{"id":"W6976926826","doi":"10.6084/m9.figshare.5822016.v1","title":"MOESM6 of Incidental findings in CT imaging of coronary artery bypass grafts: results from a Canadian multicenter prospective cohort","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prospective cohort study; Coronary artery disease; Cohort; Computed tomography; Coronary artery bypass surgery; Coronary angiography","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":[],"consensus_categories":[],"category_scores_codex":[0.001462756,0.0006055122,0.0008359019,0.003676846,0.002060571,0.00108469,0.001669865,0.0006807178,0.1354105],"category_scores_gemma":[0.01845591,0.0003818384,0.001252954,0.00563535,0.0003822361,0.0008058774,0.0009930624,0.0007672716,0.004741218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002744997,"about_ca_system_score_gemma":0.005255953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5640838,"about_ca_topic_score_gemma":0.6004539,"domain_scores_codex":[0.9986408,0.0001127693,0.0002846632,0.0002989744,0.0003504637,0.0003122522],"domain_scores_gemma":[0.9895205,0.002497565,0.002795135,0.0008649037,0.003621948,0.0006998956],"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":[0.002106808,0.00009235278,0.4304325,0.001741374,0.000660703,0.0003704715,0.0004516505,0.0003459082,0.0002448061,0.001055737,0.5460755,0.01642218],"study_design_scores_gemma":[0.0007373116,0.00008888329,0.9475648,0.001685407,0.0005803584,0.0007347355,0.0007893646,0.0005264325,0.0003117113,0.0007400039,0.0461279,0.0001131394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02198831,0.0002973254,0.0003127966,0.0002421897,0.00003591682,0.0001430308,0.9718003,0.00007433696,0.005105936],"genre_scores_gemma":[0.3530161,0.001029761,0.003190482,0.0005351168,0.0001318125,0.001485848,0.6268008,0.0003444773,0.01346566],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5640838,"threshold_uncertainty_score":0.8769668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240958326479854,"score_gpt":0.2546157963004535,"score_spread":0.2305199636524681,"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."}}