{"meta":{"query_hash":"1aae5d06111f","filters":{"venue":"Journal of Earth Science & Climatic Change"},"cohort_total":9,"direct_labels_cover":0,"predictions_cover":9,"exported":9,"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/1aae5d06111f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Earth+Science+%26+Climatic+Change"},"results":[{"id":"W2314856685","doi":"10.4172/2157-7617.1000213","title":"Beekeeping as Integrated Watershed Conservation and Climatic Change Adaptation: An Action Research in Boredo Watershed","year":2014,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Bee Products Chemical Analysis","field":"Agricultural and Biological 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":"International Development Research Centre","keywords":"Beekeeping; Watershed; Livelihood; Agroforestry; Soil conservation; Watershed area; Watershed management; Honey bee; Business; Agriculture; Geography; Ecology; Biology","score_opus":0.292284508875565,"score_gpt":0.3565934354570966,"score_spread":0.06430892658153159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314856685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807113,0.00006246847,0.000065510045,0.00016911262,0.0000041400463,0.00005129595,0.000018441691,0.0000014339403,0.0015563295],"genre_scores_gemma":[0.9980368,0.0001992185,0.00073937344,0.00008859105,0.0000037152597,0.00004315179,0.000023121422,7.954469e-7,0.000865287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929965,0.00035821286,0.000017205355,0.00008941667,0.00006940704,0.00016606481],"domain_scores_gemma":[0.9992281,0.00022642847,0.0001648723,0.000039458075,0.00010254341,0.00023852587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002198804,0.00027225947,0.0002372375,0.00044053092,0.003313884,0.0014192254,0.00059374695,0.0004711306,0.0008252048],"category_scores_gemma":[0.0012688193,0.00011796688,0.0002404759,0.00050781685,0.0012766096,0.0008873837,0.00065252325,0.000576197,0.000035875528],"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":[0.0010091861,0.015654419,0.6961373,0.0003926862,0.00017409629,0.0029101681,0.13320784,0.0012130229,0.017507302,0.0075263595,0.0022244959,0.122042984],"study_design_scores_gemma":[0.00007637913,0.002270353,0.76993614,0.00008545968,0.00010266865,0.00021225392,0.21393424,0.0010549381,0.0009354383,0.00068369316,0.010683888,0.00002459929],"about_ca_topic_score_codex":0.11630287,"about_ca_topic_score_gemma":0.41146234,"teacher_disagreement_score":0.11630287,"about_ca_system_score_codex":0.005027061,"about_ca_system_score_gemma":0.0039954404,"threshold_uncertainty_score":0.23125184},"labels":[],"label_agreement":null},{"id":"W2327246080","doi":"10.4172/2157-7617.1000164","title":"Effects of Climate Change on Invasion Potential Distribution of Lantana camara","year":2013,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":19,"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":"Lantana camara; Lantana; HadCM3; Climate change; Distribution (mathematics); Ecology; Species distribution; Geography; Environmental resource management; Environmental science; Biology; General Circulation Model; Habitat; GCM transcription factors","score_opus":0.024808326385739297,"score_gpt":0.24613626820481646,"score_spread":0.22132794181907717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327246080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944267,0.0003434718,0.00030026105,0.00022677908,0.000007765483,0.000008039893,0.00042182874,0.000021995183,0.004243099],"genre_scores_gemma":[0.99929094,0.00014409905,0.00015149877,0.0000106609305,0.0000024720491,0.000009373579,0.00020273527,0.000003524343,0.0001845975],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980074,0.000086280466,0.000008024171,0.000032953514,0.000026716056,0.00004537599],"domain_scores_gemma":[0.999418,0.00028404535,0.000112587026,0.000028976632,0.00010823528,0.00004821328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044687602,0.0002819443,0.00016295534,0.0007269529,0.0004406922,0.0011803028,0.00046520043,0.0002763499,0.002180931],"category_scores_gemma":[0.0013567132,0.000117058,0.000577992,0.000909688,0.00033146283,0.00061279343,0.0005300026,0.00027167448,0.00011144567],"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":[0.0005099196,0.000079875754,0.8206872,0.00020351792,0.00031348286,0.0013795667,0.0011907498,0.1507215,0.0036697618,0.0041371733,0.0013344627,0.01577279],"study_design_scores_gemma":[0.000041795287,0.00016816151,0.8339221,0.000075107135,0.00014386799,0.00050534075,0.0024361103,0.15377936,0.001311016,0.0015837015,0.00595953,0.00007403402],"about_ca_topic_score_codex":0.063467704,"about_ca_topic_score_gemma":0.096574455,"teacher_disagreement_score":0.063467704,"about_ca_system_score_codex":0.0020709676,"about_ca_system_score_gemma":0.0005837142,"threshold_uncertainty_score":0.12619656},"labels":[],"label_agreement":null},{"id":"W2512409149","doi":"10.4172/2157-7617.1000364","title":"Explaining Climate Variability Vis-A-Vis Spatio-Temporal Interactions in Bangladeshi Exclusive Economic Zone (BEEZ)","year":2016,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Marine and fisheries research","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":"University of Windsor","keywords":"Pelagic zone; Proxy (statistics); Sea surface temperature; Productivity; Oceanography; Environmental science; Fish <Actinopterygii>; Climatology; Geography; Climate change; Fishery; Physical geography; Biology; Geology; Statistics; Mathematics","score_opus":0.049117557606660714,"score_gpt":0.3087720084548042,"score_spread":0.2596544508481435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512409149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969146,0.00016801807,0.00041073968,0.00014615452,0.0000026637524,0.000009156104,0.001148533,0.000017007507,0.001183113],"genre_scores_gemma":[0.998575,0.00015149,0.00029179972,0.000008211918,0.0000032187784,0.000011035536,0.0006935483,0.000004838115,0.00026094646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998964,0.000020234887,0.000007711107,0.00002482545,0.000012649995,0.000038113183],"domain_scores_gemma":[0.99972326,0.00008868719,0.000079069825,0.000019799547,0.000041655065,0.000047479076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020735692,0.0002989663,0.00018388624,0.0010858796,0.00034278605,0.001000026,0.00027382764,0.00030344084,0.0016972092],"category_scores_gemma":[0.0006908617,0.00015304361,0.0003193028,0.0019235362,0.00019263371,0.00037339263,0.0006244938,0.00022379948,0.00024169347],"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":[0.000085967884,0.00003692735,0.96984094,0.00004332088,0.00010559577,0.0006992382,0.00060716324,0.009077559,0.0045542284,0.00067785045,0.00075572776,0.01351542],"study_design_scores_gemma":[0.0000083577,0.000016818303,0.98092043,0.000013037951,0.000030169882,0.00006270368,0.0012731059,0.015965866,0.00025299776,0.00021004073,0.0012326721,0.000013719306],"about_ca_topic_score_codex":0.1438376,"about_ca_topic_score_gemma":0.13030732,"teacher_disagreement_score":0.1438376,"about_ca_system_score_codex":0.00085191656,"about_ca_system_score_gemma":0.0004341595,"threshold_uncertainty_score":0.28600073},"labels":[],"label_agreement":null},{"id":"W2531848160","doi":"","title":"A study of temporal variability of atmospheric total gaseous mercury in Windsor, Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"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":"Windsor; Mercury (programming language); Environmental science; Environmental chemistry; Atmospheric sciences; Geology; Chemistry; Soil science; Computer science","score_opus":0.012696247277599123,"score_gpt":0.21505573261095026,"score_spread":0.20235948533335113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531848160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99461347,0.00028951204,0.00012050337,0.00016783466,0.000010390116,0.00003435712,0.0023535795,0.000007918816,0.0024022907],"genre_scores_gemma":[0.9940625,0.00030131172,0.00025953053,0.00007182949,0.000007251346,0.000021779788,0.0015530514,0.000008764302,0.0037139321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995877,0.000031463675,0.000029042088,0.000083486804,0.00013554271,0.00013275347],"domain_scores_gemma":[0.9989864,0.00009429148,0.00012907245,0.000030987136,0.0005785268,0.00018067133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038916434,0.00033485112,0.00037572504,0.0010810981,0.00348313,0.0013677634,0.000926158,0.0004663459,0.0016303958],"category_scores_gemma":[0.00094812794,0.000381912,0.0004000438,0.003243297,0.00069719076,0.00046709378,0.00068154704,0.00049351726,0.00024377403],"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":[0.0003263485,0.000081664344,0.97973126,0.00007495385,0.00015909961,0.00034449899,0.005861478,0.00054096035,0.0032535503,0.0002712515,0.0016957376,0.007659206],"study_design_scores_gemma":[0.000006974183,0.000015145422,0.9958948,0.000009609478,0.000020770016,0.000027590717,0.0019391383,0.00025783078,0.00013758006,0.000011521677,0.0016696356,0.000009251777],"about_ca_topic_score_codex":0.9968765,"about_ca_topic_score_gemma":0.99840707,"teacher_disagreement_score":0.021345023,"about_ca_system_score_codex":0.021345023,"about_ca_system_score_gemma":0.021596333,"threshold_uncertainty_score":0.15486968},"labels":[],"label_agreement":null},{"id":"W2597193991","doi":"","title":"Climatological influences on the interannual and seasonal variations of fine particulate matter (PM2.5) cross Southern Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"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":"Particulates; Environmental science; Climatology; Seasonality; Atmospheric sciences; Physical geography; Oceanography; Geology; Geography; Ecology; Biology","score_opus":0.024441515433623384,"score_gpt":0.23072542371749927,"score_spread":0.20628390828387588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597193991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868477,0.00088312797,0.00011364786,0.000930098,0.000030527583,0.0000254299,0.0038804493,0.00001801672,0.00727115],"genre_scores_gemma":[0.9940293,0.00039692814,0.00012135505,0.00008145326,0.000006552076,0.000008990445,0.00073813426,0.0000108299755,0.0046066367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957496,0.000032509175,0.000024093335,0.000080416496,0.000107201704,0.00018081172],"domain_scores_gemma":[0.9980469,0.00014870596,0.00025309203,0.000046506968,0.001151997,0.00035281325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034627822,0.00021897157,0.0002572175,0.0011415618,0.0031977512,0.0012531738,0.00055500865,0.00027042965,0.003339201],"category_scores_gemma":[0.0012692846,0.00030625213,0.00035482447,0.002229345,0.00074044464,0.00034557626,0.00072827283,0.00041216682,0.00028850578],"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":[0.00016600877,0.000029723482,0.98197913,0.000071286675,0.00010548819,0.00020633642,0.003591356,0.0004985293,0.0015101756,0.00061873626,0.003958117,0.007265197],"study_design_scores_gemma":[0.000004426108,0.0000034971981,0.9969421,0.000017741988,0.000011877343,0.000014729666,0.001233298,0.00013284136,0.000053080654,0.000021458593,0.0015586246,0.00000625556],"about_ca_topic_score_codex":0.9981704,"about_ca_topic_score_gemma":0.9994506,"teacher_disagreement_score":0.026534848,"about_ca_system_score_codex":0.026534848,"about_ca_system_score_gemma":0.029027944,"threshold_uncertainty_score":0.19252467},"labels":[],"label_agreement":null},{"id":"W2597775882","doi":"","title":"Economic consequences of climate change impacts on road transportation network in Atlantic Canada","year":2016,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"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":"Climate change; Economic impact analysis; Geography; Physical geography; Environmental resource management; Geology; Oceanography; Environmental science; Engineering; Civil engineering","score_opus":0.042930218391816606,"score_gpt":0.2974564684481013,"score_spread":0.2545262500562847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597775882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9536959,0.0006885787,0.00021084497,0.012359548,0.00006691542,0.000037075075,0.0042985347,0.000014070996,0.028628478],"genre_scores_gemma":[0.9924499,0.0005223913,0.00008595377,0.00032445666,0.000014387581,0.00000674351,0.00062826584,0.0000059585327,0.0059619006],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981317,0.00012437666,0.00005996387,0.00010916905,0.00043870107,0.0011360807],"domain_scores_gemma":[0.9961248,0.00038214578,0.000542129,0.00007712576,0.0018049541,0.0010689375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086962135,0.00019415094,0.00037357653,0.0014542949,0.003954643,0.0049489415,0.0014289368,0.0012714838,0.007319684],"category_scores_gemma":[0.0043105274,0.0002895137,0.00081180444,0.0038076818,0.0017765496,0.0011195526,0.0018795916,0.001952915,0.00026806106],"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":[0.00042889424,0.0002112736,0.8535079,0.000114398026,0.00037040756,0.0011593748,0.0028215817,0.032318477,0.0006892567,0.06191765,0.027147403,0.019313436],"study_design_scores_gemma":[0.00005896118,0.000037018068,0.9261614,0.000102285645,0.00020915362,0.00012038422,0.014742196,0.02130657,0.0003579507,0.0048891823,0.03192439,0.00009041943],"about_ca_topic_score_codex":0.9978551,"about_ca_topic_score_gemma":0.9991093,"teacher_disagreement_score":0.11572302,"about_ca_system_score_codex":0.11572302,"about_ca_system_score_gemma":0.088187285,"threshold_uncertainty_score":0.8396332},"labels":[],"label_agreement":null},{"id":"W2619722533","doi":"","title":"Comparison of the temporal variability of summer temperatures, rainfall and streamflows in southern Quebec during the 1950-2010 period","year":2016,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"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":"Period (music); Climatology; Geology; Physical geography; Environmental science; Geography","score_opus":0.02682454851479373,"score_gpt":0.26522101682717575,"score_spread":0.238396468312382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619722533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99117106,0.0007645346,0.000085559404,0.0002274712,0.000012344176,0.000009366116,0.005590577,0.000016843549,0.0021223405],"genre_scores_gemma":[0.995082,0.00028302564,0.000086709435,0.000047590078,0.0000074510094,0.0000066418324,0.0029285527,0.0000038072512,0.001554235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998172,0.000015410973,0.000015271049,0.00004436373,0.00003803787,0.00006976334],"domain_scores_gemma":[0.99907744,0.000108638655,0.00015040781,0.00002546414,0.0004786469,0.00015936975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036236114,0.00019444588,0.00017836313,0.0014763584,0.00083698303,0.00090516265,0.00048350214,0.00040487788,0.0020789397],"category_scores_gemma":[0.00096342526,0.00015001769,0.00027655312,0.0028105609,0.00038403244,0.0003276499,0.00037218735,0.00035244317,0.00018232194],"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":[0.00015814444,0.000027121094,0.98814607,0.00003615092,0.00012549412,0.00013820859,0.0006605405,0.00068121584,0.0006306273,0.00015490339,0.0020231465,0.0072184484],"study_design_scores_gemma":[0.0000016561685,0.0000038737276,0.9987381,0.0000061502265,0.000008718605,0.000010623811,0.00018042652,0.00022558414,0.000023939325,0.0000039187357,0.0007943683,0.0000027526848],"about_ca_topic_score_codex":0.98795474,"about_ca_topic_score_gemma":0.99431545,"teacher_disagreement_score":0.012124887,"about_ca_system_score_codex":0.012124887,"about_ca_system_score_gemma":0.0061427713,"threshold_uncertainty_score":0.08797258},"labels":[],"label_agreement":null},{"id":"W2786185221","doi":"","title":"Economic consequences of floods in Atlantic Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"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; Oceanography","score_opus":0.06520143088640702,"score_gpt":0.33578163932541305,"score_spread":0.27058020843900604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786185221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9551302,0.000938618,0.00012842118,0.016825503,0.00007283355,0.000018845201,0.0028903242,0.000012873036,0.023982309],"genre_scores_gemma":[0.99465877,0.0007025708,0.00004207057,0.0003301705,0.000018757934,0.0000035167018,0.00039084902,0.000005006647,0.0038482489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987374,0.000080271755,0.000041654606,0.00005787771,0.00027814414,0.0008046571],"domain_scores_gemma":[0.99667114,0.00035675705,0.0005452785,0.00006833166,0.0012600345,0.0010985722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073989236,0.00018511468,0.00038839938,0.001500492,0.0042441837,0.004782511,0.0012180432,0.0014942205,0.005089925],"category_scores_gemma":[0.0042400546,0.00027924395,0.0005535088,0.0032678687,0.0020549821,0.0009611593,0.0018981745,0.0019163952,0.0002035463],"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":[0.00062638416,0.0001840481,0.84879404,0.00013979012,0.00038787324,0.0013969163,0.0041274284,0.0252518,0.0006475,0.06192513,0.031637713,0.024881333],"study_design_scores_gemma":[0.00008173882,0.000035052788,0.9268533,0.00012271597,0.00017250904,0.00014815324,0.015948897,0.014165734,0.00025913696,0.008362045,0.03373607,0.000114646406],"about_ca_topic_score_codex":0.9965553,"about_ca_topic_score_gemma":0.9986578,"teacher_disagreement_score":0.08860615,"about_ca_system_score_codex":0.08860615,"about_ca_system_score_gemma":0.06935731,"threshold_uncertainty_score":0.6428856},"labels":[],"label_agreement":null},{"id":"W2918825452","doi":"","title":"Climate change in the cool climate wine regions of Canada: Risks, opportunities and adaptive strategies","year":2018,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"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":"Climate change; Wine; Climatology; Meteorology; Environmental science; Physical geography; Geography; Geology; Biology; Oceanography","score_opus":0.2856678491939862,"score_gpt":0.34598557729195695,"score_spread":0.06031772809797076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918825452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883388,0.0022250656,0.00010474437,0.0036122925,0.000023743663,0.0000135073315,0.0005487909,0.0000060095363,0.005126932],"genre_scores_gemma":[0.99798656,0.0009992031,0.000056472763,0.00011934916,0.0000060498696,0.0000022906702,0.000120641824,0.0000023761684,0.0007070675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995309,0.000052235268,0.000010065898,0.000036569592,0.000052137268,0.00031808155],"domain_scores_gemma":[0.99939287,0.00005352517,0.00011354623,0.000014469566,0.00019892135,0.00022667994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033584845,0.00019945623,0.00024881653,0.00089777977,0.0030109803,0.0020387133,0.00060352474,0.0005855799,0.0016392736],"category_scores_gemma":[0.0009406561,0.00014204856,0.00034331097,0.002169028,0.0012841008,0.00063723314,0.0013801693,0.00066878134,0.00007077682],"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":[0.00026924847,0.00006208876,0.961769,0.00008187154,0.0001711196,0.00045965496,0.004954335,0.0010736109,0.0008241769,0.0031455557,0.0022295963,0.024959689],"study_design_scores_gemma":[0.000006776243,0.00001648559,0.9808608,0.00005330894,0.000042114578,0.00006950257,0.013515891,0.0007185762,0.00008823996,0.0006382807,0.0039682393,0.000021643402],"about_ca_topic_score_codex":0.98648953,"about_ca_topic_score_gemma":0.99502254,"teacher_disagreement_score":0.019370997,"about_ca_system_score_codex":0.019370997,"about_ca_system_score_gemma":0.02431321,"threshold_uncertainty_score":0.1405471},"labels":[],"label_agreement":null}]}