{"id":"W4398290950","doi":"10.7910/dvn/pkjufn/4rod7o","title":"FCC2002.334.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; Climatology; Geography; Geology; Physics; Aerospace engineering; Engineering; 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":[0.001311988,0.002422188,0.001646696,0.003578861,0.0007177903,0.00292844,0.003676276,0.002581696,0.1451624],"category_scores_gemma":[0.007558082,0.0008844904,0.001442975,0.006496734,0.0004860772,0.001419336,0.00183727,0.001574761,0.168024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714674,"about_ca_system_score_gemma":0.001994058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03223939,"about_ca_topic_score_gemma":0.04132803,"domain_scores_codex":[0.9990753,0.0002261625,0.0001012677,0.0002753961,0.0001645491,0.000157276],"domain_scores_gemma":[0.9978346,0.0006134174,0.0002236985,0.0005725989,0.0004463441,0.0003092912],"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":[0.00004696987,0.000009257369,0.0003197395,0.0002884193,0.00002191918,0.000007378957,0.000006701441,0.0002081624,0.0000264104,0.0002781131,0.9978005,0.0009864094],"study_design_scores_gemma":[0.0005311086,0.00002811253,0.002581257,0.0003636881,0.00004198585,0.00005053021,0.0000417345,0.0009947973,0.0002335611,0.001927394,0.9931746,0.00003119641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005459068,0.00005770805,0.00003561744,0.00007501117,0.00002189941,0.000004994317,0.9987256,0.0003640604,0.0006604771],"genre_scores_gemma":[0.0003861551,0.00006016338,0.0001382794,0.00009156644,0.00001354464,0.00003646651,0.9985487,0.0001034647,0.000621588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8548376,"threshold_uncertainty_score":0.4856166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198179097441933,"score_gpt":0.2741131898192298,"score_spread":0.2542952800750365,"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."}}