{"id":"W2981300446","doi":"10.1159/000503091","title":"Infarct Patterns in Patients with Atherosclerotic Vertebrobasilar Disease in Relation to Hemodynamics","year":2019,"lang":"en","type":"article","venue":"Cerebrovascular Diseases Extra","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Hemodynamics; Cardiology; Stroke (engine); Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001220113,0.0004381774,0.0006193533,0.0004977045,0.00004646858,0.00005779179,0.0002153904,0.0000985334,0.0005696877],"category_scores_gemma":[0.00008585852,0.0003951972,0.0004364468,0.0006816791,0.00004830647,0.0003492335,0.00009120814,0.0002571784,0.0002870672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003871839,"about_ca_system_score_gemma":0.000232678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001179453,"about_ca_topic_score_gemma":0.0001047291,"domain_scores_codex":[0.9969756,0.0001319586,0.0004855422,0.0008823646,0.0008879736,0.0006365787],"domain_scores_gemma":[0.9977563,0.00003844834,0.00007535148,0.00118298,0.0001209743,0.0008259563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005480833,0.001587761,0.9922988,0.0004118473,0.000125935,0.00001496999,0.0001303775,0.003466122,0.00001382868,0.0000734464,0.00001684014,0.00131195],"study_design_scores_gemma":[0.009215231,0.0003284775,0.9872715,0.0009040195,0.0002543906,0.000001862728,0.00009873497,0.001270128,0.000005880279,0.00003824738,0.0001097915,0.0005016892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996048,0.0001750945,0.0002233871,0.0001037594,0.0001220913,0.002934097,0.0001118057,0.00009788434,0.0001839329],"genre_scores_gemma":[0.9981194,0.00003544056,0.00008777805,0.0006305391,0.00004791067,0.000160389,0.0007264833,0.0001032493,0.00008881911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008667148,"threshold_uncertainty_score":0.99985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00353635732505073,"score_gpt":0.1915070766538397,"score_spread":0.187970719328789,"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."}}