{"id":"W1900026308","doi":"10.1002/ccd.25277","title":"Optimizing rotational atherectomy in high‐risk percutaneous coronary interventions: Insights from the PROTECT ΙΙ study","year":2013,"lang":"en","type":"article","venue":"Catheterization and Cardiovascular Interventions","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Impella; Medicine; Internal medicine; Cardiology; Conventional PCI; Percutaneous coronary intervention; Coronary artery disease; Percutaneous; Hemodynamics; Incidence (geometry); Clinical endpoint; Randomized controlled trial; Myocardial infarction; Cardiogenic shock","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003091514,0.0002463592,0.000446828,0.000204116,0.0002923899,0.0001640531,0.0001677589,0.0000932258,0.001096102],"category_scores_gemma":[0.0002986104,0.0001911653,0.001582895,0.0003272629,0.0001093067,0.0002473276,0.0001452775,0.0003236501,0.00009110271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008782111,"about_ca_system_score_gemma":0.00003665476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001677282,"about_ca_topic_score_gemma":0.0003736771,"domain_scores_codex":[0.9977117,0.0005330894,0.0007350863,0.000478742,0.0003408112,0.0002005346],"domain_scores_gemma":[0.998697,0.0001782452,0.0001480714,0.0006313313,0.0002357239,0.0001095673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004570133,0.01604686,0.5970964,0.001163484,0.01672217,0.0009827083,0.01962165,0.006963159,0.001671734,0.002331782,0.001061952,0.335881],"study_design_scores_gemma":[0.003212891,0.001137644,0.9813563,0.001778216,0.001506854,0.0003074548,0.006823154,0.00184882,0.00003224807,0.001146764,0.0005218938,0.0003277377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670267,0.00671059,0.02265946,0.0002182801,0.0002525649,0.002832397,0.00007121205,0.00008246698,0.0001464047],"genre_scores_gemma":[0.9966666,0.0004440049,0.001118186,0.00008046907,0.0000992682,0.0009814375,0.0003133801,0.00003876222,0.0002579548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3842598,"threshold_uncertainty_score":0.999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442449890615161,"score_gpt":0.2657395720488693,"score_spread":0.2413150731427177,"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."}}