{"id":"W3123516259","doi":"10.1093/eurheartj/ehab020","title":"Lessons from COLCOT and LoDoCo2: colchicine for secondary prevention in coronary artery disease","year":2021,"lang":"en","type":"letter","venue":"European Heart Journal","topic":"Inflammasome and immune disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Colchicine; Coronary artery disease; Cardiology; Internal medicine; Secondary prevention","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":[],"consensus_categories":[],"category_scores_codex":[0.002376628,0.0008005038,0.001649756,0.0005262566,0.001498744,0.00219382,0.00103204,0.02786623,0.004971634],"category_scores_gemma":[0.01139576,0.000365623,0.00104031,0.0004290921,0.002263408,0.003182591,0.001333494,0.02447403,0.003276745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259671,"about_ca_system_score_gemma":0.001604043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001656441,"about_ca_topic_score_gemma":0.003162611,"domain_scores_codex":[0.9988737,0.0003899344,0.0001607438,0.0001498086,0.0002794552,0.0001464085],"domain_scores_gemma":[0.9952385,0.002976544,0.0002654855,0.0001660016,0.0005195693,0.0008338418],"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":[0.0004926453,0.0001409697,0.0007132318,0.0002820053,0.00008810147,0.008101247,0.0001257103,0.000134979,0.0007883835,0.007186695,0.9256117,0.05633435],"study_design_scores_gemma":[0.001270138,0.0004201213,0.001890804,0.0007250497,0.0001432357,0.007745507,0.0002481395,0.0004670216,0.0006625231,0.03021182,0.9561234,0.00009221133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009597003,0.01805575,0.000173642,0.9559101,0.02207413,0.000008403527,0.00005680293,0.00002642917,0.002735125],"genre_scores_gemma":[0.01377226,0.01539298,0.0004089398,0.8190414,0.1447902,0.00004503934,0.00004728891,0.00003202011,0.006469881],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02786623,"threshold_uncertainty_score":0.01663172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659947449689685,"score_gpt":0.279335545804523,"score_spread":0.2527360713076261,"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."}}