{"id":"W4406545056","doi":"10.1016/s1544-8800(11)70033-1","title":"10.1016/s1544-8800(11)70033-1","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Balloon; Door-to-balloon; Computer science; Medicine; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003481475,0.0001207424,0.0001060635,0.00004774974,0.00004301098,0.00002338322,0.0001037504,0.00005208696,0.9749284],"category_scores_gemma":[0.00001708045,0.0001287891,0.00002560191,0.00009047602,0.00001295228,0.00006637805,0.0000116565,0.00007601669,0.9623682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003583369,"about_ca_system_score_gemma":0.000003938163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005478383,"about_ca_topic_score_gemma":1.641182e-7,"domain_scores_codex":[0.9994646,0.000006802613,0.0001159752,0.0001275697,0.00008133815,0.0002037199],"domain_scores_gemma":[0.9996706,0.00002511945,0.000008250576,0.0001954945,0.00001498148,0.00008553499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000630009,0.000006377019,1.237786e-8,0.000006855574,0.000005233828,0.000001825897,0.000008065082,0.7384075,0.00001020751,0.000001532514,0.05743887,0.2041072],"study_design_scores_gemma":[0.0001053592,0.00002297145,0.000008384074,0.000008269193,0.0000075007,0.000002573698,3.508255e-7,0.02388592,0.000431136,0.00002420852,0.9753386,0.0001646605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008757832,0.0000402697,0.003586922,0.0000264354,0.000003670848,0.00009231023,0.00001063072,0.0006082436,0.995544],"genre_scores_gemma":[0.0007153741,0.000001087492,0.004616748,0.000008528214,0.00009607129,0.0000119803,0.00002507417,0.00003726914,0.9944879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9178998,"threshold_uncertainty_score":0.5251868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003780218084950435,"score_gpt":0.1517314871197947,"score_spread":0.1479512690348443,"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."}}