00040705813,0.0084212795],"study_design_scores_gemma":[0.000010074087,0.00001141866,0.0007660864,0.000007111379,0.00002065165,0.0000069519983,0.000008772358,0.9971419,0.00017653996,0.0016767129,0.0001694239,0.0000043193368],"about_ca_topic_score_codex":0.0140607385,"about_ca_topic_score_gemma":0.016022913,"teacher_disagreement_score":0.0140607385,"about_ca_system_score_codex":0.0005961895,"about_ca_system_score_gemma":0.00068882696,"threshold_uncertainty_score":0.027957797},"labels":[],"label_agreement":null},{"id":"W4306771028","doi":"10.1007/s10584-022-03444-6","title":"A canary, a coal mine, and imperfect data: determining the efficacy of open-source climate change models in detecting and predicting extreme weather events in Northern and Western Kenya","year":2022,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Extreme weather; Warning system; Climate change; Flood myth; Environmental science; Climatology; Predictive modelling; Early warning system; Agriculture; Meteorology; Geography; Computer science; Ecology; Machine learning","score_opus":0.0817784419897449,"score_gpt":0.2860794661450175,"score_spread":0.2043010241552726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306771028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667275,0.00013385908,0.0013801121,0.00020434133,0.00001171016,0.000026270458,0.00051405566,0.000030739764,0.0010261512],"genre_scores_gemma":[0.997315,0.00008205424,0.0018204278,0.000023261988,0.0000057984066,0.000011821057,0.000564321,0.0000055871324,0.00017162907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941313,0.00029563348,0.00005413521,0.00011044824,0.000059287617,0.0000674059],"domain_scores_gemma":[0.99431026,0.004021596,0.00057822524,0.00034677668,0.0005313955,0.00021176596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002597992,0.0005786694,0.00026651472,0.0005011213,0.0005964891,0.0008373126,0.0005219354,0.0006981036,0.00061026885],"category_scores_gemma":[0.011482162,0.00023925691,0.00037812622,0.0005559837,0.0005267677,0.0018974077,0.0006553824,0.00058796734,0.00013142859],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094377267,0.0005494364,0.5699005,0.00018124028,0.00041121047,0.00026910988,0.0003567388,0.38753545,0.0030471657,0.0013773124,0.0013917984,0.0340364],"study_design_scores_gemma":[0.00008365671,0.00026953875,0.22232112,0.000093598464,0.00011556027,0.000089527086,0.00072543474,0.7704115,0.0037319788,0.00075615576,0.0013447691,0.000057134945],"about_ca_topic_score_codex":0.09001263,"about_ca_topic_score_gemma":0.12743872,"teacher_disagreement_score":0.09001263,"about_ca_system_score_codex":0.0010441064,"about_ca_system_score_gemma":0.0011295963,"threshold_uncertainty_score":0.17897743},"labels":[],"label_agreement":null},{"id":"W4318333108","doi":"10.1007/s10584-023-03483-7","title":"Exploring public acceptability of direct air carbon capture with storage: climate urgency, moral hazards and perceptions of the ‘whole versus the parts’","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Pacific Institute for Climate Solutions","keywords":"Corporate governance; Carbon capture and storage (timeline); Climate change; Perception; Environmental science; Environmental resource management; Business; Environmental economics; Psychology; Ecology; Economics","score_opus":0.15403533723896046,"score_gpt":0.316255824872015,"score_spread":0.16222048763305452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318333108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99374735,0.000046926118,0.000108082255,0.0014928828,0.000014183054,0.000010375238,0.00001570225,0.0000015841476,0.0045628743],"genre_scores_gemma":[0.9996798,0.000023791188,0.000029501196,0.000095829586,0.0000066976145,0.000004820983,0.000007683892,0.0000013010952,0.0001506204],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9923558,0.004422372,0.00034658288,0.00029598252,0.0014006521,0.0011785207],"domain_scores_gemma":[0.9637678,0.018814534,0.008227245,0.0009587947,0.00544803,0.0027835236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009845616,0.0002782662,0.00031328655,0.001137502,0.0027090567,0.0046129255,0.0007433486,0.0022094913,0.0042947973],"category_scores_gemma":[0.030733583,0.0003465809,0.00080895267,0.0008886221,0.0051453146,0.0029750129,0.0034054385,0.0044523724,0.00021981794],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072150695,0.0020283253,0.629112,0.00023269704,0.00023787263,0.0006859852,0.3309479,0.0008272095,0.0013466463,0.008488108,0.0010624483,0.024309186],"study_design_scores_gemma":[0.000056557135,0.00055927265,0.3691771,0.00013072917,0.00010714905,0.00019834754,0.6193688,0.0017643792,0.00069958164,0.0028408156,0.005018497,0.00007875241],"about_ca_topic_score_codex":0.017138747,"about_ca_topic_score_gemma":0.0198989,"teacher_disagreement_score":0.017138747,"about_ca_system_score_codex":0.0034737166,"about_ca_system_score_gemma":0.0031433513,"threshold_uncertainty_score":0.052069187},"labels":[],"label_agreement":null},{"id":"W4378833793","doi":"10.1007/s10584-023-03552-x","title":"Historical temperature and wind conditions in the Hudson Strait region from 1880 to 1950: Kangiqsujuaq, Quaqtaq, and Killiniq","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Climatology; North Atlantic oscillation; Atmospheric circulation; Sea surface temperature; Environmental science; Period (music); Geography; Atmospheric temperature; Climatic variability; Climate change; Physical geography; Oceanography; Geology","score_opus":0.05023132553799576,"score_gpt":0.2508973986904312,"score_spread":0.20066607315243545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378833793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977436,0.00035280813,0.000032710115,0.000054448556,0.000015072726,0.000002274847,0.0009997865,0.0000028347697,0.0007964538],"genre_scores_gemma":[0.99814665,0.00021634667,0.000048070135,0.0000147060455,0.000008056634,0.0000032965404,0.000984682,0.0000012585592,0.0005769184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993205,0.0000064006467,0.0000071053314,0.000017234115,0.0000081776325,0.000028941204],"domain_scores_gemma":[0.9997688,0.000022414606,0.000057845726,0.000010215082,0.00008965748,0.00005120548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025978117,0.00017325644,0.00012921925,0.0008368731,0.00037646646,0.00038365938,0.00027932355,0.00014586313,0.0011466208],"category_scores_gemma":[0.00047274493,0.00013938172,0.00018292599,0.0015710464,0.0004292938,0.00033068855,0.0003414182,0.0002786246,0.00018508981],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047586258,0.000014499888,0.9912724,0.00002989088,0.00006077182,0.00015011149,0.0014651723,0.00041514123,0.00029853007,0.00021638804,0.0007745825,0.0052549466],"study_design_scores_gemma":[0.0000018297292,0.000008117784,0.99759716,0.000006787328,0.000013044234,0.000024716948,0.00065209257,0.0000819141,0.000042362382,0.000011000343,0.0015588457,0.0000021767544],"about_ca_topic_score_codex":0.3136075,"about_ca_topic_score_gemma":0.45195118,"teacher_disagreement_score":0.6863925,"about_ca_system_score_codex":0.0016827928,"about_ca_system_score_gemma":0.0010212653,"threshold_uncertainty_score":0.62356424},"labels":[],"label_agreement":null},{"id":"W4382939846","doi":"10.1007/s10584-023-03568-3","title":"Mapping vessel traffic patterns in the ice-covered waters of the Pacific Arctic","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Alaska Conservation Foundation; National Science Foundation","keywords":"Arctic ice pack; Sea ice; Arctic; Environmental science; Oceanography; Commercial fishing; Physical geography; Fishery; Geography; Fishing; Geology","score_opus":0.044854491974225724,"score_gpt":0.22495789335706237,"score_spread":0.18010340138283665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382939846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987709,0.000028546543,0.00009181595,0.000008502847,0.0000015056239,0.0000049485448,0.00072254037,0.0000034816198,0.0003676184],"genre_scores_gemma":[0.99777764,0.00010029347,0.00044606157,0.000007638848,0.0000033664135,0.000015461537,0.0014157596,0.0000024596627,0.00023135655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998665,0.000020685973,0.000009750826,0.00003601816,0.000031229378,0.000035822723],"domain_scores_gemma":[0.9995752,0.00006698674,0.00013144189,0.000013878273,0.00012975889,0.00008276358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025834388,0.0002052273,0.00016108496,0.0016368857,0.00040257158,0.000554324,0.00022048524,0.00018143402,0.00045065698],"category_scores_gemma":[0.0006839409,0.00011910931,0.00017174799,0.0018026043,0.0001670717,0.0002508094,0.00041402693,0.00013664164,0.00009786413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003412841,0.000015508778,0.9941028,0.000016042393,0.000029905215,0.00006578504,0.0004564321,0.0005415794,0.0007510001,0.000024981762,0.00016361556,0.0037980624],"study_design_scores_gemma":[9.189227e-7,0.000011169625,0.9969099,0.000012225225,0.000008954613,0.00002693085,0.0011308977,0.00150444,0.00008045221,0.000011838951,0.0002999926,0.000002388638],"about_ca_topic_score_codex":0.20944564,"about_ca_topic_score_gemma":0.29476985,"teacher_disagreement_score":0.20944564,"about_ca_system_score_codex":0.00052421924,"about_ca_system_score_gemma":0.00074402866,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4385286751","doi":"10.1007/s10584-023-03572-7","title":"An empirical estimate for the snow albedo feedback effect","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Snow; Albedo (alchemy); Environmental science; Meteorology; Climatology; Atmospheric sciences; Econometrics; Geology; Economics; Geography","score_opus":0.11886409254197586,"score_gpt":0.3481658590711843,"score_spread":0.22930176652920845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385286751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6143556,0.0030884754,0.32949215,0.0019856591,0.0001998981,0.00020073312,0.0039691413,0.00075653766,0.04595174],"genre_scores_gemma":[0.97999406,0.00044615706,0.016051525,0.00015899561,0.00007821721,0.00007898472,0.00078128756,0.000037127404,0.002373667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997279,0.000079103826,0.000019197096,0.00008042681,0.00007403854,0.000019377556],"domain_scores_gemma":[0.992667,0.0062139444,0.00034018268,0.00035806777,0.00037759612,0.00004316188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001277298,0.0002576517,0.00021626674,0.0008605324,0.0001669424,0.00045737368,0.00037537343,0.00046474813,0.005077266],"category_scores_gemma":[0.013715661,0.00014656887,0.00024365993,0.0004812461,0.00028394454,0.0011890099,0.00038063238,0.00053254445,0.00053793995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038100977,0.0003271586,0.33316028,0.00070319494,0.00051620556,0.00045801868,0.0004271861,0.24185556,0.018190773,0.11308661,0.008921563,0.28197244],"study_design_scores_gemma":[0.00009953758,0.00016236353,0.44617736,0.00019649306,0.00020765008,0.0010696717,0.0003300033,0.4655016,0.008436337,0.05917847,0.018583491,0.00005711489],"about_ca_topic_score_codex":0.0024138934,"about_ca_topic_score_gemma":0.0025581014,"teacher_disagreement_score":0.005077266,"about_ca_system_score_codex":0.0003401468,"about_ca_system_score_gemma":0.0002744675,"threshold_uncertainty_score":0.016985178},"labels":[],"label_agreement":null},{"id":"W4385970554","doi":"10.1007/s10584-023-03596-z","title":"Projecting climate change impacts on ice phenology across Midwestern and Northeastern United States lakes","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Climate change; Phenology; Environmental science; Physical geography; Climatology; Cryosphere; Geography; Sea ice; Oceanography; Ecology; Geology; Biology","score_opus":0.07224328339599911,"score_gpt":0.293773130275061,"score_spread":0.2215298468790619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385970554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997393,0.00007590507,0.00017643056,0.00020173787,0.00000827582,0.0000064054225,0.00132945,0.0000089133755,0.0007997899],"genre_scores_gemma":[0.99680567,0.00018803272,0.00047845705,0.00006547018,0.000008235535,0.000018784336,0.0016090418,0.000004206448,0.0008221179],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998473,0.00003535318,0.000011242928,0.000044461212,0.000017656497,0.00004397492],"domain_scores_gemma":[0.9996088,0.00008499862,0.0000809615,0.000021843902,0.00011770777,0.00008574668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054549886,0.0002995618,0.0001885474,0.00055233645,0.00059622084,0.0010128547,0.00038934918,0.0004631476,0.0013836313],"category_scores_gemma":[0.0013273982,0.00029718055,0.0006427045,0.00092505035,0.00022763164,0.00082799,0.0008979898,0.00038639424,0.00014788359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019606961,0.00013595485,0.9348132,0.000038080398,0.00023613164,0.0002249521,0.0004682779,0.052512076,0.00105785,0.0005735907,0.0014840576,0.008259827],"study_design_scores_gemma":[0.000060687362,0.00008070512,0.9062075,0.000053932406,0.00018780724,0.000059828024,0.00305358,0.085287064,0.0007202601,0.00063990976,0.003627018,0.000021681151],"about_ca_topic_score_codex":0.55249035,"about_ca_topic_score_gemma":0.70143384,"teacher_disagreement_score":0.55249035,"about_ca_system_score_codex":0.0027838622,"about_ca_system_score_gemma":0.0025503545,"threshold_uncertainty_score":0.90029025},"labels":[],"label_agreement":null},{"id":"W4387972758","doi":"10.1007/s10584-023-03629-7","title":"Climate-induced shifts in irrigation water demand and supply during sensitive crop growth phases in South Asia","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Department for International Development; Government of the United Kingdom","keywords":"Irrigation; Environmental science; Precipitation; Sowing; Climate change; Agronomy; Water resources; Crop; Growing season; Hydrology (agriculture); Biology; Geography; Ecology; Geology","score_opus":0.0632639054907583,"score_gpt":0.26196873689516026,"score_spread":0.19870483140440195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387972758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99951553,0.000014214508,0.00007451934,0.000015976024,6.213368e-7,0.000001547278,0.00016398092,0.000001693357,0.00021186272],"genre_scores_gemma":[0.99959046,0.000032251737,0.00005787889,0.0000057349134,8.202707e-7,0.0000037743391,0.00021607113,0.0000013133866,0.00009179319],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999397,0.000012218989,0.000005208167,0.000016015365,0.000009280108,0.00001755746],"domain_scores_gemma":[0.99982053,0.000043741944,0.000056829565,0.000014654106,0.000038867733,0.000025344327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020619841,0.00016349666,0.0001703566,0.00031578384,0.00016603008,0.0003721618,0.00019014245,0.00017160297,0.00077391864],"category_scores_gemma":[0.00029584172,0.00015176782,0.00026752488,0.00067935133,0.00022023961,0.00039387398,0.00047374525,0.0001937766,0.00009434846],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002180898,0.000060568396,0.962625,0.00008829735,0.00010028987,0.0005237754,0.0024877614,0.008055329,0.016988648,0.00039221343,0.00030200442,0.008157957],"study_design_scores_gemma":[0.000003290079,0.00003430974,0.9933206,0.0000064156916,0.000015857593,0.000077087454,0.0013748676,0.0037950487,0.00084329944,0.000100363664,0.00042153816,0.000007409826],"about_ca_topic_score_codex":0.018138604,"about_ca_topic_score_gemma":0.021160783,"teacher_disagreement_score":0.018138604,"about_ca_system_score_codex":0.00056169793,"about_ca_system_score_gemma":0.0003443067,"threshold_uncertainty_score":0.036066055},"labels":[],"label_agreement":null},{"id":"W4388849892","doi":"10.1007/s10584-023-03632-y","title":"Diagnosing the ability of reservoir operations to meet hydropower production and fisheries needs under climate change in a western cordillera drainage basin","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Rio Tinto; Natural Sciences and Engineering Research Council of Canada; École de technologie supérieure","keywords":"Hydropower; Environmental science; Habitat; Climate change; Vulnerability (computing); Fishery; Structural basin; Inflow; Water resource management; Production (economics); Hydrology (agriculture); Ecology; Oceanography; Geology","score_opus":0.05587896483302281,"score_gpt":0.2893554626915723,"score_spread":0.23347649785854951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388849892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704164,0.000043489483,0.0003873866,0.00011243893,0.00000391058,0.000018632578,0.0011788096,0.000019082841,0.0011946624],"genre_scores_gemma":[0.9983183,0.000032798882,0.0005420478,0.000012352549,0.000001742448,0.00001102418,0.0008317315,0.0000032523888,0.0002467555],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996996,0.00006633003,0.000022734592,0.000071315,0.00006451209,0.00007551742],"domain_scores_gemma":[0.9988632,0.000318298,0.00032885163,0.000058573143,0.00022414977,0.00020691929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000617514,0.00031822882,0.00012915507,0.00043875622,0.00040524566,0.0007798679,0.00053806097,0.00046113046,0.0026365446],"category_scores_gemma":[0.0031586243,0.00014312455,0.00027596945,0.0006331553,0.00032600967,0.0006649997,0.0007803917,0.000330421,0.00023482215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022221485,0.00009705209,0.95500815,0.000076672666,0.0000726371,0.0002848002,0.00024698034,0.027480567,0.0017791264,0.00051638833,0.0014483547,0.012767244],"study_design_scores_gemma":[0.000025248974,0.0002204912,0.8385921,0.00006700059,0.000059982118,0.00013139025,0.0012883547,0.15533051,0.0015852961,0.00089620077,0.0017713739,0.000032051812],"about_ca_topic_score_codex":0.20121957,"about_ca_topic_score_gemma":0.3314403,"teacher_disagreement_score":0.20121957,"about_ca_system_score_codex":0.0022785738,"about_ca_system_score_gemma":0.0018252174,"threshold_uncertainty_score":0.40009665},"labels":[],"label_agreement":null},{"id":"W4388941278","doi":"10.1007/s10584-023-03634-w","title":"Future flow and water temperature scenarios in an impounded drainage basin: implications for summer flow and temperature management downstream of the dam","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact; Pacific Institute for Climate Solutions; University of Victoria; École de Technologie Supérieure; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Rio Tinto","keywords":"Environmental science; Climate change; Drainage basin; Coupled model intercomparison project; Habitat; Oncorhynchus; Hydrology (agriculture); Streamflow; Water column; Ecosystem; Climatology; Climate model; Oceanography; Ecology; Fish <Actinopterygii>; Fishery; Geography; Geology","score_opus":0.022635889933866966,"score_gpt":0.2526675897878948,"score_spread":0.2300316998540278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388941278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961073,0.000028270604,0.00056745537,0.0006490982,0.000020380154,0.000010106878,0.0010000959,0.00003106053,0.0015862306],"genre_scores_gemma":[0.9988501,0.00003173701,0.00030639837,0.000026390066,0.0000049310347,0.000010481736,0.00031474888,0.000006028002,0.00044914868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997422,0.000118459124,0.000013538968,0.00003429083,0.000024333704,0.00006717329],"domain_scores_gemma":[0.9994887,0.00016447787,0.00006362776,0.000018328954,0.00011096677,0.0001538545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007716409,0.00032038442,0.00039438214,0.00052653375,0.0008797915,0.0015302233,0.000582564,0.001210638,0.003030744],"category_scores_gemma":[0.0016503871,0.00035700502,0.0006643878,0.00075438555,0.00059936754,0.0014423927,0.000556962,0.00070300366,0.00018188296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016931874,0.00053349737,0.23316643,0.0001037294,0.00018431884,0.0010133995,0.00044094704,0.7378034,0.004653897,0.007438208,0.0043549435,0.008614039],"study_design_scores_gemma":[0.00018345228,0.00022366346,0.1643214,0.000026790143,0.00012182704,0.00008568988,0.0017695565,0.8267433,0.0011506304,0.0036327592,0.0016712238,0.000069710564],"about_ca_topic_score_codex":0.07080053,"about_ca_topic_score_gemma":0.14126347,"teacher_disagreement_score":0.07080053,"about_ca_system_score_codex":0.0029958738,"about_ca_system_score_gemma":0.0016393369,"threshold_uncertainty_score":0.14077687},"labels":[],"label_agreement":null},{"id":"W4389259707","doi":"10.1007/s10584-023-03643-9","title":"Weighting climate models for hydrological projections: effects on contrasting hydroclimatic regions","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies; Consejo Nacional de Ciencia y Tecnología","keywords":"Weighting; Streamflow; Climatology; Precipitation; Climate change; Climate model; Environmental science; Hydrograph; Meteorology; Drainage basin; Geography; Geology","score_opus":0.08426465215125915,"score_gpt":0.28572698287027154,"score_spread":0.20146233071901237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389259707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9432011,0.00024125089,0.05393391,0.00018299847,0.000042254625,0.000091960654,0.0001745333,0.00010763601,0.0020243677],"genre_scores_gemma":[0.9877927,0.00006206487,0.011790233,0.00003341549,0.0000089607975,0.000035231576,0.00013267453,0.000020600392,0.00012415348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971317,0.0021856518,0.00012989056,0.00021655914,0.00022356049,0.00011255423],"domain_scores_gemma":[0.9908732,0.006203268,0.000753122,0.00083475653,0.0010401327,0.00029542085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00933456,0.00075048883,0.00054962665,0.00071779406,0.000460298,0.0009968247,0.00085094024,0.00054020155,0.0008977683],"category_scores_gemma":[0.019588355,0.00038259596,0.0010880874,0.00083210564,0.0004318616,0.0013374666,0.0015313239,0.0008011421,0.00009720305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036654714,0.00010994737,0.031942487,0.00007540497,0.00045730194,0.00010232333,0.00013901606,0.9324033,0.0016533153,0.002839519,0.0002900603,0.029620688],"study_design_scores_gemma":[0.000052412837,0.00013150687,0.007370588,0.00002890148,0.00012881875,0.000023682764,0.00008891252,0.98762846,0.0015148782,0.0025234057,0.00048175384,0.000026713089],"about_ca_topic_score_codex":0.0059102764,"about_ca_topic_score_gemma":0.0059122597,"teacher_disagreement_score":0.00933456,"about_ca_system_score_codex":0.00076911226,"about_ca_system_score_gemma":0.0005574036,"threshold_uncertainty_score":0.049366474},"labels":[],"label_agreement":null},{"id":"W4389405983","doi":"10.1007/s10584-023-03644-8","title":"Understanding changes in the timing of heavy storms: a regional case study of climate change impacts","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Storm; Environmental science; Climate change; Flood myth; Precipitation; Climatology; Hydrology (agriculture); Physical geography; Meteorology; Geography; Geology","score_opus":0.3157011131074934,"score_gpt":0.3452153044483312,"score_spread":0.029514191340837825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389405983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935725,0.00022228247,0.0018525969,0.0008122404,0.000005004462,0.000019506731,0.0005865155,0.000025422363,0.0029039637],"genre_scores_gemma":[0.9958759,0.0003109651,0.0030469785,0.000047532212,0.000010238059,0.000008116802,0.00027034074,0.000015180143,0.0004147579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995592,0.00020926465,0.000018823439,0.00007512907,0.000050035247,0.00008752915],"domain_scores_gemma":[0.9986966,0.0007153761,0.00024139581,0.00011168625,0.00013109477,0.00010376623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362245,0.00027259323,0.0002605382,0.00084684044,0.00059656927,0.0012195017,0.00062255317,0.00089031534,0.0012271957],"category_scores_gemma":[0.0027468225,0.00017189725,0.0005771957,0.0019337869,0.0005512016,0.0011586375,0.0005342952,0.0007117185,0.00011532102],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007391577,0.0010758995,0.6666561,0.00032527698,0.0007095443,0.0075334786,0.011099166,0.19776388,0.016106585,0.011262525,0.005440112,0.081288256],"study_design_scores_gemma":[0.00007534559,0.00041119786,0.795246,0.00006618119,0.00037617257,0.00091936765,0.02960832,0.14822702,0.0039469404,0.005988896,0.015049945,0.00008452465],"about_ca_topic_score_codex":0.1161737,"about_ca_topic_score_gemma":0.18547639,"teacher_disagreement_score":0.1161737,"about_ca_system_score_codex":0.0017588825,"about_ca_system_score_gemma":0.0009911776,"threshold_uncertainty_score":0.23099494},"labels":[],"label_agreement":null},{"id":"W4389729491","doi":"10.1007/s10584-023-03662-6","title":"Co-benefits as a rationale and co-benefits as a factor for urban climate action: linking air quality and emission reductions in Moscow, Paris, and Montreal","year":2023,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Humboldt-Universität zu Berlin","keywords":"Greenhouse gas; Air quality index; Incentive; Climate change mitigation; Climate change; Natural resource economics; Collective action; Climate policy; Liability; Empirical evidence; Quality (philosophy); Business; Environmental economics; Public economics; Environmental planning; Environmental science; Economics; Political science; Finance; Geography; Politics","score_opus":0.33275239163931014,"score_gpt":0.3716823636136615,"score_spread":0.038929971974351385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389729491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9486743,0.0015154631,0.0044095074,0.005394694,0.000031558553,0.00008175587,0.0010997693,0.000039105875,0.038753882],"genre_scores_gemma":[0.99863017,0.00012201572,0.0003041842,0.000026212407,0.0000045694865,0.000011397769,0.000055051845,0.0000022802626,0.0008441331],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987962,0.0006303038,0.000022986553,0.00008851838,0.00014152066,0.00032035442],"domain_scores_gemma":[0.9980021,0.0010557118,0.00041857592,0.00007084361,0.00021465981,0.00023821187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010888117,0.00023613355,0.00033225567,0.001428541,0.0016094913,0.0028058433,0.0007318723,0.00072456716,0.005253481],"category_scores_gemma":[0.002076464,0.0001349288,0.00042827154,0.0022443805,0.0027678655,0.00082972756,0.0013927514,0.00076353236,0.00010031316],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028228157,0.00030272207,0.39578736,0.0003635073,0.00047800163,0.0024124328,0.0040143705,0.078649186,0.001801554,0.48571417,0.00826311,0.021931384],"study_design_scores_gemma":[0.00019946761,0.00021589817,0.73868877,0.0003759837,0.0005760728,0.00032346975,0.029234862,0.08258446,0.003654757,0.08347488,0.06043894,0.00023253413],"about_ca_topic_score_codex":0.6618886,"about_ca_topic_score_gemma":0.7544386,"teacher_disagreement_score":0.3381114,"about_ca_system_score_codex":0.02447807,"about_ca_system_score_gemma":0.0077332547,"threshold_uncertainty_score":0.6802052},"labels":[],"label_agreement":null},{"id":"W4390584175","doi":"10.1007/s10584-023-03675-1","title":"Habitability of low-lying socio-ecological systems under a changing climate","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Sight Research UK; Agence Française de Développement; International Atomic Energy Agency; Institut de Recherche pour le Développement; Agence Nationale de la Recherche; Prince Albert II of Monaco Foundation; UK Research and Innovation","keywords":"Habitability; Climate change; Planetary boundaries; Subsistence agriculture; Framing (construction); Livelihood; Environmental resource management; Geography; Tipping point (physics); Environmental planning; Natural resource economics; Ecology; Environmental science; Agriculture; Sustainability; Economics","score_opus":0.23851873780938285,"score_gpt":0.3719597466775392,"score_spread":0.13344100886815638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390584175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618587,0.00012320696,0.009257251,0.0013093794,0.000018415009,0.0000372516,0.000078409576,0.00002238049,0.027294964],"genre_scores_gemma":[0.9994925,0.000018886554,0.00027219902,0.00002010028,0.00000286569,0.000005203505,0.000014862731,0.0000013671774,0.0001719989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99838436,0.0009209716,0.000064217114,0.00018712724,0.00021018907,0.00023310939],"domain_scores_gemma":[0.9975744,0.00071576715,0.0006835016,0.0003874657,0.00032243202,0.00031641946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021662547,0.00021171654,0.00018626821,0.0011130064,0.0018501054,0.003081705,0.00062716624,0.00062602473,0.0027071277],"category_scores_gemma":[0.0037696536,0.00010027721,0.00026731964,0.00091810396,0.007973091,0.002424838,0.004513667,0.00086772797,0.00011862282],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001539644,0.00013841629,0.29976827,0.00018360469,0.00009658416,0.0011664621,0.2298313,0.008053524,0.0037632317,0.4084471,0.0011698147,0.047227688],"study_design_scores_gemma":[0.00001224657,0.00023696136,0.4037515,0.00024578103,0.000038546368,0.0004868532,0.24955566,0.011883307,0.001248741,0.29910275,0.033320807,0.00011688775],"about_ca_topic_score_codex":0.008012585,"about_ca_topic_score_gemma":0.008305455,"teacher_disagreement_score":0.008012585,"about_ca_system_score_codex":0.0022262882,"about_ca_system_score_gemma":0.00070767134,"threshold_uncertainty_score":0.016152978},"labels":[],"label_agreement":null},{"id":"W4391142047","doi":"10.1007/s10584-024-03683-9","title":"Climatic effects of the Williston Reservoir on Tsay Keh Dene Nation Territory of northern British Columbia, Canada","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia","funders":"Crown-Indigenous Relations and Northern Affairs Canada; Mitacs","keywords":"Environmental protection; Geography","score_opus":0.00926017631431876,"score_gpt":0.18511975421016028,"score_spread":0.1758595778958415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391142047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98918813,0.0002468513,0.000042497886,0.00038574857,0.000014264921,0.000021574255,0.0027229807,0.00001886793,0.0073590977],"genre_scores_gemma":[0.99540967,0.00023090391,0.00007740813,0.000047764504,0.0000039012684,0.000010864828,0.0008560042,0.0000075711914,0.0033559257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961865,0.00004916877,0.000016054808,0.000044734104,0.00009958011,0.00017172343],"domain_scores_gemma":[0.99887353,0.00009478642,0.000109779925,0.00003473893,0.00055426086,0.00033281685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031327546,0.00018665276,0.00039675535,0.0015025117,0.0033739354,0.0017526636,0.0008418166,0.00046762993,0.004669438],"category_scores_gemma":[0.0012011023,0.00029233503,0.00030768558,0.0030089153,0.0009644814,0.0004109124,0.001213896,0.00057245436,0.00035332268],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031262037,0.00013542073,0.96904606,0.00011238877,0.00020166124,0.0011629803,0.0037243243,0.0024574795,0.0027213225,0.00075788953,0.0086742,0.010693666],"study_design_scores_gemma":[0.0000048460615,0.00000496979,0.99546,0.0000129625505,0.000009594919,0.000039127946,0.0024376549,0.00041325125,0.00005730068,0.000022724289,0.0015278053,0.000009671574],"about_ca_topic_score_codex":0.99177307,"about_ca_topic_score_gemma":0.99826235,"teacher_disagreement_score":0.016570512,"about_ca_system_score_codex":0.016570512,"about_ca_system_score_gemma":0.018767254,"threshold_uncertainty_score":0.12022799},"labels":[],"label_agreement":null},{"id":"W4391596178","doi":"10.1007/s10584-024-03679-5","title":"Perceived naturalness predicts public support for sustainable protein technology","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Naturalness; Natural resource economics; Business; Psychology; Environmental science; Environmental resource management; Environmental economics; Economics; Physics; Particle physics","score_opus":0.12534814602826586,"score_gpt":0.41409642607315694,"score_spread":0.28874828004489106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391596178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961028,0.000054680128,0.00007791687,0.0005852656,0.000011737555,0.0000068949757,0.000027331447,0.0000035361882,0.0031298448],"genre_scores_gemma":[0.99953425,0.00004728413,0.00005149873,0.00008512856,0.000011017017,0.00000448695,0.00002947626,0.000001139148,0.00023578005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993814,0.0002952702,0.000022639722,0.000048555594,0.000106670064,0.00014551786],"domain_scores_gemma":[0.98965293,0.004168583,0.0031501635,0.00049306435,0.0005397925,0.0019955277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013724621,0.00015146798,0.0001374322,0.00046996595,0.0006045843,0.00097542844,0.00021446055,0.00094503775,0.0051222662],"category_scores_gemma":[0.0069120494,0.00019048016,0.0002910291,0.00031802987,0.0008199286,0.0004196509,0.000580817,0.0014018187,0.00037791106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021335453,0.0026306065,0.98677075,0.000024716926,0.00013227639,0.000058031324,0.0009613063,0.00023830925,0.0005841375,0.00034308253,0.00046074254,0.0075827027],"study_design_scores_gemma":[0.000010646393,0.000117982636,0.99789786,0.000008385341,0.000016687267,0.000017457976,0.0009952802,0.0003268176,0.00008322843,0.00021335819,0.00030843064,0.0000038205603],"about_ca_topic_score_codex":0.005038568,"about_ca_topic_score_gemma":0.011062458,"teacher_disagreement_score":0.0051222662,"about_ca_system_score_codex":0.00047955773,"about_ca_system_score_gemma":0.00054283574,"threshold_uncertainty_score":0.01713574},"labels":[],"label_agreement":null},{"id":"W4391825177","doi":"10.1007/s10584-024-03682-w","title":"There is no word for ‘nature’ in our language: rethinking nature-based solutions from the perspective of Indigenous Peoples located in Canada","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Environmental Philosophy and Ethics","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Assembly of First Nations; York University","funders":"University of Guelph","keywords":"Indigenous; Traditional knowledge; Environmental ethics; Climate justice; Sociology; Climate change; Political science; Ecology","score_opus":0.03081064263399112,"score_gpt":0.27369438398805784,"score_spread":0.24288374135406673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391825177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8951905,0.0036433395,0.0021041948,0.050416052,0.0004889874,0.00018811609,0.00017599047,0.00004054542,0.0477523],"genre_scores_gemma":[0.9868079,0.0014172286,0.0009436605,0.00417478,0.000034329427,0.000045112098,0.000036310244,0.000039969847,0.006500716],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99161434,0.003409113,0.00014730633,0.0006059191,0.0012014809,0.0030218568],"domain_scores_gemma":[0.99076545,0.0037754946,0.00050095684,0.00025930227,0.0023198142,0.0023791012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009175126,0.000836946,0.00090852915,0.0022584049,0.06316052,0.01371474,0.004239616,0.0037897988,0.0033692294],"category_scores_gemma":[0.009051482,0.00051394646,0.00049905246,0.0034866552,0.040985316,0.0056696204,0.010154601,0.009742579,0.0002584003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006262766,0.000009536799,0.00090048433,0.000035721536,0.000002348788,0.00032791976,0.99229914,0.000031525946,0.0002242262,0.0035371052,0.0009793611,0.001646425],"study_design_scores_gemma":[7.1102187e-7,0.0000037759405,0.00052690593,0.000053390326,0.0000023451273,0.000022785585,0.98973453,0.000035759895,0.00004013192,0.0003079609,0.009262284,0.000009425462],"about_ca_topic_score_codex":0.97643346,"about_ca_topic_score_gemma":0.9878806,"teacher_disagreement_score":0.12754455,"about_ca_system_score_codex":0.12754455,"about_ca_system_score_gemma":0.1512792,"threshold_uncertainty_score":0.92540485},"labels":[],"label_agreement":null},{"id":"W4392242328","doi":"10.1007/s10584-024-03698-2","title":"The evolution of “riskscapes”: 100 years of climate change and mountaineering activity in the Lake Louise area of the Canadian Rockies","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mountaineering; Climate change; Geography; Physical geography; Climbing; Geology; Archaeology; Oceanography","score_opus":0.05351689686992802,"score_gpt":0.23565199864983066,"score_spread":0.18213510177990264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392242328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978073,0.0001601871,0.000077159064,0.00025037807,0.0000030173894,0.0000020829013,0.0008124134,0.000008976402,0.00087847485],"genre_scores_gemma":[0.99928373,0.000041080108,0.00002537153,0.0000142153585,0.000002033852,0.0000011825243,0.00038387987,0.0000021264887,0.0002463855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971586,0.000047949732,0.000018194823,0.000058451533,0.000064142594,0.000095399984],"domain_scores_gemma":[0.99828774,0.00039200444,0.0005334672,0.00008277357,0.00038575163,0.00031821933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008250735,0.00017965623,0.00016130753,0.0013402285,0.000840295,0.0014456827,0.0006959133,0.0009585224,0.0012238759],"category_scores_gemma":[0.0031626069,0.0002512917,0.0003729236,0.0017061098,0.00094810576,0.0008283727,0.0009364242,0.00066101324,0.00013338019],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011659678,0.000024654308,0.9916244,0.00001768708,0.00022179313,0.00007225381,0.0010202683,0.002297676,0.00045713678,0.00055485655,0.0007093733,0.0028831984],"study_design_scores_gemma":[0.0000014793422,0.000007839883,0.9977719,0.0000040601044,0.000013293653,0.000026964472,0.00063307263,0.00095040124,0.000044554225,0.00007493189,0.00046352643,0.000008006796],"about_ca_topic_score_codex":0.7170645,"about_ca_topic_score_gemma":0.8674584,"teacher_disagreement_score":0.2829355,"about_ca_system_score_codex":0.0037140786,"about_ca_system_score_gemma":0.002395893,"threshold_uncertainty_score":0.5692035},"labels":[],"label_agreement":null},{"id":"W4392242992","doi":"10.1007/s10584-024-03707-4","title":"Municipal perspectives on managed retreat and flood mitigation: A case analysis of Merritt, Canada after the 2021 British Columbia flood disaster","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Institute for Catastrophic Loss Reduction","keywords":"Flood myth; Geography; Environmental science; Water resource management; Archaeology","score_opus":0.01690211419925611,"score_gpt":0.26752498856005924,"score_spread":0.2506228743608031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392242992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92329186,0.0014036321,0.0003215493,0.015941955,0.0000718172,0.0001038774,0.0002179463,0.000013824877,0.05863359],"genre_scores_gemma":[0.98886395,0.00092929753,0.0002375158,0.0008518082,0.000012885909,0.000024762201,0.00005861484,0.000010572493,0.009010687],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9966827,0.0005947596,0.000053974643,0.00008517877,0.00047025137,0.002113189],"domain_scores_gemma":[0.99724567,0.00052850763,0.0003184989,0.00007321933,0.0008685216,0.00096559466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016367058,0.00031546006,0.00035336617,0.0016375311,0.024378615,0.00701703,0.0020570005,0.0027782696,0.00463302],"category_scores_gemma":[0.0044104797,0.00032958947,0.0004312739,0.004456126,0.00525227,0.0011999718,0.0042656166,0.003247204,0.0001447606],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044541646,0.00047562792,0.21983789,0.0004989322,0.00022520273,0.03485964,0.47261372,0.008621496,0.0026716618,0.13142376,0.05062716,0.07769952],"study_design_scores_gemma":[0.000018095756,0.00005098628,0.08909605,0.00024969634,0.00006150976,0.0007127185,0.8278245,0.0013216936,0.00028842836,0.0015697649,0.07874689,0.0000597248],"about_ca_topic_score_codex":0.9899519,"about_ca_topic_score_gemma":0.9978734,"teacher_disagreement_score":0.10146413,"about_ca_system_score_codex":0.10146413,"about_ca_system_score_gemma":0.12338871,"threshold_uncertainty_score":0.7361772},"labels":[],"label_agreement":null},{"id":"W4393157683","doi":"10.1007/s10584-024-03705-6","title":"A survey of interventions to actively conserve the frozen North","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lapin Yliopisto; Government of Canada","keywords":"Psychological intervention; Environmental science; Environmental planning; Environmental resource management; Geography; Psychology","score_opus":0.22637979357255106,"score_gpt":0.3202753719984379,"score_spread":0.09389557842588686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393157683","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14050855,0.7971645,0.0057107382,0.02169866,0.001680193,0.009587317,0.0031368323,0.00023560863,0.020277634],"genre_scores_gemma":[0.4078522,0.55807453,0.016598353,0.00726452,0.00019876339,0.0077769305,0.0011038167,0.00005324432,0.0010776599],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9655898,0.021139503,0.0062724086,0.0010958558,0.0050062514,0.00089611957],"domain_scores_gemma":[0.9052183,0.07459169,0.009150569,0.0011164284,0.008443675,0.0014793298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.037286084,0.0006402285,0.0019833434,0.005265533,0.0007461562,0.002772831,0.0016253067,0.0017529457,0.005474184],"category_scores_gemma":[0.10752407,0.0006107218,0.0020375203,0.0044939853,0.0010878294,0.0030427494,0.0023812368,0.002317675,0.00045541924],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010056165,0.00062232284,0.004548869,0.37703604,0.0018076532,0.00012931651,0.006884418,0.00046221842,0.0006795788,0.0033908049,0.00779174,0.59564143],"study_design_scores_gemma":[0.0013994711,0.0037439894,0.031737205,0.7945909,0.006173531,0.00024785878,0.014684755,0.00052203424,0.0012746922,0.00202441,0.14346075,0.00014048017],"about_ca_topic_score_codex":0.0036021771,"about_ca_topic_score_gemma":0.0064422362,"teacher_disagreement_score":0.037286084,"about_ca_system_score_codex":0.0049663107,"about_ca_system_score_gemma":0.01382713,"threshold_uncertainty_score":0.19719005},"labels":[],"label_agreement":null},{"id":"W4394691829","doi":"10.1007/s10584-024-03718-1","title":"Global warming determines future increase in compound dry and hot days within wheat growing seasons worldwide","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; China Meteorological Administration; National Natural Science Foundation of China","keywords":"Global warming; Environmental science; Global-warming potential; Climate change; Agronomy; Biology; Greenhouse gas; Ecology","score_opus":0.04656626007328655,"score_gpt":0.274503015486339,"score_spread":0.22793675541305244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394691829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916088,0.000403876,0.0015139293,0.00034016452,0.000040957722,0.000008670142,0.003912749,0.000061510276,0.0021093064],"genre_scores_gemma":[0.997546,0.00017951528,0.00041400493,0.00005533519,0.000017629352,0.000006791376,0.0015762078,0.000009881186,0.00019463986],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999889,0.00001900151,0.000009411184,0.000041521085,0.000019015884,0.000021934457],"domain_scores_gemma":[0.99979943,0.000026977992,0.00006815289,0.000018983994,0.000058503883,0.00002798934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000283767,0.00023084875,0.00015331981,0.00044530927,0.00018394076,0.00049246085,0.00013372787,0.00027339254,0.0015135745],"category_scores_gemma":[0.00043577197,0.00010484508,0.00047895106,0.00073889596,0.00017611463,0.0004451348,0.00040259233,0.00022520153,0.00018216728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022061302,0.00003569421,0.9375626,0.00013944882,0.0002924036,0.0002721325,0.0003399665,0.020928714,0.012548173,0.00096703647,0.0044367425,0.022256346],"study_design_scores_gemma":[0.0000081913795,0.000028351025,0.98014015,0.000021453749,0.00007613722,0.00006895133,0.0004342092,0.013649149,0.0011000463,0.0004465516,0.004008782,0.000018101844],"about_ca_topic_score_codex":0.01495448,"about_ca_topic_score_gemma":0.019109001,"teacher_disagreement_score":0.01495448,"about_ca_system_score_codex":0.00042218616,"about_ca_system_score_gemma":0.0002644662,"threshold_uncertainty_score":0.02973485},"labels":[],"label_agreement":null},{"id":"W4396219520","doi":"10.1007/s10584-024-03713-6","title":"Beach day or deadly heatwave? Content analysis of media images from the 2021 Heat Dome in Canada","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ottawa Hospital; University of Waterloo; University of Ottawa; Health Canada","funders":"Health Canada; University of Ottawa","keywords":"Dome (geology); Environmental science; Physical geography; Meteorology; Geography; Geology; Paleontology","score_opus":0.5927097112005902,"score_gpt":0.4328923288569054,"score_spread":0.15981738234368487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396219520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.902299,0.017056378,0.0008600547,0.005900391,0.0006034442,0.0004969961,0.029646086,0.000106628,0.043031145],"genre_scores_gemma":[0.95859593,0.019361285,0.0020608262,0.0018798533,0.00029695415,0.00030333042,0.009756658,0.00010905388,0.007635959],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99816895,0.00028352483,0.00015437545,0.00015030013,0.0009985797,0.00024429575],"domain_scores_gemma":[0.9748136,0.01088066,0.003673331,0.00037865483,0.009159788,0.0010941079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002488933,0.0004789159,0.00044162007,0.013953048,0.0036795978,0.005784732,0.0007419473,0.0006323939,0.00426051],"category_scores_gemma":[0.021446265,0.00021270718,0.000383856,0.018719722,0.0021524152,0.0016876928,0.0015084731,0.0009465989,0.00038063075],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014050055,0.00014929379,0.22351451,0.019231558,0.00032950126,0.0040593194,0.45677742,0.00035415622,0.005168276,0.005157129,0.09542084,0.18843302],"study_design_scores_gemma":[0.000044650616,0.00009037996,0.4216903,0.0074550146,0.00057186594,0.00073340785,0.31026545,0.00079716044,0.0026332613,0.0004233673,0.25509712,0.00019808387],"about_ca_topic_score_codex":0.86342347,"about_ca_topic_score_gemma":0.91730154,"teacher_disagreement_score":0.13657653,"about_ca_system_score_codex":0.021885278,"about_ca_system_score_gemma":0.027229508,"threshold_uncertainty_score":0.27476168},"labels":[],"label_agreement":null},{"id":"W4397010310","doi":"10.1007/s10584-024-03730-5","title":"The Climate Establishment and the Paris partnerships","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ministry of the Environment, Conservation and Parks","funders":"Social Sciences and Humanities Research Council; Brown University","keywords":"Climatology; Geography; Environmental science; Meteorology; Political science; Geology","score_opus":0.21178111365639338,"score_gpt":0.2788687637959214,"score_spread":0.06708765013952803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397010310","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09070373,0.01022497,0.006545747,0.16638713,0.0020608543,0.000087660796,0.0005926493,0.0003110091,0.72308624],"genre_scores_gemma":[0.8755494,0.0018079805,0.0010676819,0.0045189555,0.00068855064,0.00006216074,0.00014120685,0.000057802095,0.11610626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99493885,0.0021594432,0.000072862036,0.00039801816,0.00076430634,0.0016665155],"domain_scores_gemma":[0.99207336,0.0028076859,0.0008982388,0.00068697374,0.0009826599,0.0025511456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050394954,0.0003991794,0.00037140914,0.0013013125,0.004299921,0.010910635,0.0009741088,0.003491045,0.03143182],"category_scores_gemma":[0.013703431,0.0003528072,0.00044978983,0.0020983927,0.0034188854,0.004254478,0.0043155896,0.004724455,0.0015548037],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011693244,0.000038015263,0.0021809968,0.000028601986,0.000022697222,0.00022140521,0.0006037065,0.0015419907,0.00004662665,0.9403613,0.036280595,0.018557135],"study_design_scores_gemma":[0.00021599184,0.00015627182,0.01409436,0.00024483405,0.00003735549,0.00025969298,0.0044451137,0.0040764445,0.00039135918,0.25731787,0.7186747,0.00008599374],"about_ca_topic_score_codex":0.059950247,"about_ca_topic_score_gemma":0.08395008,"teacher_disagreement_score":0.059950247,"about_ca_system_score_codex":0.016937463,"about_ca_system_score_gemma":0.012611076,"threshold_uncertainty_score":0.12289047},"labels":[],"label_agreement":null},{"id":"W4399181312","doi":"10.1007/s10584-024-03755-w","title":"Farmer field schools, climate action plans and climate change resilience among smallholder farmers in Northern Ghana","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Western University","funders":"","keywords":"Resilience (materials science); Climate change; Psychological resilience; Action (physics); Climate resilience; Environmental resource management; Natural resource economics; Business; Geography; Agroforestry; Agricultural economics; Environmental science; Economics; Ecology","score_opus":0.07912403962908553,"score_gpt":0.28398297504675624,"score_spread":0.2048589354176707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399181312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994067,0.00003704959,0.000010233511,0.00019289507,0.0000014672709,0.000005193718,0.000020279675,4.069645e-7,0.00032579448],"genre_scores_gemma":[0.99965906,0.00003432296,0.000012159571,0.000022381902,9.723209e-7,0.00000470036,0.000009377944,2.6035192e-7,0.00025678615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996588,0.00011555914,0.000012789773,0.00003854711,0.000021576992,0.00015274523],"domain_scores_gemma":[0.9974502,0.0006482955,0.00096626533,0.00005103988,0.00016355253,0.00072079466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058148336,0.00013352973,0.00020048927,0.0004487173,0.0016162451,0.0006748552,0.00036690317,0.00042366926,0.0054125134],"category_scores_gemma":[0.002705075,0.00019775571,0.00010238798,0.00092547876,0.0009262485,0.00096245646,0.0007374342,0.00063819526,0.00019500659],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014802281,0.00041076198,0.96628886,0.00004061786,0.00001602881,0.0006514597,0.024748163,0.00013468933,0.00034898138,0.0005866997,0.0005270188,0.0060986644],"study_design_scores_gemma":[0.000019373581,0.00015288503,0.88424456,0.000060171784,0.000015278642,0.00010529643,0.11366669,0.00020050604,0.00008326083,0.00025618688,0.001188278,0.0000074594564],"about_ca_topic_score_codex":0.13991506,"about_ca_topic_score_gemma":0.30459398,"teacher_disagreement_score":0.13991506,"about_ca_system_score_codex":0.0023129818,"about_ca_system_score_gemma":0.0030587048,"threshold_uncertainty_score":0.27820128},"labels":[],"label_agreement":null},{"id":"W4399578335","doi":"10.1007/s10584-024-03757-8","title":"“I start to doubt whether any of my actions will matter”: youth activists’ experiences and expressions of the emotions associated with climate change","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of Manitoba; NSCAD University; University of Winnipeg; Dalhousie University","funders":"","keywords":"Grounded theory; Photovoice; Climate change; Modalities; Action (physics); Psychology; Social psychology; Qualitative research; Sociology; Social science; Ecology","score_opus":0.647760699337449,"score_gpt":0.5667548895277597,"score_spread":0.0810058098096893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399578335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846059,0.0007357318,0.0015530855,0.0018463848,0.00015385242,0.000033729597,0.00004998512,0.000039506805,0.010981709],"genre_scores_gemma":[0.99742633,0.00027647897,0.0003306244,0.00029538924,0.000021597674,0.000031701384,0.00001713544,0.000014330174,0.0015862467],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9966537,0.0021646512,0.00007330816,0.0001859779,0.00030124327,0.0006211434],"domain_scores_gemma":[0.9979195,0.0011122889,0.00033514286,0.00008054405,0.00019392234,0.00035870288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038392087,0.0004189105,0.00045774947,0.0005876827,0.0048913416,0.0043596798,0.000584668,0.0014471291,0.0026625874],"category_scores_gemma":[0.0045571714,0.00030199235,0.0004890768,0.0003901394,0.0062111444,0.0018795184,0.0038680222,0.002601089,0.00043349282],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007564865,0.000043177974,0.012829192,0.00009912581,0.000019248275,0.0008720581,0.97415245,0.000047722333,0.0018343115,0.0022618324,0.0015658062,0.0061994097],"study_design_scores_gemma":[0.000009480202,0.0000982628,0.011620113,0.00018903223,0.00002906236,0.0008059324,0.95956725,0.00015683868,0.00087607116,0.0007172327,0.025906015,0.000024709212],"about_ca_topic_score_codex":0.003531502,"about_ca_topic_score_gemma":0.006277959,"teacher_disagreement_score":0.0048913416,"about_ca_system_score_codex":0.001188159,"about_ca_system_score_gemma":0.00088021613,"threshold_uncertainty_score":0.020303905},"labels":[],"label_agreement":null},{"id":"W4400132615","doi":"10.1007/s10584-024-03772-9","title":"From many futures to one: climate-informed planning scenario analysis for resource-efficient deep climate uncertainty analysis","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Futures contract; Environmental science; Scenario analysis; Climate change; Climatology; Climate model; Resource (disambiguation); Environmental resource management; Natural resource economics; Computer science; Economics; Geology; Financial economics","score_opus":0.20122578725721557,"score_gpt":0.41866303444194386,"score_spread":0.2174372471847283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400132615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15274945,0.0017071948,0.8129681,0.00630792,0.00023855906,0.00015075895,0.002128174,0.00047382753,0.02327594],"genre_scores_gemma":[0.8911244,0.0007052897,0.1051674,0.00023229801,0.00007267486,0.00016334014,0.0005158802,0.00010109149,0.0019175921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990515,0.000646655,0.000031380172,0.00008237148,0.00012503455,0.00006309669],"domain_scores_gemma":[0.99676067,0.00253737,0.00016186333,0.00016776925,0.00021106249,0.00016132859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029998801,0.0009334179,0.0010223619,0.0010481242,0.000620548,0.002348986,0.001375107,0.0014155816,0.005220616],"category_scores_gemma":[0.010046192,0.0008433838,0.0009509922,0.0014358049,0.0010654731,0.0037835808,0.002204796,0.0020637969,0.0002226249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035871173,0.000018764138,0.00029910225,0.00002632495,0.00003068274,0.000039958682,0.00002985438,0.9707828,0.00007283137,0.021701062,0.000573547,0.006389156],"study_design_scores_gemma":[0.000006237971,0.000008986182,0.000078357916,0.000012154629,0.0000094350125,0.0000071172367,0.000023512644,0.9404638,0.000054675256,0.058830187,0.00049623486,0.000009340258],"about_ca_topic_score_codex":0.013168963,"about_ca_topic_score_gemma":0.015419861,"teacher_disagreement_score":0.013168963,"about_ca_system_score_codex":0.0019250967,"about_ca_system_score_gemma":0.0023268235,"threshold_uncertainty_score":0.026184618},"labels":[],"label_agreement":null},{"id":"W4401755356","doi":"10.1007/s10584-024-03792-5","title":"Correction to: Projections of North American snow from NA-CORDEX and their uncertainties, with a focus on model resolution","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos","funders":"","keywords":"Snow; Focus (optics); Resolution (logic); Climatology; Environmental science; Meteorology; Geography; Geology; Computer science; Artificial intelligence; Physics","score_opus":0.04925678319292029,"score_gpt":0.23683439663101186,"score_spread":0.18757761343809157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401755356","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013792603,0.0024961755,0.014061295,0.025498325,0.72783804,0.00034981643,0.1779603,0.01726386,0.020739552],"genre_scores_gemma":[0.22921395,0.004095175,0.07786027,0.0095938975,0.04069965,0.0015516212,0.22480926,0.019071395,0.39310476],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985493,0.0001237053,0.00020999034,0.0003539232,0.0005222955,0.0002408139],"domain_scores_gemma":[0.98750454,0.0011846747,0.00069997803,0.0013059807,0.008728303,0.0005764986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013983333,0.0025262919,0.001998342,0.004419503,0.0021548583,0.0033018903,0.0031207989,0.0030842682,0.1689622],"category_scores_gemma":[0.021007063,0.001322222,0.0015384107,0.0068980088,0.000740451,0.002455651,0.0023204708,0.003987105,0.060449667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117448115,0.000023286828,0.0008290669,0.00031932222,0.000058349502,0.000080834834,0.000049776358,0.0014364624,0.00039217417,0.0011302602,0.9786477,0.01691532],"study_design_scores_gemma":[0.000424486,0.00003561792,0.027334502,0.00037807965,0.00009079711,0.00030165855,0.00032005238,0.009731758,0.0027561642,0.0035478754,0.95495486,0.00012434353],"about_ca_topic_score_codex":0.051777612,"about_ca_topic_score_gemma":0.07451918,"teacher_disagreement_score":0.9482224,"about_ca_system_score_codex":0.0029501265,"about_ca_system_score_gemma":0.0049752374,"threshold_uncertainty_score":0.56523484},"labels":[],"label_agreement":null},{"id":"W4403185480","doi":"10.1007/s10584-024-03807-1","title":"Association of youth climate change worry with present and past mental health symptoms: a longitudinal population-based study","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Psychological and Temporal Perspectives Research","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; McGill University; Douglas Mental Health University Institute","funders":"Universitetet i Oslo; Fonds de Recherche du Québec-Société et Culture; Ministère de la Santé; Fonds de Recherche du Québec - Santé; Ministère de la Santé et des Services sociaux","keywords":"Worry; Anxiety; Mental health; Population; Psychology; Demography; Depression (economics); Psychiatry; Clinical psychology; Medicine","score_opus":0.14057199507417625,"score_gpt":0.411009800655687,"score_spread":0.27043780558151076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403185480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99805874,0.0001409003,0.00009993405,0.00004945245,0.0000067728697,0.000036860296,0.0012339902,0.000005214935,0.0003680373],"genre_scores_gemma":[0.9985274,0.00009105985,0.00012381293,0.000044216,0.000005141024,0.000032212218,0.0009221978,0.0000023282926,0.00025157759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992471,0.00016169676,0.00005180061,0.00014978772,0.00018686379,0.00020280275],"domain_scores_gemma":[0.9986809,0.000098019795,0.00036615675,0.00011887346,0.0003702924,0.0003657969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012462094,0.0003748469,0.00037902902,0.0010498086,0.0015774282,0.0010871685,0.00081948214,0.0007288314,0.0014845005],"category_scores_gemma":[0.0015726613,0.00047808394,0.0008026371,0.0015823435,0.0004786019,0.0005899843,0.0007326367,0.0012650761,0.0003050853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026708098,0.000048491984,0.99914646,0.000003752418,0.00004746766,0.000020128977,0.0001496042,0.000011422078,0.000059944115,0.000006617391,0.00010318098,0.00037619346],"study_design_scores_gemma":[0.000002007116,0.000028935583,0.9995739,0.0000033899184,0.000010553337,0.000020241445,0.00023498978,0.00003952574,0.000008272012,0.0000037139052,0.000072377974,0.000002201136],"about_ca_topic_score_codex":0.5114523,"about_ca_topic_score_gemma":0.58360976,"teacher_disagreement_score":0.5114523,"about_ca_system_score_codex":0.0023490186,"about_ca_system_score_gemma":0.0017726675,"threshold_uncertainty_score":0.98284966},"labels":[],"label_agreement":null},{"id":"W4404824249","doi":"10.1007/s10584-024-03830-2","title":"Increasing warm-season evaporation rates across European lakes under climate change","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Global Water Futures; Natural Environment Research Council; UK Research and Innovation; Deutsche Forschungsgemeinschaft; Ministry of Business, Innovation and Employment; Higher Education Authority; Sight Research UK","keywords":"Climate change; Environmental science; Evaporation; Atmospheric sciences; Climatology; Oceanography; Meteorology; Geography; Geology","score_opus":0.06561344143202136,"score_gpt":0.3089011562410651,"score_spread":0.24328771480904376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404824249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977718,0.00012979953,0.0011366593,0.000070555514,0.0000038254766,0.0000034059005,0.00039300346,0.000034627323,0.00045644297],"genre_scores_gemma":[0.9991505,0.000064522545,0.00038118561,0.0000122047,0.0000026830019,0.0000032543737,0.00031403685,0.000004877648,0.00006670779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977833,0.000060921026,0.000022378552,0.000064532185,0.000039230363,0.000034632823],"domain_scores_gemma":[0.99966455,0.000080673046,0.00010123146,0.000037466754,0.0000893034,0.000026841784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068849814,0.00026540257,0.00025940395,0.00050618197,0.00024458958,0.0009111605,0.00026590278,0.00045379502,0.00058076443],"category_scores_gemma":[0.0009753793,0.00016725229,0.0007377881,0.00069554424,0.00022144572,0.00085147313,0.0006331426,0.00019547832,0.00006147049],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033435988,0.00006883344,0.7624111,0.00013817215,0.00088818325,0.00051542086,0.00042141354,0.19915622,0.01407023,0.0010934586,0.0009063456,0.019996284],"study_design_scores_gemma":[0.000032343636,0.00008788248,0.8472955,0.000028140863,0.00018988627,0.00016402347,0.0003216627,0.14446203,0.005124165,0.00053149083,0.0017085341,0.00005423905],"about_ca_topic_score_codex":0.018931122,"about_ca_topic_score_gemma":0.015778821,"teacher_disagreement_score":0.018931122,"about_ca_system_score_codex":0.000532651,"about_ca_system_score_gemma":0.00039588058,"threshold_uncertainty_score":0.037641883},"labels":[],"label_agreement":null},{"id":"W4405108786","doi":"10.1007/s10584-024-03833-z","title":"Thermal exposure risk in different life stages of Chinook salmon in the Nechako River system, British Columbia","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; University of British Columbia; École de Technologie Supérieure; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Rio Tinto","keywords":"Chinook wind; Climate change; Environmental science; Juvenile; Oncorhynchus; Fishery; Geography; Ecology; Fish <Actinopterygii>; Biology","score_opus":0.01624623411812366,"score_gpt":0.2124668822048722,"score_spread":0.19622064808674855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405108786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995913,0.000036480888,0.000010575749,0.00001724307,8.811792e-7,0.000002096231,0.00012789392,6.868103e-7,0.00021299222],"genre_scores_gemma":[0.9994677,0.000038434104,0.000015534735,0.00001173683,5.805535e-7,0.0000038021544,0.00013610462,7.846645e-7,0.00032531106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997559,0.00004299453,0.000016876735,0.00004566089,0.000038550705,0.00010003451],"domain_scores_gemma":[0.9994473,0.00005387634,0.000114542156,0.000019273473,0.0001433232,0.0002216924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002502292,0.00016379845,0.00019602278,0.0006349661,0.0011752123,0.0006843745,0.00046982104,0.0003802233,0.0010845264],"category_scores_gemma":[0.0006461081,0.00023877197,0.0002638655,0.0012522778,0.0006187715,0.00023089143,0.00063451665,0.00045530224,0.000118091026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080609745,0.000023261458,0.9971411,0.0000061818155,0.000032250337,0.00005299605,0.0008332115,0.000084584455,0.00036873095,0.000026917143,0.00013982068,0.0012103183],"study_design_scores_gemma":[9.086519e-7,0.000006870187,0.9991467,0.0000020711266,0.000003469308,0.000011065551,0.00072690943,0.000041667823,0.00001326732,0.0000041315047,0.000041479303,0.0000014405598],"about_ca_topic_score_codex":0.8991293,"about_ca_topic_score_gemma":0.97208697,"teacher_disagreement_score":0.10087073,"about_ca_system_score_codex":0.004326099,"about_ca_system_score_gemma":0.0026785783,"threshold_uncertainty_score":0.2029295},"labels":[],"label_agreement":null},{"id":"W4405109002","doi":"10.1007/s10584-024-03827-x","title":"The IPCC in the hybrid public sphere: divergent responses to climate mitigation solutions in mainstream and social media","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Institute at Brown for Environment and Society, Brown University; Brown University","keywords":"Mainstream; Climate change; Social media; Countermovement; Political science; Action (physics); Quarter (Canadian coin); Public relations; Sociology; History; Law","score_opus":0.5186868484097293,"score_gpt":0.4349717100158513,"score_spread":0.08371513839387806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405109002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7463495,0.012494138,0.0037087584,0.06597457,0.0033100138,0.00023745098,0.0013820303,0.000099950135,0.16644351],"genre_scores_gemma":[0.98256826,0.0034520805,0.00091855,0.0075354646,0.0012368277,0.00014422857,0.00030729466,0.00017525643,0.0036619408],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9747216,0.013079462,0.0012297608,0.0020225004,0.0071744453,0.0017722578],"domain_scores_gemma":[0.894015,0.080208205,0.007765988,0.0033379507,0.012037251,0.0026356077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025118778,0.0006117579,0.0006060982,0.008672017,0.005643048,0.016349182,0.0011725577,0.0030869201,0.006334709],"category_scores_gemma":[0.07092503,0.00036841925,0.00043870084,0.0090006385,0.011318913,0.0120302765,0.01018866,0.0038422155,0.00081250054],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005448979,0.00013144469,0.04754587,0.0039799903,0.0002271427,0.0020345964,0.74526936,0.0003357102,0.00541892,0.06839577,0.023564067,0.10255222],"study_design_scores_gemma":[0.000038545728,0.00013033934,0.06237466,0.0032063306,0.00016332789,0.0003826621,0.66829216,0.00076963054,0.0025000153,0.015501116,0.24649578,0.00014541845],"about_ca_topic_score_codex":0.006047336,"about_ca_topic_score_gemma":0.0062236423,"teacher_disagreement_score":0.025118778,"about_ca_system_score_codex":0.004896327,"about_ca_system_score_gemma":0.002792136,"threshold_uncertainty_score":0.13284242},"labels":[],"label_agreement":null},{"id":"W4406427901","doi":"10.1007/s10584-024-03848-6","title":"Quantifying the individual and combined influence of climate change, land cover transition, and internal climate variability on the hydrology of a snow-dominated forested watershed","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Watershed; Environmental science; Hydrology (agriculture); Climate change; Land cover; Snow; Snow cover; Physical geography; Land use; Climatology; Geography; Ecology; Geology; Meteorology; Oceanography","score_opus":0.033782188205579974,"score_gpt":0.25979568173911055,"score_spread":0.22601349353353056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406427901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99964607,0.000015277014,0.00012466316,0.000011945081,6.1670437e-7,0.0000019190243,0.00003792441,0.0000024048481,0.00015923662],"genre_scores_gemma":[0.99966776,0.000019937295,0.00017153348,0.0000044783405,0.0000029817106,0.000001941706,0.000080972066,0.0000020460793,0.000048408165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996805,0.00012406803,0.000019563113,0.000081027094,0.000035755005,0.00005914776],"domain_scores_gemma":[0.9986449,0.0008169623,0.00019840032,0.00007030526,0.00008001685,0.00018944261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010598268,0.0002283956,0.00032492616,0.00072425406,0.00035170672,0.0011883723,0.00029946954,0.00041143666,0.0005089508],"category_scores_gemma":[0.0021858572,0.00023405682,0.0005056879,0.00079360657,0.0005449568,0.0009679953,0.000568321,0.00034624126,0.000048623475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025576033,0.00019892096,0.95678645,0.000022704196,0.00040721218,0.000080366575,0.00019675464,0.023946648,0.01091103,0.000344788,0.00008699118,0.0067623644],"study_design_scores_gemma":[0.000008764903,0.00006786839,0.9597257,0.0000027482793,0.00010625087,0.000021973037,0.00025527205,0.038425513,0.0010550237,0.00020154817,0.00011800649,0.000011434402],"about_ca_topic_score_codex":0.021689203,"about_ca_topic_score_gemma":0.048785966,"teacher_disagreement_score":0.021689203,"about_ca_system_score_codex":0.0009126803,"about_ca_system_score_gemma":0.000904205,"threshold_uncertainty_score":0.043125927},"labels":[],"label_agreement":null},{"id":"W4406535060","doi":"10.1007/s10584-024-03849-5","title":"Climate change-immobility nexus: perspectives of voluntary immobile populations from three coastal communities in Ghana","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Nexus (standard); Climate change; Turnover; Geography; Natural resource economics; Ecology; Economics; Biology","score_opus":0.21981916990129322,"score_gpt":0.36791598874403514,"score_spread":0.14809681884274192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406535060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974963,0.00013008447,0.0000623172,0.00079401716,0.0000025218953,0.0000070065016,0.000034235476,4.5887245e-7,0.0014730913],"genre_scores_gemma":[0.9995946,0.00013528408,0.000045801182,0.000051850413,0.0000013049471,0.0000060985535,0.00001747279,3.8179442e-7,0.0001471409],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9996043,0.0001596519,0.00000991957,0.000022674658,0.000016480344,0.00018712696],"domain_scores_gemma":[0.99922717,0.00028242834,0.000184347,0.00002561354,0.00008078646,0.00019967345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005792271,0.00019032201,0.00030612922,0.0005685778,0.0037820677,0.0016423975,0.0006607179,0.00065333536,0.0021446836],"category_scores_gemma":[0.0011836924,0.0001430266,0.00017340189,0.002038432,0.0026194633,0.0012460117,0.0028923673,0.0009993727,0.00007112038],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026678684,0.00022447588,0.47177938,0.00023801766,0.00008588327,0.0071192677,0.46918172,0.00080689986,0.0017538894,0.02850884,0.0012211603,0.018813813],"study_design_scores_gemma":[0.00001822938,0.00007347898,0.2075095,0.000095225994,0.000033546265,0.00044464154,0.7845855,0.00044726307,0.00013885657,0.0029908547,0.003648546,0.000014368227],"about_ca_topic_score_codex":0.14927725,"about_ca_topic_score_gemma":0.36371928,"teacher_disagreement_score":0.14927725,"about_ca_system_score_codex":0.0033449759,"about_ca_system_score_gemma":0.0028663885,"threshold_uncertainty_score":0.29681677},"labels":[],"label_agreement":null},{"id":"W4408220510","doi":"10.1007/s10584-025-03883-x","title":"Changes in bioclimatic conditions on the coast of the Labrador Peninsula in the second half of the 18th century","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Narodowe Centrum Nauki","keywords":"Peninsula; Physical geography; Climatology; Geography; Geology; Oceanography; Archaeology","score_opus":0.04069370278006691,"score_gpt":0.27168280054638483,"score_spread":0.23098909776631793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408220510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99753237,0.00045447264,0.000024267418,0.0000527811,0.0000035128837,0.0000020535326,0.00034387744,0.0000045236634,0.0015820346],"genre_scores_gemma":[0.99892694,0.00020209997,0.00007057544,0.000009105915,0.0000046245127,0.000002265591,0.0003480167,0.0000020321588,0.0004343054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982977,0.000027410355,0.000012155444,0.000043159365,0.000026866019,0.000060705624],"domain_scores_gemma":[0.9997236,0.000016794178,0.000144608,0.000014834642,0.000071571405,0.0000285384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030314765,0.00017267064,0.00014118257,0.0009692642,0.00035159878,0.0008310185,0.0002830488,0.00012823175,0.00089702045],"category_scores_gemma":[0.00041474725,0.00006584021,0.00018128184,0.0012336283,0.00034992065,0.00023436142,0.00034650162,0.0001677706,0.00017450406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013651921,0.000025248653,0.97658813,0.000056105924,0.00006432643,0.00024089779,0.0019085549,0.0002935031,0.0015899095,0.00022084994,0.0004082365,0.018467676],"study_design_scores_gemma":[9.005777e-7,0.0000072378807,0.99852633,0.0000054859524,0.0000035496698,0.0000311218,0.0004089206,0.000034960125,0.00008599678,0.0000044435155,0.0008893586,0.0000017716632],"about_ca_topic_score_codex":0.105774514,"about_ca_topic_score_gemma":0.17353816,"teacher_disagreement_score":0.8942255,"about_ca_system_score_codex":0.0013716473,"about_ca_system_score_gemma":0.00050529663,"threshold_uncertainty_score":0.21031767},"labels":[],"label_agreement":null},{"id":"W4408282992","doi":"10.1007/s10584-025-03896-6","title":"Personality traits and climate skepticism: evidence from Canada","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council","keywords":"Skepticism; Big Five personality traits; Personality; Psychology; Social psychology; Environmental ethics; Epistemology; Philosophy","score_opus":0.5230377952967491,"score_gpt":0.45272929985241844,"score_spread":0.07030849544433065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408282992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99205315,0.0007475697,0.00006467816,0.0009190728,0.000021492904,0.000021329937,0.00066115963,0.000002720851,0.0055087307],"genre_scores_gemma":[0.9967809,0.00085219543,0.00009575785,0.00028825234,0.000010761546,0.000010555321,0.00045837156,0.000005960942,0.0014971544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985454,0.00024674644,0.000058066813,0.00018087993,0.00061272056,0.00035623822],"domain_scores_gemma":[0.98320985,0.0041139005,0.0031094777,0.00072014116,0.006455759,0.002390786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021757693,0.00030173734,0.0006273546,0.0014250482,0.006374875,0.0030411282,0.0012890772,0.0009444386,0.0052178777],"category_scores_gemma":[0.010451565,0.00038896146,0.0005189585,0.0049533793,0.002587493,0.000652787,0.0011652384,0.0014874962,0.0002840366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025026585,0.0001704009,0.9774111,0.000054835207,0.00013247784,0.00018348682,0.010102725,0.00012342137,0.00016631471,0.00072853157,0.0022363206,0.008440301],"study_design_scores_gemma":[0.00002858564,0.000023613096,0.98973095,0.000055452612,0.00005024027,0.000037623595,0.007818543,0.00013791517,0.000051175502,0.00015833692,0.0018884587,0.000019161736],"about_ca_topic_score_codex":0.9928197,"about_ca_topic_score_gemma":0.99663335,"teacher_disagreement_score":0.018458748,"about_ca_system_score_codex":0.018458748,"about_ca_system_score_gemma":0.030621966,"threshold_uncertainty_score":0.13392818},"labels":[],"label_agreement":null},{"id":"W4408287499","doi":"10.1007/s10584-025-03892-w","title":"Identifying and overcoming barriers to climate change adaptation innovations among smallholder farmers in developing countries: a literature review and meta-analysis","year":2025,"lang":"en","type":"review","venue":"Climatic Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec en Abitibi-Témiscamingue","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Climate change; Climate change adaptation; Adaptation (eye); Developing country; Natural resource economics; Environmental resource management; Meta-analysis; Environmental planning; Business; Geography; Environmental science; Economics; Economic growth; Ecology; Psychology; Biology","score_opus":0.2450431438666411,"score_gpt":0.36583811046315257,"score_spread":0.12079496659651145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408287499","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005182164,0.9933884,0.00038348415,0.0003193068,0.000084354164,0.00017677387,0.0002525857,0.000006270107,0.00020669009],"genre_scores_gemma":[0.079903506,0.91649747,0.0018991596,0.00079601456,0.00008888225,0.0004098247,0.00025768502,0.000011946591,0.00013548763],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99277955,0.0028324258,0.0022774315,0.00089278334,0.00085166516,0.00036620488],"domain_scores_gemma":[0.96327776,0.02962686,0.004664668,0.00058457704,0.0014905946,0.000355436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016503988,0.0021612595,0.010135257,0.0049366476,0.0006087561,0.004524036,0.0023913078,0.0026523417,0.0044568935],"category_scores_gemma":[0.046036992,0.0011840515,0.016086828,0.00705014,0.00090093457,0.0027523194,0.0023085636,0.0022906992,0.00021484432],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012435309,0.00016399533,0.010454403,0.71224004,0.18437012,0.00017155007,0.0007028815,0.00063584285,0.0002428087,0.00053524395,0.00089522573,0.088344336],"study_design_scores_gemma":[0.00064036075,0.0005735142,0.019464182,0.23357889,0.73329043,0.00019115645,0.00092188385,0.00033800682,0.0002996723,0.00081226917,0.009799174,0.000090475456],"about_ca_topic_score_codex":0.014068667,"about_ca_topic_score_gemma":0.04345854,"teacher_disagreement_score":0.016503988,"about_ca_system_score_codex":0.002878474,"about_ca_system_score_gemma":0.010237367,"threshold_uncertainty_score":0.08728248},"labels":[],"label_agreement":null},{"id":"W4408339838","doi":"10.1007/s10584-025-03893-9","title":"Armed rebel groups engage in climate governance","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"U.S. Department of Defense","keywords":"Corporate governance; Climate governance; Political science; Climate change; Climatology; Environmental science; Business; Geology; Oceanography; Finance","score_opus":0.04620372097525461,"score_gpt":0.3281166561522273,"score_spread":0.2819129351769727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408339838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7511394,0.00062593294,0.0027452433,0.011846236,0.00015621426,0.0000422428,0.00006570512,0.000034709097,0.23334418],"genre_scores_gemma":[0.99395704,0.00017227116,0.00022095535,0.0003088447,0.000021925478,0.0000109015145,0.00001664816,0.0000052482123,0.005286185],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99825877,0.0009820226,0.000027144422,0.00011955432,0.00014647655,0.00046601365],"domain_scores_gemma":[0.9982158,0.000510146,0.0005228271,0.00012532147,0.0001421215,0.00048376987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015356708,0.0002619904,0.00015247452,0.000774383,0.004629907,0.0032515763,0.0004291158,0.0008804766,0.013220638],"category_scores_gemma":[0.0023012836,0.00013944154,0.00013892144,0.0005498834,0.0028124724,0.0018235978,0.005093017,0.0012603914,0.0009718863],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018217349,0.00054747536,0.19971897,0.00034470076,0.00012754404,0.0017079661,0.3850816,0.0016716956,0.004397354,0.22307564,0.03990116,0.14324379],"study_design_scores_gemma":[0.00002211792,0.00018176467,0.094336286,0.00045143452,0.000031558004,0.0006534666,0.45451555,0.0016276739,0.0008719297,0.07714939,0.37010366,0.000055173987],"about_ca_topic_score_codex":0.0027398565,"about_ca_topic_score_gemma":0.008808749,"teacher_disagreement_score":0.013220638,"about_ca_system_score_codex":0.0009620118,"about_ca_system_score_gemma":0.00093041407,"threshold_uncertainty_score":0.04422742},"labels":[],"label_agreement":null},{"id":"W4409742900","doi":"10.1007/s10584-025-03942-3","title":"Permafrost degradation-induced risks for nature-based tourism in the Arctic – case from the Yukon","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Kvantum-instituutti, Oulun Yliopisto; Oulun Yliopiston Tukisäätiö; Oulun Yliopisto","keywords":"Permafrost; Arctic; Tourism; The arctic; Degradation (telecommunications); Physical geography; Earth science; Geology; Environmental science; Climatology; Oceanography; Geography; Archaeology; Engineering","score_opus":0.1334063748555616,"score_gpt":0.3294812440585519,"score_spread":0.1960748692029903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409742900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99535275,0.00016327026,0.00006293051,0.00027205705,0.000006185777,0.0000058503515,0.00006802451,0.0000016386645,0.0040672594],"genre_scores_gemma":[0.9992387,0.00020263421,0.00003260354,0.000023786813,0.0000013514243,0.0000016290317,0.000035360008,6.194191e-7,0.00046320684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982125,0.000033066353,0.000008282971,0.000012995115,0.000028179928,0.00009640995],"domain_scores_gemma":[0.9998381,0.00002928474,0.000031877324,0.000008626587,0.00005247404,0.000039733084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017797714,0.00013526632,0.0001311887,0.0004286822,0.0015933599,0.0010737855,0.00023995941,0.00039077128,0.0014009399],"category_scores_gemma":[0.00026572082,0.000059714563,0.0003711152,0.00065987936,0.0006771494,0.00028757396,0.0009957763,0.0002921074,0.00009534479],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027834123,0.0001776701,0.87958044,0.00038771573,0.00014906902,0.040855397,0.026607027,0.006725145,0.0035630139,0.009965914,0.0039094994,0.027800672],"study_design_scores_gemma":[0.000007726397,0.00013684438,0.77455324,0.00016833527,0.00008402011,0.0039365357,0.20063633,0.0034552442,0.00061005703,0.0018920967,0.014474332,0.000045278055],"about_ca_topic_score_codex":0.2987152,"about_ca_topic_score_gemma":0.4154531,"teacher_disagreement_score":0.70128477,"about_ca_system_score_codex":0.0031856329,"about_ca_system_score_gemma":0.002701937,"threshold_uncertainty_score":0.593953},"labels":[],"label_agreement":null},{"id":"W4410222112","doi":"10.1007/s10584-025-03944-1","title":"Environmental impacts from the widespread implementation of ocean thermal energy conversion","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ocean thermal energy conversion; Environmental science; Climate change; Effects of global warming on oceans; Global warming; Fossil fuel; Oceanography; Seawater; Ecology; Geology","score_opus":0.018587480172377567,"score_gpt":0.24411358603904643,"score_spread":0.22552610586666885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410222112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99406636,0.00012949077,0.0012168054,0.0002478927,0.000024555167,0.000027507564,0.0002271102,0.000042946973,0.0040173116],"genre_scores_gemma":[0.99933165,0.000046377416,0.00027001151,0.00003748465,0.0000022794588,0.0000066208145,0.0000870164,0.000004207916,0.00021425464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993364,0.0002379065,0.000042489493,0.00010230162,0.00009843309,0.00018244282],"domain_scores_gemma":[0.9988129,0.00032996625,0.00024303194,0.0001890047,0.00027129785,0.00015373375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010966716,0.00037638933,0.00032287484,0.00023248723,0.00040622984,0.00093105074,0.00062227406,0.00054002396,0.0015382635],"category_scores_gemma":[0.0018021393,0.00022951503,0.00071064493,0.0004879494,0.0006984044,0.0005790424,0.001811153,0.0012918998,0.000098845725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011190107,0.00052384194,0.12675977,0.0002422277,0.0005441142,0.000681031,0.000120333214,0.81114167,0.020667324,0.0040489095,0.0014485902,0.032703184],"study_design_scores_gemma":[0.0007670266,0.003747098,0.34535405,0.00017744808,0.0006504154,0.00028044544,0.0021959934,0.60212165,0.021994602,0.0060591768,0.016473478,0.00017859695],"about_ca_topic_score_codex":0.04152851,"about_ca_topic_score_gemma":0.045612797,"teacher_disagreement_score":0.04152851,"about_ca_system_score_codex":0.0017334049,"about_ca_system_score_gemma":0.0011983116,"threshold_uncertainty_score":0.08257359},"labels":[],"label_agreement":null},{"id":"W4410288297","doi":"10.1007/s10584-025-03933-4","title":"An assessment of ocean thermal energy conversion resources and climate change mitigation potential","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ocean thermal energy conversion; Environmental science; Climate change; Renewable energy; Climate model; Electricity generation; Climate change mitigation; Climatology; Meteorology; Power (physics); Oceanography; Seawater; Ecology; Geography","score_opus":0.01343633088355025,"score_gpt":0.2475589051287587,"score_spread":0.23412257424520844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410288297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9407915,0.0012247488,0.009368765,0.00092228333,0.00005685177,0.00009117522,0.0022443195,0.00012109539,0.045179144],"genre_scores_gemma":[0.9945582,0.0004040148,0.0032230224,0.000039916642,0.0000072695752,0.000030558662,0.00044841433,0.000018644896,0.0012700415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978834,0.00007798419,0.000009845803,0.000026628528,0.000059958777,0.00003718202],"domain_scores_gemma":[0.99966574,0.00017177199,0.000032656753,0.000024616735,0.00008035511,0.000024894276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000791185,0.00053647446,0.00032833812,0.0006060471,0.00028405528,0.001048318,0.00037418513,0.00069392746,0.0021099509],"category_scores_gemma":[0.0011780743,0.00019124283,0.0006515026,0.0013031673,0.00028292576,0.0011400616,0.0006815055,0.00052122027,0.00015311937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034490728,0.00008751623,0.035299696,0.00023908098,0.00030912834,0.00032059842,0.00006258118,0.9071049,0.006361946,0.012187644,0.0013010483,0.036381],"study_design_scores_gemma":[0.00013744809,0.0006643556,0.071059056,0.000116198134,0.00034169175,0.00014633828,0.0007179616,0.88233644,0.007068835,0.016560309,0.0207332,0.00011812145],"about_ca_topic_score_codex":0.010363324,"about_ca_topic_score_gemma":0.012992461,"teacher_disagreement_score":0.010363324,"about_ca_system_score_codex":0.0012176167,"about_ca_system_score_gemma":0.0008619731,"threshold_uncertainty_score":0.020605981},"labels":[],"label_agreement":null},{"id":"W4410967409","doi":"10.1007/s10584-025-03958-9","title":"How likely is Ukraine to experience an extreme drought in the near future?","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Grantová Agentura České Republiky; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Environmental science; Climatology; Geology","score_opus":0.08548132912564885,"score_gpt":0.29658197630003924,"score_spread":0.2111006471743904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410967409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673968,0.002579364,0.0016528564,0.017404167,0.000304477,0.0000064054007,0.001211477,0.000040027764,0.009404414],"genre_scores_gemma":[0.998135,0.0010043796,0.000099286575,0.00024454572,0.000054876084,0.0000015534682,0.00017104472,0.0000031311029,0.00028610858],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997497,0.00007051768,0.000019816394,0.000037976697,0.000024567978,0.00009744236],"domain_scores_gemma":[0.9990652,0.0001863216,0.00038654756,0.000027301721,0.000117598676,0.0002170784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006348566,0.00011494565,0.00026315,0.00041714235,0.0005903249,0.0014504816,0.0002183503,0.0007037119,0.0014328286],"category_scores_gemma":[0.0022306002,0.00008656698,0.00026550356,0.0004576262,0.00035839135,0.0012299318,0.00061672344,0.0007270465,0.00016894183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018929517,0.00007305869,0.8998509,0.00018752317,0.0005831531,0.0018798182,0.0010728537,0.037750848,0.0010417189,0.010453863,0.0075234333,0.039393645],"study_design_scores_gemma":[0.000016376021,0.00014789813,0.8954331,0.0002707,0.00028953346,0.0018439145,0.014020372,0.037414357,0.0009781648,0.02092145,0.028584078,0.000080015554],"about_ca_topic_score_codex":0.01907211,"about_ca_topic_score_gemma":0.022430597,"teacher_disagreement_score":0.01907211,"about_ca_system_score_codex":0.00086246314,"about_ca_system_score_gemma":0.00090224546,"threshold_uncertainty_score":0.037922204},"labels":[],"label_agreement":null},{"id":"W4411033166","doi":"10.1007/s10584-025-03936-1","title":"Climate media amidst technopolitical change: challenges, transformations, and new directions for research","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Climate change; Political science; Climatology; Environmental science; Geology; Oceanography","score_opus":0.8563992302616796,"score_gpt":0.5795330747409696,"score_spread":0.27686615552071003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411033166","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03166509,0.22364643,0.025170881,0.61779356,0.007015839,0.00011342713,0.00020445549,0.00018883198,0.0942015],"genre_scores_gemma":[0.769221,0.17425193,0.015808903,0.023459325,0.009006003,0.00036505074,0.00017016618,0.0002522315,0.0074654343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9837051,0.011894689,0.0005007748,0.0016340074,0.0014572106,0.000808395],"domain_scores_gemma":[0.9504092,0.039280813,0.0014929783,0.003962854,0.0034873316,0.001366929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030541096,0.00086469925,0.0015562745,0.004892314,0.0073100473,0.02856824,0.0029526986,0.005817267,0.005456668],"category_scores_gemma":[0.024434226,0.00052994146,0.00088511006,0.006381012,0.060933013,0.05250732,0.010407357,0.013386872,0.0008133057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035790483,0.000049612558,0.0013957319,0.00076044735,0.000032293698,0.00011732013,0.027776578,0.00040278834,0.00021991214,0.91733205,0.006050564,0.045826852],"study_design_scores_gemma":[0.000015358672,0.000069194386,0.002323026,0.0043260497,0.00004633103,0.0003098183,0.106100135,0.0014462253,0.00051077286,0.665266,0.21952482,0.00006230397],"about_ca_topic_score_codex":0.0039585494,"about_ca_topic_score_gemma":0.0034988686,"teacher_disagreement_score":0.030541096,"about_ca_system_score_codex":0.008346653,"about_ca_system_score_gemma":0.010776112,"threshold_uncertainty_score":0.1615187},"labels":[],"label_agreement":null},{"id":"W4411222346","doi":"10.1007/s10584-025-03962-z","title":"Framing divestment: A decade of media discourse on fossil fuel divestment in higher education","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council","keywords":"Divestment; Framing (construction); Political science; Media studies; Sociology; Geography; Law","score_opus":0.4933788078785019,"score_gpt":0.4912128776678821,"score_spread":0.0021659302106198375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411222346","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.321597,0.08749982,0.0038108656,0.47886643,0.0069486587,0.00003851066,0.0005219293,0.000094570896,0.10062216],"genre_scores_gemma":[0.9506385,0.022929149,0.00058952806,0.017821604,0.0042663827,0.00003189248,0.00016338614,0.00009351934,0.003466078],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9900503,0.0057150777,0.000511212,0.00084831356,0.0018836029,0.0009915474],"domain_scores_gemma":[0.8797406,0.104422115,0.006385951,0.002051022,0.004921051,0.002479279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019893061,0.0007246476,0.000575729,0.007313526,0.008134513,0.022809198,0.0013525081,0.009091135,0.005395614],"category_scores_gemma":[0.049977176,0.0005749092,0.000338221,0.009075016,0.02247321,0.025896154,0.009721161,0.011025206,0.00049049046],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018658534,0.00011409388,0.011509688,0.001239571,0.000046936297,0.00075930724,0.7263706,0.00031204222,0.0012649281,0.13925646,0.030834766,0.08810502],"study_design_scores_gemma":[0.000017806946,0.000056687964,0.018665027,0.004956064,0.000044138615,0.00028636193,0.50677186,0.0006276782,0.0010754721,0.033980533,0.43343207,0.0000863174],"about_ca_topic_score_codex":0.013281748,"about_ca_topic_score_gemma":0.017649315,"teacher_disagreement_score":0.022809198,"about_ca_system_score_codex":0.008511882,"about_ca_system_score_gemma":0.0069530867,"threshold_uncertainty_score":0.105205834},"labels":[],"label_agreement":null},{"id":"W4411248556","doi":"10.1007/s10584-025-03957-w","title":"The effect of environmental voter mobilization on voter turnout and environmental attitudes: evidence from a field experiment in British Columbia, Canada","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of California, Santa Barbara","keywords":"Voter turnout; Turnout; Mobilization; Political science; Field (mathematics); Social mobilization; Demographic economics; Geography; Environmental science; Economics; Voting; Politics; Law; Mathematics","score_opus":0.007223900437855167,"score_gpt":0.2407912701840017,"score_spread":0.23356736974614653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411248556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934487,0.00013648822,0.00020887707,0.00033018674,0.00002820053,0.00034801807,0.00051336654,0.000016453523,0.004969726],"genre_scores_gemma":[0.99014306,0.0002133353,0.00069770607,0.00047529416,0.0000139286385,0.00043999343,0.0006188505,0.000015196386,0.0073826024],"study_design_codex":"observational","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9955916,0.0018649554,0.00010035741,0.0006099592,0.0008486882,0.0009843607],"domain_scores_gemma":[0.9845968,0.0051437616,0.0014291661,0.0011762357,0.004850391,0.002803615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057180426,0.0007103769,0.0007753515,0.000794356,0.007915791,0.0017047054,0.0020501239,0.0011733627,0.0070698312],"category_scores_gemma":[0.010755093,0.00063327176,0.00058794604,0.0013421439,0.0031316932,0.0005959229,0.00093569915,0.0017725638,0.0011187893],"study_design_candidate":"randomized_trial","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0124461865,0.026105661,0.8137802,0.0006574774,0.0007692655,0.00052836066,0.026597032,0.001914186,0.008061922,0.0018039414,0.023847217,0.083488576],"study_design_scores_gemma":[0.0012353378,0.003453143,0.96124727,0.0001796036,0.00032684222,0.00003597856,0.021152541,0.0017267213,0.0017073809,0.0004248698,0.008379949,0.00013032467],"about_ca_topic_score_codex":0.98438835,"about_ca_topic_score_gemma":0.99462974,"teacher_disagreement_score":0.029640893,"about_ca_system_score_codex":0.029640893,"about_ca_system_score_gemma":0.04098967,"threshold_uncertainty_score":0.21506071},"labels":[],"label_agreement":null},{"id":"W4412475067","doi":"10.1007/s10584-025-03983-8","title":"Projections of extreme rainfall and floods in Mediterranean basins from an ensemble of convection-permitting models","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Horizon 2020 Framework Programme; Agence Nationale de la Recherche","keywords":"Climatology; Mediterranean climate; Geology; Convection; Meteorology; Environmental science; Hydrology (agriculture); Geography","score_opus":0.07587710364258475,"score_gpt":0.2984393117948581,"score_spread":0.22256220815227334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412475067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968342,0.00007392534,0.0015123113,0.000118244505,0.000022438682,0.0000070176275,0.00081086135,0.00007502443,0.000545969],"genre_scores_gemma":[0.99761236,0.00006239517,0.0012660425,0.000012696914,0.000013566185,0.00001329225,0.00083863764,0.000008636672,0.00017227938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998541,0.000051061063,0.000011061057,0.000035625533,0.000021339563,0.000026739657],"domain_scores_gemma":[0.99946195,0.00017454877,0.00008094351,0.00007594235,0.000091355585,0.00011525158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008174213,0.00053071894,0.00042518583,0.00037159937,0.0003424031,0.00058613264,0.00057922374,0.0007258578,0.00082854717],"category_scores_gemma":[0.0018983515,0.0004814319,0.00076964125,0.00051902654,0.00035732676,0.0005849813,0.0004252785,0.0006212252,0.00014418532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023528696,0.00006639371,0.02281119,0.000023440864,0.00019420478,0.0000834243,0.000061554594,0.97033125,0.0009847374,0.0006038311,0.00068544113,0.0039193053],"study_design_scores_gemma":[0.00006505114,0.000042551346,0.024682527,0.0000060095467,0.00004952182,0.00001576102,0.00004512076,0.9735589,0.00040153475,0.00073304225,0.0003753756,0.000024496921],"about_ca_topic_score_codex":0.0325637,"about_ca_topic_score_gemma":0.028735176,"teacher_disagreement_score":0.0325637,"about_ca_system_score_codex":0.0009824234,"about_ca_system_score_gemma":0.00092639105,"threshold_uncertainty_score":0.06474829},"labels":[],"label_agreement":null},{"id":"W4412587129","doi":"10.1007/s10584-025-03976-7","title":"The attribution of human health outcomes to climate change: transdisciplinary practical guidance","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Western University; Centre for Addiction and Mental Health; University of Alberta","funders":"Wellcome Trust","keywords":"Attribution; Climate change; Human health; Environmental resource management; Environmental science; Psychology; Climatology; Environmental health; Medicine; Social psychology; Geology; Oceanography","score_opus":0.19342419058592378,"score_gpt":0.46009741392703396,"score_spread":0.2666732233411102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412587129","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01789288,0.024886698,0.3280494,0.57832515,0.004502789,0.0009389362,0.0006331796,0.00039986713,0.044371113],"genre_scores_gemma":[0.5931524,0.034535296,0.30908856,0.046705034,0.0077942973,0.0026553203,0.0005001786,0.00023964435,0.0053292937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.91523963,0.068159565,0.00423399,0.004499932,0.0066160583,0.0012507817],"domain_scores_gemma":[0.71720123,0.2372818,0.0068626814,0.016191859,0.018613864,0.0038485618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.17258456,0.003479791,0.0054344046,0.0074251173,0.006456863,0.011505942,0.010766543,0.013346173,0.00864301],"category_scores_gemma":[0.29592544,0.0015424136,0.003531608,0.004279728,0.023606662,0.016085273,0.015440729,0.016475506,0.001080693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000460165,0.0010544277,0.0266076,0.0029122636,0.0015658259,0.0016009205,0.031944994,0.03894503,0.00062947866,0.53552145,0.061442025,0.29731587],"study_design_scores_gemma":[0.00006153109,0.00006076756,0.0028266602,0.001542058,0.00009400946,0.0001313179,0.006452294,0.006858077,0.00016627501,0.96575546,0.015958164,0.00009331614],"about_ca_topic_score_codex":0.0336851,"about_ca_topic_score_gemma":0.042505745,"teacher_disagreement_score":0.17258456,"about_ca_system_score_codex":0.009834033,"about_ca_system_score_gemma":0.022756027,"threshold_uncertainty_score":0.9127253},"labels":[],"label_agreement":null},{"id":"W4414179285","doi":"10.1007/s10584-025-04010-6","title":"A stepwise-clustered concurrent extreme analysis for concurrent drought-heatwave events: a case study of North China","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Precipitation; China; GCM transcription factors; Climate extremes; Climate model; Adaptation (eye)","score_opus":0.07289236702336631,"score_gpt":0.31571352631405186,"score_spread":0.24282115929068554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414179285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962554,0.000016260348,0.0032114626,0.00002029456,0.0000017763708,0.000032959488,0.00012657735,0.000015474754,0.0003197669],"genre_scores_gemma":[0.9941393,0.000011922156,0.0054146238,0.0000028919608,0.0000029704288,0.000018248946,0.00022690646,0.000005307349,0.00017771918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940395,0.00021513729,0.000039394472,0.00014866042,0.000097462645,0.00009537505],"domain_scores_gemma":[0.9987872,0.0005405255,0.00012568689,0.00013903728,0.0002910901,0.00011640201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013487391,0.00041223833,0.00035105337,0.001353265,0.001173199,0.00063268567,0.00095509837,0.00033094874,0.0008349208],"category_scores_gemma":[0.0029985243,0.00019855719,0.00083249307,0.0018735406,0.00041567624,0.00040191837,0.00087601173,0.0003311719,0.00006074766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000889622,0.00076878665,0.82505256,0.00009619383,0.0005492259,0.0037377963,0.0017594481,0.08421016,0.008603465,0.0024940623,0.0009195075,0.07091918],"study_design_scores_gemma":[0.000093759874,0.00028322186,0.55714524,0.000013551905,0.00035165303,0.00035408203,0.002437355,0.4339103,0.0024901084,0.001933676,0.0009278069,0.000059202113],"about_ca_topic_score_codex":0.07623495,"about_ca_topic_score_gemma":0.12612623,"teacher_disagreement_score":0.07623495,"about_ca_system_score_codex":0.00092436175,"about_ca_system_score_gemma":0.0018903869,"threshold_uncertainty_score":0.15158242},"labels":[],"label_agreement":null},{"id":"W4416407723","doi":"10.1007/s10584-025-04045-9","title":"Strengthening climate disaster education for youth in black communities across Western Canada","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Horizon College and Seminary; Mount Royal University; University of the Fraser Valley","funders":"Social Sciences and Humanities Research Council","keywords":"Vulnerability (computing); Climate change; Psychological resilience; Empowerment; Citizen journalism; Participatory action research; Youth empowerment","score_opus":0.19411318042196923,"score_gpt":0.3813836949615914,"score_spread":0.18727051453962218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416407723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9470489,0.0010210039,0.0004266101,0.028367886,0.00038374297,0.000338575,0.00038832234,0.000055894583,0.021969106],"genre_scores_gemma":[0.98289144,0.0014958557,0.0016873761,0.0039573684,0.000054935863,0.00033522566,0.00020775883,0.000018304314,0.009351783],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9981553,0.00022224907,0.000023998435,0.00008533667,0.00020535458,0.0013077023],"domain_scores_gemma":[0.9912435,0.00026659406,0.00029160056,0.00006872621,0.0011345455,0.006995104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021125355,0.00036814998,0.000427156,0.00071977923,0.016530177,0.002596023,0.0018751151,0.0010029653,0.0069780126],"category_scores_gemma":[0.003746556,0.00030288298,0.00044926256,0.00088956667,0.0012366051,0.0009660693,0.0050664,0.0027662644,0.00043854737],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000303104,0.0049431818,0.4993885,0.000780454,0.00013551758,0.0010696581,0.14976144,0.00080228754,0.0024384132,0.004929485,0.11838078,0.21706714],"study_design_scores_gemma":[0.00014786504,0.0004829779,0.54286546,0.0017000628,0.0001454674,0.00012563248,0.33210102,0.0008046043,0.00089998473,0.0023149017,0.11831671,0.0000954377],"about_ca_topic_score_codex":0.943222,"about_ca_topic_score_gemma":0.99005497,"teacher_disagreement_score":0.056778014,"about_ca_system_score_codex":0.034604665,"about_ca_system_score_gemma":0.23350288,"threshold_uncertainty_score":0.25107563},"labels":[],"label_agreement":null},{"id":"W4417507340","doi":"10.1007/s10584-025-04066-4","title":"Beyond the mean: quantile-based insights into climate impacts on Arctic winter roads","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Quantile regression; Quantile; Arctic; Climate change; Heating degree day; Climate model; Degree (music); Spatial distribution","score_opus":0.04976197721093722,"score_gpt":0.2797528383764273,"score_spread":0.22999086116549006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417507340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8997459,0.0027884813,0.061992984,0.005457887,0.000105137166,0.00001898198,0.00229643,0.00015031279,0.027443955],"genre_scores_gemma":[0.99770564,0.0003590762,0.0009362083,0.00006197771,0.000041437295,0.0000025230022,0.00016007306,0.00002253145,0.00071066956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995895,0.00018336791,0.000011841545,0.00007383116,0.00005513301,0.00008639981],"domain_scores_gemma":[0.99616253,0.0024125564,0.00045472806,0.00032571514,0.00045549712,0.0001889953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020082404,0.00023340053,0.0005315234,0.0010124973,0.0005070029,0.0026886389,0.000730274,0.0006162511,0.005909702],"category_scores_gemma":[0.009645383,0.00020290162,0.0005727193,0.0016412172,0.0009929205,0.002559763,0.000989542,0.0012788409,0.00022239324],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022750584,0.00009430911,0.24773164,0.00009386478,0.0002976364,0.00021212368,0.0010987702,0.47673544,0.00077309686,0.22107796,0.004621559,0.047036123],"study_design_scores_gemma":[0.000012045088,0.000054710003,0.2242555,0.00008556693,0.00010523236,0.000079240985,0.0018693795,0.41352144,0.00028084076,0.35325813,0.006432416,0.000045483444],"about_ca_topic_score_codex":0.034618672,"about_ca_topic_score_gemma":0.035762537,"teacher_disagreement_score":0.034618672,"about_ca_system_score_codex":0.0012149509,"about_ca_system_score_gemma":0.0006711438,"threshold_uncertainty_score":0.068834364},"labels":[],"label_agreement":null},{"id":"W7080820945","doi":"10.1007/s10584-025-03990-9","title":"Projected evolution of the Urban climate and heatwaves using an ensemble of convection-permitting regional climate models","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Abdus Salam International Centre for Theoretical Physics; Agence Nationale de la Recherche","keywords":"Urban climate; Daytime; Urban heat island; Climate model; Climate change; Land cover; Greenhouse gas; Urban climatology","score_opus":0.07485221438904827,"score_gpt":0.2757448603987334,"score_spread":0.20089264600968515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7080820945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892041,0.000076833974,0.004942356,0.00019752962,0.000052207033,0.000017012962,0.0031803914,0.0002199789,0.0021096529],"genre_scores_gemma":[0.99455017,0.00005769676,0.0031524927,0.000017585111,0.0000106630005,0.000021415746,0.0018257821,0.000021764847,0.0003424452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988246,0.000036568676,0.00000621199,0.000035546243,0.000015321326,0.000023857248],"domain_scores_gemma":[0.9995882,0.00011048614,0.000040515893,0.00005347399,0.00013508595,0.00007221437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005690774,0.00050295284,0.00038766582,0.00036296013,0.00043078532,0.0005361006,0.00053115364,0.00063218595,0.0017173183],"category_scores_gemma":[0.0009978808,0.0004267008,0.00075212336,0.00070636114,0.00031132618,0.0005607169,0.00029684755,0.00064370834,0.00026338844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013953265,0.00005597583,0.012344944,0.00001915153,0.000094575276,0.000043825035,0.000034320088,0.9825032,0.0008350694,0.0005019668,0.0007001288,0.0027274291],"study_design_scores_gemma":[0.000052651492,0.000025087345,0.012428812,0.000003421786,0.000043893695,0.000011441437,0.00003624739,0.986192,0.0004712222,0.00035044304,0.00036603643,0.000018661885],"about_ca_topic_score_codex":0.06590723,"about_ca_topic_score_gemma":0.062785745,"teacher_disagreement_score":0.06590723,"about_ca_system_score_codex":0.0011046155,"about_ca_system_score_gemma":0.0011585873,"threshold_uncertainty_score":0.13104725},"labels":[],"label_agreement":null},{"id":"W7108945308","doi":"10.1007/s10584-025-04085-1","title":"Philanthropy’s role in supporting community-level climate action in Atlantic Canada: opportunities and challenges","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Grassroots; Climate Finance; Climate resilience; Climate change; Equity (law); Psychological resilience; Private sector; Action (physics); Public funding","score_opus":0.5276478285434759,"score_gpt":0.3887644145564279,"score_spread":0.138883413987048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108945308","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2897227,0.0034091943,0.0007698536,0.59585243,0.0011636626,0.00014599282,0.00023064188,0.000052361043,0.10865317],"genre_scores_gemma":[0.959897,0.0015378897,0.00074495433,0.01894833,0.0001541266,0.000067499954,0.00006089349,0.000020930063,0.0185685],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9900321,0.0016536512,0.000115309274,0.00030517296,0.0010434411,0.006850384],"domain_scores_gemma":[0.95317316,0.0039090933,0.0010635082,0.00053598493,0.0056033456,0.035714976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008525044,0.0001992819,0.00034318597,0.0007955589,0.021441333,0.0104642995,0.0027966083,0.0039526206,0.010656014],"category_scores_gemma":[0.016441982,0.0002648798,0.00031388685,0.0012924703,0.0069844685,0.0027635335,0.009882,0.006403821,0.00043931307],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058392686,0.0009961836,0.16242601,0.0007994733,0.0002415556,0.0017930466,0.07547376,0.0018739195,0.0026330568,0.15121627,0.22445558,0.37750718],"study_design_scores_gemma":[0.00019213083,0.00021456524,0.20199908,0.0010837296,0.000100432066,0.0002695911,0.13299333,0.0015611735,0.00078663696,0.019118618,0.6414671,0.00021368268],"about_ca_topic_score_codex":0.94985485,"about_ca_topic_score_gemma":0.98222244,"teacher_disagreement_score":0.057253115,"about_ca_system_score_codex":0.057253115,"about_ca_system_score_gemma":0.40775752,"threshold_uncertainty_score":0.41540235},"labels":[],"label_agreement":null},{"id":"W805622981","doi":"10.1007/s10584-015-1460-9","title":"Ice storm frequencies in a warmer climate","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University; University of Wyoming; National Science Foundation","keywords":"Storm; Climate change; Environmental science; Climatology; Precipitation; Winter storm; Physical geography; Atmospheric sciences; Geography; Geology; Meteorology; Oceanography","score_opus":0.10723475201081624,"score_gpt":0.2657216150465425,"score_spread":0.1584868630357263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W805622981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976775,0.00006100971,0.00014466725,0.00010404313,0.000027189586,0.0000023471848,0.0006821292,0.000009666477,0.0012914216],"genre_scores_gemma":[0.9988299,0.00005404019,0.0000908486,0.000048817143,0.000044805078,0.000003952335,0.0005323245,0.000007015086,0.00038823945],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999112,0.000011548832,0.000006686399,0.000022440387,0.000008461781,0.00003966114],"domain_scores_gemma":[0.99964654,0.00007901174,0.00010411801,0.000025953801,0.000061865685,0.000082485974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020102832,0.00011256871,0.00023523717,0.00053260865,0.0005013365,0.0006844746,0.00014565159,0.00039064873,0.004082077],"category_scores_gemma":[0.0005922895,0.00008553202,0.00022986236,0.00062926783,0.0002811996,0.00046425287,0.00033826582,0.00037232734,0.00032843833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001190011,0.00020726379,0.95551765,0.000093001174,0.00015489003,0.00056555204,0.0009164743,0.009085509,0.01834989,0.000993988,0.0025467651,0.010378981],"study_design_scores_gemma":[0.000008077971,0.000029657105,0.9973629,0.000003486849,0.000014187668,0.000047552592,0.00034374805,0.0010134501,0.00036052323,0.0000782556,0.00073248585,0.0000055621895],"about_ca_topic_score_codex":0.017861942,"about_ca_topic_score_gemma":0.023493053,"teacher_disagreement_score":0.017861942,"about_ca_system_score_codex":0.00039106773,"about_ca_system_score_gemma":0.0002113416,"threshold_uncertainty_score":0.035515904},"labels":[],"label_agreement":null}]}