{"id":"W4406545030","doi":"10.1016/s1544-8800(12)70019-2","title":"10.1016/s1544-8800(12)70019-2","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"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":[0.0004929634,0.0001419227,0.0002068712,0.0000942363,0.0008355606,0.00002237423,0.0001551357,0.0001929989,0.9984667],"category_scores_gemma":[0.0001378103,0.0001326868,0.00004168419,0.0002699704,0.00001825897,0.0001294192,0.00003350374,0.0003624534,0.99613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001157678,"about_ca_system_score_gemma":0.0002981874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002928059,"about_ca_topic_score_gemma":0.00000982965,"domain_scores_codex":[0.9982877,0.0003250231,0.0004541083,0.0002718391,0.0001889185,0.0004723922],"domain_scores_gemma":[0.9989688,0.0001458822,0.00005168688,0.0003718424,0.0001768341,0.0002849727],"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":[0.0000913074,0.00006160452,0.000005934969,0.00003740945,0.00001154642,0.00000280964,0.0003723573,0.002667459,0.00001138804,0.00001587316,0.5619804,0.434742],"study_design_scores_gemma":[0.0002930934,0.0001005687,0.0001454017,0.00006709334,0.000008052789,0.000001196184,0.00001454755,0.004448723,0.000002518479,0.000005718901,0.9947613,0.0001517933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009813814,0.00003073267,0.0000516301,0.003449967,0.000008591229,0.0007179219,0.00003396716,0.0002002673,0.9945256],"genre_scores_gemma":[0.0002056037,0.00000134581,0.002518963,0.0005201712,0.000363043,0.0001354587,0.0001189467,0.00003822583,0.9960982],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4345902,"threshold_uncertainty_score":0.6426541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004671955536827,"score_gpt":0.3168366673340313,"score_spread":0.286789947778663,"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."}}