{"id":"W4398400556","doi":"10.7910/dvn/pkjufn/jahkbo","title":"FCC2002.012.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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001379794,0.002442513,0.001725661,0.003645457,0.0007602905,0.002910887,0.003775767,0.002724177,0.1415779],"category_scores_gemma":[0.008917779,0.0008891294,0.001544998,0.006397223,0.0004958131,0.001427203,0.001918457,0.001646346,0.1514222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763193,"about_ca_system_score_gemma":0.002252848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03534688,"about_ca_topic_score_gemma":0.04598348,"domain_scores_codex":[0.9990102,0.0002458088,0.0001026,0.0002994043,0.0001766942,0.0001651654],"domain_scores_gemma":[0.9974926,0.0007612445,0.0002554391,0.0006401988,0.0005126204,0.0003379961],"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":[0.0000492316,0.000009253784,0.000389587,0.000317223,0.00002610002,0.00000799163,0.000007145924,0.0002137332,0.00002543344,0.0002783413,0.9976758,0.00100013],"study_design_scores_gemma":[0.0006173471,0.00002823755,0.00292016,0.0004303491,0.00005419275,0.00005700856,0.00004696231,0.00103548,0.000240451,0.002202705,0.9923319,0.00003534497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000552611,0.00006499332,0.00003530981,0.00008493469,0.00002210253,0.000005067754,0.9988627,0.0003306247,0.0005389857],"genre_scores_gemma":[0.0004245397,0.00007189091,0.0001622819,0.0001141882,0.00001739006,0.00004504129,0.998421,0.0001088655,0.0006348095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.858422,"threshold_uncertainty_score":0.4736254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990997797315357,"score_gpt":0.2742524758843823,"score_spread":0.2543424979112288,"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."}}