{"id":"W1996404365","doi":"10.1503/cmaj.090150","title":"Scrubs: What you don't see is what you get","year":2009,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Pager; Stethoscope; Medicine; Medical emergency; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001061596,0.0007987262,0.0007272568,0.0005495549,0.004580306,0.004170058,0.0008853788,0.003211897,0.09766769],"category_scores_gemma":[0.0130088,0.0003409893,0.0006727253,0.0003664702,0.002826227,0.004933107,0.003666739,0.005482326,0.08158226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085408,"about_ca_system_score_gemma":0.001988165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006023987,"about_ca_topic_score_gemma":0.008100889,"domain_scores_codex":[0.9978606,0.0004801165,0.00009764811,0.0001831915,0.0009937667,0.0003846324],"domain_scores_gemma":[0.9951172,0.0005601098,0.00040489,0.0003437221,0.001313312,0.002260837],"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":[0.0001038271,0.0002241583,0.005689375,0.0002361626,0.00003474232,0.0008223813,0.003108725,0.00004845874,0.001451034,0.001904946,0.8536564,0.1327198],"study_design_scores_gemma":[0.00004491685,0.0002859663,0.008305764,0.0009682869,0.00004204276,0.00418997,0.01320252,0.0001032152,0.001316072,0.004702277,0.9667103,0.000128675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04300068,0.01751995,0.01170531,0.4450129,0.03594097,0.0002274843,0.001202301,0.004905717,0.4404846],"genre_scores_gemma":[0.1950755,0.0174554,0.009774571,0.2373534,0.005936158,0.0002301402,0.0009238122,0.002279817,0.5309713],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09766769,"threshold_uncertainty_score":0.326731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00828661583932701,"score_gpt":0.2572533717901871,"score_spread":0.2489667559508601,"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."}}