{"id":"W6903348374","doi":"10.1130/2001032","title":"Supplemental material: Opening Iapetus: Constraints from the Laurentian margin in Newfoundland","year":2001,"lang":"en","type":"article","venue":"Figshare","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Population; Fishing; Sequence (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004787116,0.0001581133,0.0001601943,0.00100701,0.002285227,0.001541314,0.0007701603,0.0005175785,0.3159123],"category_scores_gemma":[0.006525862,0.0001196837,0.0001991905,0.001445601,0.0004540628,0.0006871903,0.0007866473,0.0006361579,0.01277345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005217789,"about_ca_system_score_gemma":0.00626657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6994125,"about_ca_topic_score_gemma":0.913077,"domain_scores_codex":[0.9995596,0.00005741399,0.00001804617,0.00004739558,0.0001109308,0.0002066922],"domain_scores_gemma":[0.9947904,0.0018231,0.0004939922,0.0002975239,0.001658053,0.0009368547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008830622,0.00002837477,0.02778467,0.00007492515,0.000007339,0.0003291196,0.0008510898,0.0004636495,0.0001280535,0.005393498,0.9394478,0.02540319],"study_design_scores_gemma":[0.00003021507,0.00001664226,0.2223159,0.0002438464,0.00001718256,0.0003363517,0.004642617,0.0006729611,0.0002454787,0.002225944,0.7692223,0.00003059562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09441277,0.0004126731,0.001954514,0.01706338,0.0009796281,0.0001279924,0.2332964,0.0008287942,0.6509238],"genre_scores_gemma":[0.5026385,0.0003396435,0.004747222,0.002856938,0.0003882046,0.0001699954,0.06513929,0.0005356085,0.4231845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3159123,"threshold_uncertainty_score":0.975768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07845550726503477,"score_gpt":0.3269198469056025,"score_spread":0.2484643396405677,"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."}}