{"id":"W4406545457","doi":"10.1016/s1544-8800(12)70114-8","title":"10.1016/s1544-8800(12)70114-8","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; Medical emergency; General surgery; Computer science; Cardiology; Database; Myocardial infarction","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":[0.001118728,0.003178982,0.002000736,0.003017311,0.00246427,0.003459708,0.003219144,0.00617867,0.9897931],"category_scores_gemma":[0.001807724,0.0009503347,0.001615927,0.002085397,0.001767996,0.004913081,0.003450622,0.00289815,0.9927586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102734,"about_ca_system_score_gemma":0.001112313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003362195,"about_ca_topic_score_gemma":0.002901048,"domain_scores_codex":[0.9993057,0.00004541282,0.0000568597,0.0002332346,0.0001871071,0.0001716982],"domain_scores_gemma":[0.9974872,0.000661235,0.0001577589,0.0002383936,0.0004689663,0.000986431],"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":[0.000501774,0.0002934632,0.0008356796,0.000639134,0.0000389455,0.0002778539,0.00009801333,0.0004433449,0.001995004,0.004275247,0.3665566,0.6240449],"study_design_scores_gemma":[0.00008790242,0.0001704158,0.0009640172,0.0003417216,0.00001628726,0.0004302387,0.0001134125,0.0002202765,0.0004384342,0.0005899616,0.9966011,0.00002621641],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004191118,0.0004706394,0.0005714317,0.0004116093,0.0003568836,0.0001021892,0.0006586097,0.0008097799,0.9961998],"genre_scores_gemma":[0.0004873513,0.0001987114,0.0002894223,0.0001930345,0.00009426648,0.00004969722,0.000316884,0.0001319219,0.9982388],"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":0.009406893093533937,"score_gpt":0.2132471734337177,"score_spread":0.2038402803401838,"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."}}