{"id":"W4398479366","doi":"10.7910/dvn/pkjufn/lcfpyu","title":"FCC2001.137.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; Meteorology; Environmental science; Atmospheric sciences; Geomagnetic latitude; Remote sensing; Physics; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001227982,0.002407086,0.001656144,0.003525983,0.0007420318,0.003260664,0.003393378,0.002651186,0.1775361],"category_scores_gemma":[0.007234339,0.0009562315,0.001431275,0.006777521,0.0004762539,0.0014332,0.001915276,0.00158187,0.1974804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001790767,"about_ca_system_score_gemma":0.002124026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03370227,"about_ca_topic_score_gemma":0.04482596,"domain_scores_codex":[0.999074,0.0002159317,0.0001108478,0.0002614718,0.0001673287,0.0001703678],"domain_scores_gemma":[0.9978203,0.0006512325,0.0002123522,0.0005380023,0.0004893289,0.0002888566],"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":[0.00004599139,0.000009529342,0.0002764926,0.0003314824,0.00002026482,0.000007856719,0.000007698609,0.0001816391,0.00003125773,0.0003150143,0.9978389,0.0009339059],"study_design_scores_gemma":[0.0005583022,0.00002533415,0.002237658,0.0003767324,0.00003581239,0.0000447062,0.00004010795,0.0006852613,0.0002373915,0.001706762,0.9940228,0.00002921978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003979221,0.00004552164,0.00002967208,0.00005828996,0.00001862692,0.000004305356,0.9987739,0.000326759,0.0007032865],"genre_scores_gemma":[0.0003181574,0.00005563163,0.0001258566,0.00008394368,0.00001119329,0.00003459017,0.998603,0.0001253879,0.0006422858],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8224639,"threshold_uncertainty_score":0.5939175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976153797269264,"score_gpt":0.2759116896298448,"score_spread":0.2561501516571522,"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."}}