{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001361013,0.002360961,0.001685873,0.003672328,0.0007206774,0.002862178,0.003618108,0.002600217,0.1415556],"category_scores_gemma":[0.008791666,0.0008904843,0.001495158,0.006608315,0.0004788009,0.001392989,0.001884078,0.001623101,0.1528687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793233,"about_ca_system_score_gemma":0.002257192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03638116,"about_ca_topic_score_gemma":0.04766759,"domain_scores_codex":[0.9990351,0.0002335543,0.000104263,0.0002861782,0.0001733468,0.0001675611],"domain_scores_gemma":[0.9974526,0.0007851828,0.0002676872,0.0006333427,0.0005228697,0.0003384606],"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":[0.00004612603,0.000008624634,0.0003751794,0.0003041886,0.00002381092,0.000007169655,0.00000670186,0.0001935843,0.00002352421,0.0002688462,0.9977411,0.0010012],"study_design_scores_gemma":[0.0005939581,0.00002712879,0.003118657,0.0004469953,0.00005266618,0.0000541282,0.00004602062,0.0009426339,0.0002348434,0.002156168,0.9922924,0.00003439561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005131144,0.00006244759,0.0000320857,0.00008145619,0.00002113533,0.000004652256,0.9988964,0.0003024272,0.0005481991],"genre_scores_gemma":[0.0004097791,0.00007444208,0.0001472057,0.0001118316,0.00001703669,0.00004270773,0.9984326,0.0001024186,0.0006620021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8584444,"threshold_uncertainty_score":0.4735506,"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."}}