{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":29,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":29,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"05017527d929","filters":{"venue":"93rd American Meteorological Society Annual Meeting"}},"results":[{"id":"W2786362895","doi":"","title":"Trajectory-Based Weather-ATM Integration at the Florida NextGen Testbed","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Testbed; Computer science; Meteorology; Trajectory; Air traffic control; Aeronautics; Real-time computing; Geography; Computer network; Engineering; Cartography","authors":[{"name":"Robert Avjian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0158806175218345,"gpt":0.2659066363299272,"spread":0.2500260188080927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007103725,0.0006189381,0.0004635866,0.0004336412,0.0005789972,0.0006306773,0.0009022089,0.0004167654,0.007071519],"category_scores_gemma":[0.001049736,0.000220272,0.0002210371,0.0005631507,0.000251755,0.001032141,0.0006193724,0.0006879308,0.000930547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008839854,"about_ca_system_score_gemma":0.001148443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04823933,"about_ca_topic_score_gemma":0.05533402,"domain_scores_codex":[0.9997064,0.00007075842,0.000007170117,0.00006701757,0.00007884741,0.00006965589],"domain_scores_gemma":[0.9996787,0.0000570104,0.0000166503,0.00006056907,0.0001128895,0.00007413445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002996281,0.001102781,0.0307268,0.0001532348,0.0003013097,0.0005466918,0.0004342581,0.699573,0.04296324,0.008249653,0.0992489,0.1137039],"study_design_scores_gemma":[0.0001548409,0.000116425,0.004331325,0.00000497027,0.00001993312,0.00001841723,0.00007487202,0.983858,0.00520235,0.001084641,0.005113528,0.0000206484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8630817,0.0002535693,0.06748926,0.001269138,0.0005375677,0.0002441093,0.01235487,0.02513563,0.02963411],"genre_scores_gemma":[0.9612767,0.00004910319,0.02707402,0.00007995091,0.00002738287,0.00004896599,0.008896042,0.0004209894,0.002126817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04823933,"threshold_uncertainty_score":0.09591705,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2787450218","doi":"","title":"The Sensitivity of Potential Wind Power Output to Vertical Turbulent Flux Parameterization Schemes for Stable Boundary Layers","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Sensitivity (control systems); Turbulence; Flux (metallurgy); Boundary (topology); Mechanics; Power (physics); Wind power; Meteorology; Physics; Control theory (sociology); Mathematical analysis; Mathematics; Environmental science; Geometry; Atmospheric sciences; Computer science; Engineering; Materials science; Electrical engineering; Thermodynamics; Electronic engineering","authors":[{"name":"Mike Optis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008884719421644763,"gpt":0.2272728157570989,"spread":0.2183880963354541,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002047041,0.0004789191,0.0003853468,0.0003184109,0.0003923121,0.0009387915,0.0004226396,0.0008588904,0.0009380526],"category_scores_gemma":[0.01632504,0.0003572684,0.0003858949,0.0003134885,0.0007990017,0.001556744,0.0009584712,0.0009013505,0.0001169916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004156952,"about_ca_system_score_gemma":0.0003402099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002909704,"about_ca_topic_score_gemma":0.001517254,"domain_scores_codex":[0.9995521,0.0002347658,0.00003092023,0.00004262774,0.00008879539,0.00005091893],"domain_scores_gemma":[0.99226,0.006383592,0.0003471416,0.000454829,0.000444952,0.0001093737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009604463,0.0001455771,0.008530806,0.0001306518,0.00006106234,0.0001069102,0.0001401559,0.9228718,0.03839076,0.006389144,0.000383273,0.02188933],"study_design_scores_gemma":[0.00001441815,0.00004108234,0.001007026,0.000006345254,0.000004965499,0.000004935514,0.00001129584,0.9928707,0.005439255,0.0005525063,0.00004091176,0.000006559604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.910169,0.0002855147,0.08573265,0.0003446638,0.00007420396,0.00005663436,0.0001210849,0.0002778036,0.002938485],"genre_scores_gemma":[0.9945957,0.00005510696,0.004897772,0.00002257456,0.000006461592,0.00001289717,0.00005086597,0.0000608451,0.0002978443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002909704,"threshold_uncertainty_score":0.01082593,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2786363381","doi":"","title":"The Influence of Boundary Layer Processes and Gestrophic Winds on the Diurnal Variation of the Climatological Near-Surface Winds Distribution over Land","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Diurnal temperature variation; Variation (astronomy); Atmospheric sciences; Planetary boundary layer; Climatology; Boundary layer; Environmental science; Distribution (mathematics); Meteorology; Prevailing winds; Diurnal cycle; Seasonality; Geology; Geography; Physics; Mathematics; Mechanics","authors":[{"name":"Yanping He","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0109939923028209,"gpt":0.2193517568425196,"spread":0.2083577645396987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000346699,0.0001941017,0.0002326504,0.0002867283,0.00034379,0.0005492627,0.000181292,0.0004584813,0.001700674],"category_scores_gemma":[0.00197022,0.0002539626,0.0004298364,0.0002306657,0.0003291329,0.0005072953,0.0003277071,0.0003274291,0.0002372368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003658505,"about_ca_system_score_gemma":0.0003411244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02185711,"about_ca_topic_score_gemma":0.02747937,"domain_scores_codex":[0.9998838,0.00003164938,0.000008571675,0.0000279858,0.00001502532,0.00003295285],"domain_scores_gemma":[0.9990097,0.000574397,0.00009173671,0.00006493863,0.0001081639,0.0001510853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001579508,0.0002984036,0.8527074,0.0001233021,0.0004855205,0.0009259753,0.0004659797,0.06090288,0.06259409,0.00130072,0.001449416,0.01716673],"study_design_scores_gemma":[0.00003153703,0.0000486502,0.9658738,0.000008454403,0.00005462137,0.0000611791,0.0001019539,0.03256618,0.0008581344,0.000111476,0.0002696426,0.00001447775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986779,0.00006600604,0.0001415387,0.00007532248,0.00001344775,0.000002638998,0.0001957098,0.00001082025,0.0008165733],"genre_scores_gemma":[0.9994559,0.00005363923,0.00003870621,0.00001065834,0.000009140222,0.000001620488,0.0001601793,0.000007216031,0.000262933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02185711,"threshold_uncertainty_score":0.04345977,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3037837238","doi":"","title":"The Temporal Autocorrelation Structure of Sea Surface Winds","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Extratropical cyclone; Thermal wind; Geology; Zonal and meridional; Scatterometer; Climatology; Global wind patterns; Atmospheric sciences; Wind stress; Meteorology; Wind speed; Wind shear; Physics; Oceanography","authors":[{"name":"Adam H. Monahan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006289954959204334,"gpt":0.2030482194605237,"spread":0.1967582645013193,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074943,0.0001104089,0.0000852441,0.000941077,0.0001882248,0.0005369459,0.0001225908,0.0001347892,0.001179643],"category_scores_gemma":[0.005764252,0.0001193648,0.000144454,0.0008609347,0.0002201871,0.0004014774,0.0002069068,0.0001907795,0.0002099976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004419785,"about_ca_system_score_gemma":0.0004309691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01612926,"about_ca_topic_score_gemma":0.01773318,"domain_scores_codex":[0.9997744,0.00004442411,0.00001723118,0.00004959347,0.00007025166,0.00004411107],"domain_scores_gemma":[0.9970419,0.001072675,0.0007172677,0.0002302218,0.0008395272,0.00009836746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000188285,0.00004262856,0.8612587,0.00004986445,0.000150675,0.000429049,0.0002170157,0.06601462,0.007138093,0.01774235,0.002051417,0.04471727],"study_design_scores_gemma":[0.00000808277,0.00004548612,0.8132896,0.00003188102,0.00004170874,0.0002030502,0.0001333192,0.1779557,0.00118474,0.00474404,0.002336087,0.00002634252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797814,0.0004647888,0.0129935,0.0002221094,0.00002732898,0.000007993062,0.0008981987,0.00007382712,0.00553078],"genre_scores_gemma":[0.9985934,0.00009443298,0.0004339141,0.000006474665,0.00001219361,0.000002751522,0.0003883378,0.000008174392,0.0004604619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01612926,"threshold_uncertainty_score":0.03207076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2787261542","doi":"","title":"Consequences and Trend Implications of a Prolonged Dry Spell in Southern Coastal British Columbia of Canada","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Geography; Climatology; Oceanography; Geology","authors":[{"name":"Chris Doyle","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005573884469674947,"gpt":0.1897675659418247,"spread":0.1841936814721497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003147172,0.0002430353,0.0002995318,0.001415691,0.003309515,0.00182773,0.0009542211,0.0006491748,0.003231973],"category_scores_gemma":[0.001862141,0.0002113684,0.0002639508,0.004193338,0.0009147762,0.000418262,0.0009433397,0.0009148464,0.0002284431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02301964,"about_ca_system_score_gemma":0.02801782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971786,"about_ca_topic_score_gemma":0.9989449,"domain_scores_codex":[0.999673,0.00002048123,0.00002575406,0.00005350618,0.00007019578,0.0001571255],"domain_scores_gemma":[0.9980679,0.00008397506,0.0002919535,0.00004286295,0.001062947,0.0004503303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001926739,0.00004878318,0.9753015,0.00007703387,0.0001247648,0.0007603239,0.00293633,0.001059336,0.0009803673,0.0004122756,0.004691641,0.01341515],"study_design_scores_gemma":[0.000006869771,0.000006359113,0.9917709,0.00003201635,0.00002449185,0.00003832126,0.005531449,0.0003736927,0.000044968,0.00005451361,0.002104799,0.00001163196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926345,0.0005176695,0.00004546327,0.001489622,0.00003285808,0.00001023856,0.002008093,0.0000119234,0.003249568],"genre_scores_gemma":[0.9969668,0.000433324,0.00006596023,0.0001584072,0.000007585364,0.00000511484,0.0006672502,0.000006439156,0.001689146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02301964,"threshold_uncertainty_score":0.16702,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2786423254","doi":"","title":"NOAA’s – Suomi-NPP Data Exploitation (NDE) – Product Algorithm Integration Made Simple","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Simple (philosophy); Product (mathematics); Algorithm; Computer science; Mathematics","authors":[{"name":"Dylan Powell","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03883103411580178,"gpt":0.2664158122812492,"spread":0.2275847781654474,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001155497,0.0007898697,0.0006123806,0.0005972543,0.001108882,0.001580397,0.001585774,0.0006773004,0.01461325],"category_scores_gemma":[0.004951093,0.0006717117,0.0007356062,0.0009611538,0.0003707204,0.002208159,0.001156605,0.001984687,0.005128031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008960291,"about_ca_system_score_gemma":0.002712396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03967604,"about_ca_topic_score_gemma":0.0413981,"domain_scores_codex":[0.9993279,0.00007778216,0.00005267086,0.0001442232,0.0003156869,0.00008175276],"domain_scores_gemma":[0.9977042,0.0002284678,0.00003673181,0.0005437892,0.001419675,0.00006715921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006274483,0.0003855393,0.01040829,0.0002762472,0.0003931704,0.0002522591,0.0005350797,0.2317618,0.03529667,0.0692053,0.2329956,0.4178625],"study_design_scores_gemma":[0.0001507194,0.00005216484,0.004141428,0.0000400619,0.00005787054,0.0001079983,0.0001072724,0.6529013,0.03736521,0.01817704,0.2867956,0.0001033078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08032747,0.0002084211,0.7263413,0.001807736,0.002484126,0.0003687332,0.01817431,0.02715747,0.1431305],"genre_scores_gemma":[0.3341214,0.0001498055,0.6021315,0.0004290331,0.0002210241,0.0004056195,0.01578443,0.008864721,0.03789256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03967604,"threshold_uncertainty_score":0.0788902,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885774622","doi":"","title":"Approximated Equations of Urban Climate by Scale Analysis","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Scale (ratio); Scale analysis (mathematics); Environmental science; Climatology; Geography; Meteorology; Econometrics; Mathematics; Geology; Cartography","authors":[{"name":"Ali Gholizadeh Touchaei","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02727961271086843,"gpt":0.317862222642241,"spread":0.2905826099313726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006547238,0.000440922,0.0006325998,0.0006622754,0.0004464066,0.0009801488,0.001522501,0.001012907,0.004592959],"category_scores_gemma":[0.00505366,0.0004731047,0.000877195,0.0008375324,0.0008305577,0.002062218,0.001109413,0.001102163,0.0005707655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656122,"about_ca_system_score_gemma":0.0008978897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229888,"about_ca_topic_score_gemma":0.0173841,"domain_scores_codex":[0.999687,0.0001138654,0.00001665431,0.0000535961,0.00008671277,0.00004221934],"domain_scores_gemma":[0.9990364,0.000425663,0.00007379938,0.000116903,0.0002983257,0.0000488756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005229097,0.00001190926,0.0008729724,0.00003516485,0.00001484764,0.00005401746,0.0001136415,0.7385313,0.0005810787,0.2526876,0.002026313,0.005065867],"study_design_scores_gemma":[0.000002227932,0.000001129497,0.000192228,0.000003092526,0.000002724807,0.00001130157,0.00001425176,0.9730482,0.0000560802,0.02569799,0.0009653518,0.000005550754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.050655,0.0007778908,0.9153064,0.001001616,0.0003335979,0.00006615888,0.0006802725,0.0002538144,0.03092529],"genre_scores_gemma":[0.854091,0.0009032805,0.1114967,0.0003032156,0.0002924783,0.0002048246,0.0004510142,0.0004255534,0.03183182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02229888,"threshold_uncertainty_score":0.04433817,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981196952","doi":"","title":"Extreme Learning Machines for Environmental Problems","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence","authors":[{"name":"Aranildo R. Lima","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01332123744720106,"gpt":0.2273657315388324,"spread":0.2140444940916313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001692793,0.0006076197,0.001226661,0.0007729874,0.0004989072,0.001214469,0.001352529,0.001744199,0.003736472],"category_scores_gemma":[0.006420076,0.000389927,0.0007181663,0.001379079,0.0009719409,0.001472579,0.001646269,0.003115848,0.0007018619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005384802,"about_ca_system_score_gemma":0.0005303144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001552513,"about_ca_topic_score_gemma":0.001493687,"domain_scores_codex":[0.999247,0.0004197104,0.0000386347,0.00009848437,0.0001499628,0.00004626147],"domain_scores_gemma":[0.9973541,0.002041699,0.0001397619,0.0001771652,0.0002208735,0.0000663268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005284756,0.00007260811,0.0005691019,0.0001982276,0.00009137773,0.00007158311,0.00007233518,0.7057893,0.0004555086,0.1336838,0.009005006,0.1499383],"study_design_scores_gemma":[0.00001144217,0.00001032725,0.000135504,0.00001291226,0.000005731509,0.00001049341,0.000006154761,0.8177242,0.0000928865,0.179741,0.002243844,0.000005395347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0065605,0.003596622,0.9842694,0.0009879636,0.0001685281,0.00002230636,0.00007916265,0.0002231281,0.004092368],"genre_scores_gemma":[0.4976603,0.004827586,0.4711301,0.0006177592,0.001466923,0.0004131124,0.0008194172,0.0002919151,0.02277286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003736472,"threshold_uncertainty_score":0.01249975,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884027662","doi":"","title":"The Gaussian Predictability of Wind Speeds","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Predictability; Meteorology; Environmental science; Computer science; Climatology; Mathematics; Statistics; Geography; Geology","authors":[{"name":"Adam H. Monahan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007250975611387194,"gpt":0.2194482649082563,"spread":0.2121972892968691,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001441269,0.0002801533,0.0005168395,0.0006795689,0.0003959123,0.001491086,0.0005649714,0.0006830938,0.001099695],"category_scores_gemma":[0.01695832,0.0005158271,0.0004525746,0.0007926214,0.001269424,0.002857499,0.000865496,0.001168888,0.0001977154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000617569,"about_ca_system_score_gemma":0.0006924473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006491852,"about_ca_topic_score_gemma":0.00355898,"domain_scores_codex":[0.9996377,0.00007792204,0.00001668026,0.00008781061,0.0001030047,0.00007688396],"domain_scores_gemma":[0.9937033,0.004088189,0.0006647636,0.0006620895,0.0006302411,0.0002513528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002583694,0.00006902641,0.04735274,0.0001079015,0.0001717372,0.0004937887,0.0004057154,0.3878638,0.003762359,0.496755,0.01041112,0.05234841],"study_design_scores_gemma":[0.00001430203,0.00002506648,0.03111447,0.00001741596,0.00003120255,0.00009287747,0.00006175248,0.7700791,0.0004002931,0.1968867,0.001231988,0.00004474523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8141964,0.002073018,0.1616944,0.004807612,0.0005601781,0.0000154169,0.0006294823,0.0003847356,0.01563884],"genre_scores_gemma":[0.9970318,0.000414104,0.001142752,0.00007460567,0.0001891808,0.000003555153,0.0001036758,0.00003228754,0.001007999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006491852,"threshold_uncertainty_score":0.0129081,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2787480243","doi":"","title":"Assimilation of GlobSnow snow water equivalent in the Canadian Land Data Assimilation System","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Data assimilation; Snow; Assimilation (phonology); Environmental science; Meteorology; Climatology; Geography; Geology","authors":[{"name":"Stéphane Bélair","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04063598270652158,"gpt":0.2453652712010951,"spread":0.2047292884945735,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005144108,0.0007081912,0.0006000421,0.0009664987,0.001755126,0.001008206,0.001155639,0.0005237288,0.003144859],"category_scores_gemma":[0.001507623,0.0004207282,0.0007393464,0.002261963,0.0003363422,0.0008702451,0.000587166,0.0008183873,0.001032369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01036489,"about_ca_system_score_gemma":0.02562746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908262,"about_ca_topic_score_gemma":0.9930708,"domain_scores_codex":[0.999588,0.00002175011,0.00001598802,0.0000855018,0.0001800284,0.0001088379],"domain_scores_gemma":[0.9990847,0.00001618943,0.00001982956,0.00005419458,0.0007708541,0.00005435379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001056254,0.0003525398,0.1280914,0.0004918731,0.0009251197,0.000248171,0.0007627432,0.4519366,0.02222866,0.008919992,0.1929153,0.1920714],"study_design_scores_gemma":[0.0003276135,0.0000390036,0.2635261,0.00009342917,0.0002881108,0.00004475502,0.0004299689,0.6558117,0.009553402,0.001502071,0.06815572,0.0002280985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7784522,0.001791256,0.02385747,0.001648276,0.0008183478,0.0003498375,0.1553246,0.004739227,0.03301887],"genre_scores_gemma":[0.8808013,0.0007119838,0.02313945,0.0001791501,0.00004932636,0.0001244109,0.08406219,0.0005068668,0.01042535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01036489,"threshold_uncertainty_score":0.07520288,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3111159367","doi":"","title":"Reformulation of the Drought Code in the Canadian Fire Weather Index System Implemented in New Zealand","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Index (typography); Meteorology; Code (set theory); Geography; Climatology; Environmental science; Computer science; Geology; Programming language","authors":[{"name":"Yang Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008081128983939633,"gpt":0.228795121565818,"spread":0.2207139925818783,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0110191,0.0003254554,0.0003489469,0.002978103,0.00182178,0.002814653,0.001642735,0.0009094918,0.00385797],"category_scores_gemma":[0.03219752,0.0005041997,0.0004460502,0.003945645,0.001150833,0.001316806,0.001363477,0.002191812,0.001018876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0237993,"about_ca_system_score_gemma":0.06379364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9297755,"about_ca_topic_score_gemma":0.9096688,"domain_scores_codex":[0.9924392,0.001139771,0.000934463,0.0007695789,0.003269912,0.001447093],"domain_scores_gemma":[0.9746183,0.001895516,0.001313789,0.002084788,0.01853408,0.001553511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009853092,0.000517283,0.2253414,0.0005065656,0.0001578887,0.0007462332,0.007448566,0.02121838,0.01716678,0.05479464,0.3256043,0.3455127],"study_design_scores_gemma":[0.0002639003,0.0002125943,0.6043145,0.0003880689,0.00009731376,0.0001346933,0.002085129,0.01596671,0.005166748,0.002033324,0.3690526,0.0002843641],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.618305,0.001078503,0.06494681,0.03083598,0.003864236,0.00850544,0.07530911,0.005858562,0.1912964],"genre_scores_gemma":[0.8071686,0.0008197666,0.1031083,0.005718059,0.0003929174,0.002655576,0.02821579,0.001121414,0.05079965],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07022446,"threshold_uncertainty_score":0.1726768,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2807583369","doi":"","title":"Estimation of dry deposition of trace elements and polycyclic aromatic compounds in the Canadian Oil Sands Region","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Oil sands; Environmental science; Environmental chemistry; Deposition (geology); TRACE (psycholinguistics); Mineralogy; Chemistry; Geology; Archaeology; Geography; Asphalt; Paleontology; Sediment","authors":[{"name":"Leiming Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009776331352806202,"gpt":0.2240801442008766,"spread":0.2143038128480704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001820952,0.0005288555,0.0003142701,0.001846363,0.002028125,0.0008745302,0.000761151,0.0003377705,0.0006769903],"category_scores_gemma":[0.0003829724,0.0002955429,0.0003261558,0.001403369,0.0004122319,0.0002669127,0.0003321591,0.0002940794,0.0001699878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01321554,"about_ca_system_score_gemma":0.00904424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896262,"about_ca_topic_score_gemma":0.992077,"domain_scores_codex":[0.9997781,0.00000461116,0.000008252416,0.00004463052,0.0001142651,0.00005015897],"domain_scores_gemma":[0.9997937,0.00001494302,0.00001863255,0.000004978751,0.0001350957,0.00003277254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000426159,0.00009720409,0.9072058,0.0001499454,0.0002483854,0.0003079518,0.0005860966,0.01137659,0.055074,0.0004954384,0.001285885,0.02274661],"study_design_scores_gemma":[0.00000851783,0.00001213087,0.990904,0.000008618284,0.00002211412,0.00002751541,0.0002328532,0.003384649,0.003812079,0.00002409127,0.001550756,0.00001262248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941164,0.0002811479,0.000361442,0.00004442432,0.000007122725,0.00002138492,0.002043409,0.00002513136,0.003099427],"genre_scores_gemma":[0.9955837,0.0003523069,0.0007843955,0.00002455702,0.000003156209,0.00001177145,0.001250199,0.000008124595,0.001981749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01321554,"threshold_uncertainty_score":0.09588593,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2787946877","doi":"","title":"Ice fog (pogonip) and frost in Arctic: application to aviation","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Frost (temperature); Aviation; Meteorology; Arctic; Environmental science; Arctic ice pack; The arctic; Aviation accident; Aeronautics; Climatology; Sea ice; Geology; Engineering; Geography; Oceanography; Aerospace engineering","authors":[{"name":"Ismail Gültepe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004585303220006973,"gpt":0.2092176957025067,"spread":0.2046323924824997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000233885,0.0004101045,0.0002844011,0.001182976,0.0005884432,0.0009169098,0.0002367282,0.0005335794,0.0005876841],"category_scores_gemma":[0.0006903625,0.0001488065,0.0004260273,0.001533668,0.0003033188,0.000281693,0.0003486909,0.0003028117,0.00007809427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000516755,"about_ca_system_score_gemma":0.0005267858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05967871,"about_ca_topic_score_gemma":0.04873234,"domain_scores_codex":[0.999921,0.00001761143,0.000003319881,0.00001557306,0.00002473147,0.00001781592],"domain_scores_gemma":[0.9997519,0.0001184727,0.00002911525,0.00000958539,0.00005228848,0.00003864766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003622496,0.000835527,0.5811293,0.000878443,0.0003689947,0.006231286,0.001373472,0.06738947,0.08659318,0.002643703,0.00319838,0.2457358],"study_design_scores_gemma":[0.0001228378,0.0007768893,0.726875,0.00009508649,0.0003699565,0.001949419,0.001910211,0.23507,0.02491022,0.001543551,0.00626729,0.0001094811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847295,0.00307671,0.004829347,0.0002049643,0.0001441357,0.00005760469,0.0004623863,0.0001055108,0.006389809],"genre_scores_gemma":[0.9926875,0.00259783,0.003458065,0.00004301044,0.00009664807,0.0000105042,0.0001999192,0.00001647133,0.0008901549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05967871,"threshold_uncertainty_score":0.1186627,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2785405190","doi":"","title":"Persistence and Dissipation of Lake Erie- and Lake Ontario-Crossing Mesoscale Convective Systems","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Persistence (discontinuity); Mesoscale meteorology; Dissipation; Environmental science; Convection; Meteorology; Hydrology (agriculture); Oceanography; Climatology; Geology; Geography; Geotechnical engineering; Physics","authors":[{"name":"Augusta Williams","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01611721522243735,"gpt":0.2288872199398637,"spread":0.2127700047174263,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002251223,0.0001182692,0.0002079245,0.0005083942,0.001318488,0.001257965,0.0005392095,0.0003221028,0.001314579],"category_scores_gemma":[0.001836924,0.0001969357,0.0001649924,0.0007772038,0.0007940442,0.0005218656,0.001175707,0.0002435775,0.0001088292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006800121,"about_ca_system_score_gemma":0.00313196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7953263,"about_ca_topic_score_gemma":0.9003838,"domain_scores_codex":[0.999803,0.00001117592,0.00001148012,0.00004462917,0.00003951765,0.00009024699],"domain_scores_gemma":[0.999159,0.00006868284,0.0003004939,0.00004447618,0.0002433047,0.000184017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002815877,0.00003314243,0.9881115,0.00001503994,0.00005858437,0.00006059936,0.003070549,0.0003873914,0.004265691,0.0002353693,0.0002096617,0.003270779],"study_design_scores_gemma":[0.000003938798,0.000007016667,0.9987786,0.000002358428,0.00000652403,0.000008208204,0.0005594665,0.0003952092,0.00007893427,0.00001336558,0.0001432294,0.000003041044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996315,0.00001594161,0.00001230773,0.00001684052,3.55636e-7,0.000001843194,0.00005594257,9.385026e-7,0.0002643431],"genre_scores_gemma":[0.9996905,0.00001142301,0.00001410364,0.000003836036,5.121773e-7,0.000001537551,0.00007903142,6.263059e-7,0.0001984259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7953263,"threshold_uncertainty_score":0.4117581,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2788495794","doi":"","title":"Consistency of low-frequency rotation of surface winds over Canada","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Consistency (knowledge bases); Rotation (mathematics); Geodesy; Meteorology; Environmental science; Geography; Geology; Climatology; Atmospheric sciences; Mathematics; Geometry","authors":[{"name":"Vladimir Y. Korolevych","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009999316170297113,"gpt":0.2108184131349076,"spread":0.2008190969646105,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009495938,0.0002715018,0.0004557075,0.001193723,0.001511631,0.002153993,0.000910171,0.00059251,0.00228157],"category_scores_gemma":[0.007463013,0.0003622171,0.000431242,0.0017684,0.0009109036,0.0005155956,0.000673642,0.0005463384,0.0003039133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007973203,"about_ca_system_score_gemma":0.00694946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.940702,"about_ca_topic_score_gemma":0.9459602,"domain_scores_codex":[0.9992748,0.00007946878,0.00004139467,0.0002249477,0.0001527726,0.0002267098],"domain_scores_gemma":[0.9956759,0.0008867702,0.0003584561,0.0003131779,0.002406687,0.0003591356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007239885,0.00007359187,0.9446204,0.00006543031,0.0003209108,0.0001435533,0.0006403041,0.03639662,0.004967042,0.000912855,0.002483808,0.008651636],"study_design_scores_gemma":[0.00003738043,0.00001137926,0.9836971,0.00001548288,0.0000323683,0.00001623932,0.0002340704,0.01455193,0.0004477495,0.00009662892,0.0008352514,0.0000243933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961174,0.0001400168,0.0002756809,0.000126736,0.00001695504,0.000007116311,0.001291654,0.00004570562,0.001978752],"genre_scores_gemma":[0.9988273,0.00003299815,0.00007377478,0.00001418776,0.000003252484,0.00000126254,0.0008008533,0.00001063673,0.0002357641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05929798,"threshold_uncertainty_score":0.1192943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2792640202","doi":"","title":"Probing Uncertainty in Aerosol Radiative Forcing: Sensitivity Analysis with a Single Climate Model","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Climate sensitivity; Radiative forcing; Aerosol; Climatology; Forcing (mathematics); Environmental science; Sensitivity (control systems); Climate model; Atmospheric sciences; Meteorology; Climate change; Geography; Geology; Oceanography","authors":[{"name":"Christopher G. Fletcher","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01147184001236297,"gpt":0.2247133893316864,"spread":0.2132415493193234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003680675,0.001260004,0.001383969,0.001016553,0.001074913,0.001304953,0.001563841,0.002485702,0.0008552321],"category_scores_gemma":[0.009251836,0.001049702,0.002911391,0.0009691115,0.001244726,0.002267904,0.001408013,0.001949141,0.00008830898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635805,"about_ca_system_score_gemma":0.001383797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0355693,"about_ca_topic_score_gemma":0.01502846,"domain_scores_codex":[0.998848,0.0006068061,0.00004479713,0.0002195164,0.0001335319,0.0001474895],"domain_scores_gemma":[0.9921944,0.006356308,0.0002619609,0.0006525553,0.0003676516,0.0001670969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001068189,0.00009060954,0.00233694,0.00002521238,0.0001508685,0.00004449794,0.00001527871,0.9943773,0.001109233,0.0004164112,0.0001147668,0.001212008],"study_design_scores_gemma":[0.00005548685,0.00009521462,0.002353427,0.000005009275,0.000113305,0.00001654188,0.00001767091,0.994956,0.001585591,0.0006784475,0.00009000857,0.00003347337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836959,0.0003049244,0.01282783,0.0004595281,0.00006870185,0.00005112382,0.0007177409,0.0001201344,0.001754158],"genre_scores_gemma":[0.9961601,0.00007808241,0.003268656,0.00005310892,0.00002239816,0.00002468393,0.0002119714,0.00002304078,0.0001578775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0355693,"threshold_uncertainty_score":0.07072455,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2807679546","doi":"","title":"Windfarms suppression in dual polarization radar","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Remote sensing; Radar; Geology; Environmental science; Computer science; Telecommunications","authors":[{"name":"S. Bachmann","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006483424870812497,"gpt":0.2083786170630121,"spread":0.2018951921921996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002638466,0.0005851857,0.0003721311,0.0003468537,0.000347502,0.0005174628,0.0003002099,0.0005655611,0.001539201],"category_scores_gemma":[0.0009383736,0.0002971865,0.0002445525,0.0005159311,0.0002295695,0.0007284037,0.0007168453,0.0005208056,0.0006933124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064938,"about_ca_system_score_gemma":0.0002745471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003530547,"about_ca_topic_score_gemma":0.001201634,"domain_scores_codex":[0.9997248,0.00006048423,0.00001153935,0.00004002525,0.0001127267,0.0000503796],"domain_scores_gemma":[0.9995506,0.0001823367,0.00005204773,0.00005639457,0.0001266764,0.00003185846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001622743,0.0002261953,0.00709338,0.0002519983,0.00009380537,0.0004540332,0.0003031967,0.03748342,0.6615189,0.008685282,0.004024986,0.2782421],"study_design_scores_gemma":[0.0001164464,0.0003056772,0.01088938,0.00006811388,0.0001112738,0.001127201,0.0001918358,0.7811464,0.1880126,0.005088882,0.01289723,0.00004491011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3170244,0.001477884,0.664242,0.0005525244,0.0003350069,0.0000303799,0.0002170451,0.0005254463,0.01559527],"genre_scores_gemma":[0.8858047,0.0009556457,0.1047316,0.000216705,0.0002333203,0.00003449374,0.0004936815,0.0001363013,0.007393484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001539201,"threshold_uncertainty_score":0.005149126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2887569607","doi":"","title":"GEM-MACH10: Implementation of a New Higher-Resolution Version of the Canadian Operational Air Quality Forecast Model","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Environmental science; Air quality index; Computer science; Meteorology; Geography","authors":[{"name":"Sylvain Ménard","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02086532896236109,"gpt":0.2718675717895181,"spread":0.251002242827157,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001427653,0.001724321,0.00115646,0.0009704655,0.001484935,0.001647822,0.006365286,0.001353793,0.01964929],"category_scores_gemma":[0.003906825,0.001313218,0.001241657,0.001684201,0.0005676218,0.002277882,0.00115027,0.00391492,0.00583874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004916833,"about_ca_system_score_gemma":0.01248015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7679285,"about_ca_topic_score_gemma":0.7092179,"domain_scores_codex":[0.9991857,0.00007635754,0.0000401386,0.0001566559,0.0003210581,0.0002200653],"domain_scores_gemma":[0.9983552,0.0001440037,0.00004648023,0.0002143225,0.0009914363,0.0002485732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001643951,0.0007854758,0.02205421,0.0003450259,0.0006555158,0.0003549618,0.0006664657,0.5415961,0.0133895,0.007934391,0.3233923,0.08718207],"study_design_scores_gemma":[0.0005888066,0.00004832104,0.006557412,0.00002034728,0.00006500521,0.00002627884,0.0000763156,0.935265,0.005949471,0.001153805,0.05009941,0.0001497726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.300488,0.0007864267,0.1652113,0.002474147,0.00381649,0.001124586,0.1857507,0.2544508,0.08589768],"genre_scores_gemma":[0.5322118,0.000388689,0.2171648,0.0009272961,0.0002273182,0.0005215135,0.20359,0.02190221,0.02306646],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2320715,"threshold_uncertainty_score":0.4668763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2788093641","doi":"","title":"Can Urban Ozone Generation be Modeled Correctly Based on Major Gaseous Atmospheric Reactions","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Ozone; Environmental science; Meteorology; Atmospheric sciences; Climatology; Geography; Geology","authors":[{"name":"Ali Gholizadeh Touchaei","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01417913390218525,"gpt":0.2112096489081689,"spread":0.1970305150059836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000329308,0.0007189421,0.000662347,0.0002399036,0.000345968,0.0008073928,0.0008884726,0.001107347,0.001157882],"category_scores_gemma":[0.00254341,0.0004998478,0.0006076232,0.0004114582,0.0004031063,0.001643933,0.0003922861,0.0007127917,0.0004328629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272822,"about_ca_system_score_gemma":0.001138883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06791478,"about_ca_topic_score_gemma":0.03786282,"domain_scores_codex":[0.9997733,0.00005998344,0.000008548002,0.00005212073,0.00003123207,0.0000747894],"domain_scores_gemma":[0.9994686,0.0002395315,0.00007546211,0.00008362379,0.00009650187,0.00003635028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006886422,0.00002505937,0.004042976,0.00001207505,0.00002605205,0.00003290814,0.00001254434,0.9910494,0.0006443547,0.001047195,0.000465806,0.002572615],"study_design_scores_gemma":[0.00001663083,0.000007424359,0.0009092582,0.000001421783,0.00001088135,0.000003205791,0.000006938913,0.997654,0.0004159909,0.0007825393,0.0001867024,0.00000497407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9122076,0.0005503456,0.07129745,0.002126768,0.0004184044,0.00004568571,0.001681148,0.001178937,0.01049363],"genre_scores_gemma":[0.9973906,0.0001047679,0.001072868,0.00005962225,0.000031232,0.000008667259,0.0002174764,0.00004837054,0.001066423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06791478,"threshold_uncertainty_score":0.135039,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2886837614","doi":"","title":"Development of Snow Cover Indicators for Canada","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Snow cover; Snow; Cover (algebra); Geography; Physical geography; Meteorology; Engineering","authors":[{"name":"Fuqun Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01365437255141988,"gpt":0.214161736627839,"spread":0.2005073640764191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001651925,0.0007434333,0.0003932733,0.005111704,0.001488563,0.001421953,0.001109477,0.0002707103,0.002106726],"category_scores_gemma":[0.003143773,0.0002663171,0.0005663332,0.005723781,0.000171124,0.0007604405,0.0008101758,0.0006741928,0.0005716357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03159597,"about_ca_system_score_gemma":0.06932983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992648,"about_ca_topic_score_gemma":0.9939959,"domain_scores_codex":[0.9990807,0.00005411349,0.00004977947,0.00009772071,0.0004924873,0.0002252882],"domain_scores_gemma":[0.9915036,0.00009883672,0.0002717426,0.0000859294,0.007429088,0.0006108525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005485364,0.0002743092,0.6641898,0.000457118,0.0002684974,0.0001853714,0.0009127632,0.01545909,0.004057362,0.006248143,0.08316129,0.2242377],"study_design_scores_gemma":[0.0000592699,0.0001034068,0.9131217,0.0001861805,0.0001188883,0.00004134897,0.001046453,0.02339987,0.004271991,0.0004562557,0.05713718,0.00005760474],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6673988,0.002220395,0.02082688,0.002351067,0.0002116075,0.00168736,0.2416443,0.001758417,0.06190102],"genre_scores_gemma":[0.8187678,0.001472171,0.04531039,0.0002022323,0.00002245757,0.0005171692,0.1163571,0.0002212605,0.01712953],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03159597,"threshold_uncertainty_score":0.2292458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885666605","doi":"","title":"METIS: Modernization of the Royal Netherlands Air Force Meteorological Workstation System","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Metis; Modernization theory; Workstation; Meteorology; Aeronautics; Geography; Environmental science; Computer science; Engineering; Political science; World Wide Web; Operating system","authors":[{"name":"Joshua Cahall","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004558240364553146,"gpt":0.1883950211789651,"spread":0.183836780814412,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001706936,0.0008219571,0.0004789284,0.001250887,0.0004944305,0.001884593,0.001534504,0.0006698118,0.0312901],"category_scores_gemma":[0.002430306,0.0004760076,0.0004977944,0.0009903682,0.0003059921,0.001990578,0.001441899,0.00121379,0.01414948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311687,"about_ca_system_score_gemma":0.002755618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02909968,"about_ca_topic_score_gemma":0.01819528,"domain_scores_codex":[0.9987541,0.0001728291,0.00007083252,0.0002446689,0.0005736702,0.000183869],"domain_scores_gemma":[0.9987454,0.00008314618,0.00006497274,0.0002798847,0.0006127422,0.0002136836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001192336,0.0002757052,0.007529514,0.0004419704,0.0001766799,0.0002654794,0.0008293247,0.0131624,0.08971239,0.02224282,0.1696082,0.6945633],"study_design_scores_gemma":[0.0002654762,0.0003263551,0.01432392,0.0001054376,0.0000844094,0.0002601205,0.0001434924,0.04241549,0.01831498,0.002983533,0.9206807,0.00009611821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1448464,0.008326545,0.4049277,0.005085793,0.003831632,0.001440861,0.02817111,0.07916376,0.3242063],"genre_scores_gemma":[0.4629214,0.003554995,0.2924365,0.0009348263,0.001570117,0.00084234,0.05866732,0.01337608,0.1656964],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0312901,"threshold_uncertainty_score":0.1046758,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2902338459","doi":"","title":"Further Developments of the Canadian Airport Nowcasting System (CAN-Now)","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nowcasting; Geography; Meteorology","authors":[{"name":"George A. Isaac","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006397721049662306,"gpt":0.1767131958517167,"spread":0.1703154748020544,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002451096,0.0008778396,0.0005112615,0.0008546278,0.001132566,0.001865043,0.001515401,0.0008570726,0.0228525],"category_scores_gemma":[0.002406183,0.0001931995,0.000687801,0.001049684,0.0004571734,0.0008791705,0.0006712305,0.001251109,0.003971813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006490689,"about_ca_system_score_gemma":0.01987945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8000339,"about_ca_topic_score_gemma":0.8343883,"domain_scores_codex":[0.9987283,0.0001090383,0.00002201455,0.00008904143,0.0007125438,0.0003389552],"domain_scores_gemma":[0.9973022,0.00007877444,0.0000340215,0.0001487479,0.001934662,0.0005016199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009970202,0.0005479821,0.01421429,0.00032328,0.0001392077,0.0002791589,0.000392594,0.04570431,0.02766641,0.02175431,0.3659813,0.5220001],"study_design_scores_gemma":[0.0003382635,0.0004412026,0.04040604,0.0001281994,0.0001450228,0.0001425755,0.0003214892,0.09349965,0.01008204,0.003112305,0.8512633,0.0001199357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2096499,0.009388109,0.1608387,0.02588846,0.01371262,0.001888817,0.03004755,0.01283555,0.5357503],"genre_scores_gemma":[0.6390294,0.004419235,0.1501967,0.002777301,0.001042508,0.0002219292,0.02845019,0.0007508856,0.1731118],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1999661,"threshold_uncertainty_score":0.4022874,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2805895979","doi":"","title":"Long-term comparison of temperatures observed from multiple sensors at the New Brunswick, NJ NWS Cooperative Weather Station","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Term (time); Meteorology; Environmental science; Remote sensing; Telecommunications; Computer science; Geography; Physics","authors":[{"name":"Mathieu R. Gerbush","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03288248168719402,"gpt":0.2620817581641756,"spread":0.2291992764769816,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008043028,0.0002332726,0.0003450298,0.0007024519,0.0006140282,0.0004993884,0.0008118373,0.0005853581,0.001192515],"category_scores_gemma":[0.001612,0.0002091886,0.0002588298,0.001582371,0.0002198112,0.0007295384,0.0004720112,0.0005655325,0.0004764085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002446631,"about_ca_system_score_gemma":0.00220761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5605452,"about_ca_topic_score_gemma":0.8289741,"domain_scores_codex":[0.9996443,0.00004180591,0.00002722664,0.0001053188,0.0001130581,0.0000683294],"domain_scores_gemma":[0.997752,0.0002902207,0.0001869668,0.0001686328,0.001452488,0.0001496795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009435579,0.0004707722,0.9357119,0.00009293972,0.0004080361,0.0003578295,0.0004041139,0.01459331,0.009909161,0.0003831678,0.01786019,0.01886502],"study_design_scores_gemma":[0.00003075328,0.00004159177,0.9886326,0.00001196372,0.00005322064,0.00002810099,0.0003591138,0.00698247,0.001042921,0.00003255991,0.002766349,0.00001824464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829845,0.0002000099,0.000519454,0.0002517273,0.00007423763,0.00002385843,0.01264257,0.0000536082,0.003250028],"genre_scores_gemma":[0.9766095,0.000114465,0.0007080343,0.00007869992,0.00001968155,0.00003961143,0.02053799,0.00002504944,0.001866871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5605452,"threshold_uncertainty_score":0.8840857,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2784646096","doi":"","title":"Weather conditions over southern Ontario on the night of November 18, 2010 during the crash of a small aircraft","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Crash; Meteorology; Environmental science; Aeronautics; Climatology; Geography; Engineering; Geology; Computer science","authors":[{"name":"Frank Dempsey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0378840383746113,"gpt":0.2896720559426268,"spread":0.2517880175680156,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105523,0.0002302627,0.0002338418,0.000384626,0.001878323,0.0007126137,0.0002987635,0.000465625,0.001766614],"category_scores_gemma":[0.0004600868,0.0001524891,0.0001964571,0.0008810095,0.0004772036,0.0002679967,0.0004206889,0.0003246441,0.0002896014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008171897,"about_ca_system_score_gemma":0.006578659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9701424,"about_ca_topic_score_gemma":0.9941682,"domain_scores_codex":[0.9998566,0.000009085785,0.000006116731,0.00002087451,0.00004722915,0.00006015767],"domain_scores_gemma":[0.999548,0.00002735261,0.00007756067,0.00001055696,0.0002042867,0.0001322434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008302336,0.0001079798,0.9594343,0.0001513728,0.0001335544,0.001973418,0.007992319,0.001490604,0.008476478,0.0002836143,0.01249048,0.00663561],"study_design_scores_gemma":[0.000004764185,0.00001281724,0.9959351,0.000009074548,0.00000777179,0.00002831593,0.001781309,0.0001689315,0.00007670292,0.00001023759,0.001958526,0.000006381729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895415,0.0001535823,0.00005958368,0.0002573285,0.00003028145,0.00002211392,0.003916604,0.00001567666,0.006003206],"genre_scores_gemma":[0.9943088,0.0002009679,0.00008008259,0.00006926349,0.00002136211,0.00001249458,0.001898745,0.000005204024,0.003403186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02985758,"threshold_uncertainty_score":0.06006676,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2788903004","doi":"","title":"High Resolution On-Line Air-Quality Model Simulations of Canada's Oil Sands","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Oil sands; Line (geometry); Environmental science; Quality (philosophy); Geology; Geography; Archaeology; Mathematics; Physics; Asphalt; Geometry","authors":[{"name":"Paul A. Makar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02411593742129177,"gpt":0.2790485450329463,"spread":0.2549326076116545,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003956596,0.00106293,0.00109345,0.0006358257,0.001951623,0.001332561,0.00241538,0.0022904,0.00274329],"category_scores_gemma":[0.00142189,0.0007085162,0.0009925413,0.001103333,0.00102813,0.0008462915,0.0007470115,0.001609076,0.00038408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01184534,"about_ca_system_score_gemma":0.0126607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9453574,"about_ca_topic_score_gemma":0.9061538,"domain_scores_codex":[0.9996315,0.00003852706,0.00001261517,0.00007040472,0.00009421678,0.0001525831],"domain_scores_gemma":[0.9992705,0.0001523357,0.00004005558,0.00005515848,0.0003236231,0.0001583527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000198927,0.0002852976,0.01383686,0.00002847956,0.00007865575,0.0001123355,0.000089464,0.9780545,0.001127262,0.000775127,0.002737086,0.002676063],"study_design_scores_gemma":[0.0001151703,0.00002059852,0.00907186,0.000005554479,0.00002112188,0.000006487809,0.00008979697,0.9892942,0.0005028107,0.0001350259,0.0007090467,0.00002832786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834953,0.0001118187,0.001296878,0.0005233295,0.00006752124,0.00004942943,0.004262506,0.0005387924,0.009654334],"genre_scores_gemma":[0.995497,0.00004477233,0.001250439,0.00005973308,0.00001152071,0.00001632971,0.001779531,0.00005760449,0.001283134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05464262,"threshold_uncertainty_score":0.1099288,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884287609","doi":"","title":"Optimization of satellite radiance assimilation at the Canadian Meteorological Center","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Radiance; Satellite; Remote sensing; Meteorology; Data assimilation; Environmental science; Earth observation satellite; Center (category theory); Climatology; Geography; Geology; Engineering; Aerospace engineering","authors":[{"name":"Louis Garand","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01748453385221499,"gpt":0.2236455575576144,"spread":0.2061610237053995,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006672379,0.0007555565,0.0008365226,0.000409745,0.001105998,0.0009679824,0.00116242,0.0008457091,0.003301324],"category_scores_gemma":[0.002281653,0.0006789772,0.0004942135,0.0007888587,0.0005118481,0.0006144511,0.0005280479,0.0008335881,0.0004275185],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003859552,"about_ca_system_score_gemma":0.01039758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7065882,"about_ca_topic_score_gemma":0.7156676,"domain_scores_codex":[0.9996902,0.00006201559,0.000009401178,0.00005103035,0.00009863166,0.00008868697],"domain_scores_gemma":[0.9995716,0.000120223,0.00001739534,0.00003414487,0.00021338,0.00004323171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009772267,0.00003777013,0.001248127,0.00001851991,0.00002596274,0.0000224891,0.00002963424,0.9832875,0.00137586,0.001252184,0.002406894,0.01019744],"study_design_scores_gemma":[0.00002307454,0.000007950353,0.0006809582,0.000002087467,0.00000516455,0.000001504401,0.000008768422,0.9981003,0.0004267618,0.000240593,0.0004966566,0.000006074994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7850767,0.0008763262,0.1421288,0.001845438,0.0004239184,0.0003146193,0.00348175,0.004120099,0.06173236],"genre_scores_gemma":[0.9411188,0.00009347428,0.05177018,0.0001038765,0.00003439068,0.00007444527,0.00126388,0.0003523893,0.005188469],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9961404,"threshold_uncertainty_score":0.5902795,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2791343169","doi":"","title":"Modeling of Ice Clouds Observed during ISDAC in Polluted and Pristine Air Masses","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec","funders":"","keywords":"Environmental science; Atmospheric sciences; Astrobiology; Meteorology; Geology; Geography; Physics","authors":[{"name":"Maxime Breau-Roussel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01133015844696034,"gpt":0.2145635850298869,"spread":0.2032334265829265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003972195,0.000990196,0.0008452438,0.0004674628,0.001322707,0.001259593,0.001389167,0.001905354,0.001658925],"category_scores_gemma":[0.0007309699,0.0006642095,0.001475662,0.0006192225,0.000747135,0.0007655523,0.0005134768,0.001031649,0.0002559464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002946097,"about_ca_system_score_gemma":0.002153304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.239689,"about_ca_topic_score_gemma":0.1146663,"domain_scores_codex":[0.9998288,0.00002021755,0.00001041019,0.00004067332,0.00002162685,0.00007835069],"domain_scores_gemma":[0.9995785,0.0001283589,0.0000419496,0.00003502057,0.00009942608,0.000116776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003927351,0.0002053732,0.02890829,0.00003019812,0.0001118847,0.0001856867,0.00007349323,0.9650598,0.002962228,0.0004105614,0.0006560056,0.001003756],"study_design_scores_gemma":[0.0001177086,0.00006269085,0.01516029,0.000005835709,0.00004260582,0.00001451049,0.00007497949,0.9831359,0.0009407855,0.00009891187,0.0003273899,0.00001830113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953861,0.00006151073,0.000487534,0.0002125558,0.00003855367,0.00002411744,0.001162156,0.0001144293,0.002513106],"genre_scores_gemma":[0.9983892,0.00003097635,0.0003639591,0.00002429848,0.00001082073,0.00001202423,0.0007638732,0.00002492664,0.0003798675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.239689,"threshold_uncertainty_score":0.4765877,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2787769885","doi":"","title":"Best Practices in the Statistical Prediction of Time-Averaged Winds","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Meteorology; Econometrics; Environmental science; Statistics; Climatology; Geography; Mathematics; Geology","authors":[{"name":"Aaron M. R. Culver","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01967844635719527,"gpt":0.25952980568217,"spread":0.2398513593249747,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03832277,0.002439286,0.002271478,0.004517879,0.001265689,0.006386865,0.005601584,0.003295754,0.001407517],"category_scores_gemma":[0.1451612,0.002331348,0.002333925,0.004319224,0.00198226,0.004490878,0.002418968,0.006044734,0.002894863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154874,"about_ca_system_score_gemma":0.003821711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309429,"about_ca_topic_score_gemma":0.02047991,"domain_scores_codex":[0.9613188,0.0183516,0.004584207,0.003382765,0.0117579,0.0006047986],"domain_scores_gemma":[0.879784,0.06501984,0.003377376,0.0253721,0.02547527,0.0009713768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002951983,0.0005230543,0.01265054,0.0009844686,0.001392717,0.0003076016,0.0005338072,0.2690603,0.005717486,0.02406011,0.02232838,0.6621464],"study_design_scores_gemma":[0.000137592,0.0001613012,0.005336928,0.001005672,0.0003276522,0.0003765061,0.0001863496,0.8586715,0.01714879,0.08538439,0.03101621,0.0002470547],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004757142,0.003935224,0.9850308,0.001379184,0.0004016949,0.00007198176,0.0003985222,0.002944731,0.001080673],"genre_scores_gemma":[0.09060173,0.004072289,0.901486,0.0004056808,0.0004735179,0.0001626002,0.001228709,0.0008238787,0.0007455534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03832277,"threshold_uncertainty_score":0.2026725,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2802418897","doi":"","title":"Automating NEXRAD Data Use in GIS and Hydrologic and Hydraulic Applications","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Esri (Canada)","funders":"","keywords":"Environmental science; Hydrology (agriculture); Remote sensing; Vflo; Hydrological modelling; Geographic information system; Meteorology; Engineering; Geology; Runoff curve number; Geography; Cartography; Climatology; Geotechnical engineering; Drainage basin","authors":[{"name":"Amit Sinha","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02442838633205375,"gpt":0.2319467668579811,"spread":0.2075183805259274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001735274,0.0008934197,0.0005378459,0.002692062,0.001030644,0.002441082,0.0009477414,0.0003904488,0.006289413],"category_scores_gemma":[0.005924051,0.0006997728,0.000626279,0.003302163,0.0004585032,0.00264308,0.00155732,0.0007890088,0.003499163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019826,"about_ca_system_score_gemma":0.002982002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05486825,"about_ca_topic_score_gemma":0.07402319,"domain_scores_codex":[0.9989395,0.0001375303,0.0001328707,0.0002281469,0.0004555137,0.0001065139],"domain_scores_gemma":[0.9970726,0.0007089197,0.0001494599,0.0008669678,0.001133562,0.00006854733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003170245,0.0003307289,0.05808422,0.0004090235,0.0001690763,0.0004300128,0.002349225,0.06119303,0.04267567,0.007803084,0.09435455,0.7318844],"study_design_scores_gemma":[0.00006669744,0.00006440502,0.05137239,0.0001422744,0.0001617023,0.0002397494,0.00314026,0.5377071,0.1789457,0.01047236,0.2175636,0.0001238097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2496972,0.0003863084,0.5807387,0.001222175,0.0002971512,0.0007389553,0.0293284,0.1069995,0.03059166],"genre_scores_gemma":[0.3992918,0.0004783641,0.5535856,0.0002386181,0.00004702621,0.0003648786,0.02753379,0.005401005,0.01305893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05486825,"threshold_uncertainty_score":0.1090978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}