{"id":"W4406551800","doi":"10.1016/s1544-8800(13)70014-9","title":"10.1016/s1544-8800(13)70014-9","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Backup; Conventional PCI; Medicine; Cardiology; Computer science; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001070665,0.003098648,0.001864246,0.002907685,0.002516062,0.003249763,0.003221786,0.006157843,0.9897931],"category_scores_gemma":[0.001760023,0.0009221454,0.001522149,0.002055503,0.001829101,0.00454276,0.003233257,0.002759653,0.9924582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035005,"about_ca_system_score_gemma":0.001109797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00356058,"about_ca_topic_score_gemma":0.00314789,"domain_scores_codex":[0.9993327,0.00004505874,0.00005379347,0.0002290346,0.0001753897,0.0001639117],"domain_scores_gemma":[0.9977781,0.0005605237,0.0001339018,0.0002051752,0.0004302437,0.0008920704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004995408,0.0003056468,0.0008686988,0.0006259402,0.00003910187,0.0003209501,0.0001052224,0.0004467756,0.002140335,0.004244631,0.3734642,0.6169389],"study_design_scores_gemma":[0.00008740067,0.0001692559,0.0009545395,0.0003345172,0.00001587198,0.0004603369,0.0001267646,0.00023735,0.0004529539,0.0006082602,0.9965264,0.00002642376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004610676,0.0004398441,0.0006162178,0.0004078373,0.0003584942,0.0001106663,0.0006372695,0.0008020124,0.9961665],"genre_scores_gemma":[0.0004873169,0.0001774713,0.0003022135,0.0001907961,0.00008449232,0.00005232656,0.0003122651,0.0001260587,0.9982669],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01020694,"threshold_uncertainty_score":0.01455885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008233271489355456,"score_gpt":0.2142098493717451,"score_spread":0.2059765778823897,"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."}}