{"id":"W4398345293","doi":"10.7910/dvn/pkjufn/ehkmvt","title":"FCC2001.070.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Range (aeronautics); Earth's magnetic field; Environmental science; Meteorology; Atmospheric sciences; Geomagnetic latitude; Remote sensing; Geology; Physics; Materials science; Magnetic field","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002179044,0.0003241721,0.0006983637,0.0001572691,0.00008443042,0.00004074427,0.0002306919,0.0003082812,0.02153371],"category_scores_gemma":[0.0005059024,0.0003202585,0.0006498625,0.0002084406,0.00005432751,0.0001124418,0.0002344442,0.0005554706,0.3445483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170052,"about_ca_system_score_gemma":0.0005969765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002867685,"about_ca_topic_score_gemma":0.00003443466,"domain_scores_codex":[0.997873,0.0001010593,0.0003908716,0.0006030751,0.0006469695,0.0003850376],"domain_scores_gemma":[0.99727,0.0000316485,0.0001363067,0.001592675,0.00007992279,0.0008894816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005258827,0.0001244502,0.000006189948,0.00160956,0.0003216047,0.001034991,0.000005708634,5.237438e-7,0.000009642083,0.00000389205,0.995424,0.0009335591],"study_design_scores_gemma":[0.002349583,0.00006017552,0.0003391872,0.0002480761,0.001851397,0.0001448426,0.00002415699,0.00000971906,0.000004913901,0.000008803703,0.9946923,0.0002668278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001870135,0.00002189743,0.00006032444,0.00004654724,0.0006567409,0.0007433185,0.997947,0.00009930839,0.0004061141],"genre_scores_gemma":[0.00001679707,0.001444781,0.0001878007,0.003270799,0.001186668,0.00004552985,0.9935806,0.0000323868,0.0002345806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3230146,"threshold_uncertainty_score":0.999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975139362270359,"score_gpt":0.2758061501033529,"score_spread":0.2560547564806493,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}