{"id":"W2090331678","doi":"10.1503/cmaj.109-4079","title":"Private rooms: Evidence-based design in hospitals","year":2011,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Empathy and Medical Education","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Computer science; Medicine; Data science; Medical emergency","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003884485,0.0001112944,0.0002447025,0.0003110123,0.00009562302,0.00002422805,0.0001596471,0.0004134458,0.006643842],"category_scores_gemma":[0.01405649,0.0000962932,0.00008621134,0.0003605342,0.0000472843,0.0001946505,0.000005727364,0.001032792,0.0001872215],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447647,"about_ca_system_score_gemma":0.008343554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002105756,"about_ca_topic_score_gemma":0.004363488,"domain_scores_codex":[0.9974114,0.0002769522,0.0004903006,0.0001567408,0.0011649,0.0004996945],"domain_scores_gemma":[0.9966893,0.0003022707,0.0001793102,0.0001177821,0.0002745929,0.002436734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001901513,0.0004322988,0.7735097,0.00007150312,0.000141762,0.003269784,0.01803504,0.0000115366,0.00004597711,0.0003558328,0.09248386,0.1114525],"study_design_scores_gemma":[0.003093159,0.0006128498,0.957878,0.002230382,0.00008861262,0.0003613087,0.003107898,0.0009566922,0.0004894527,0.001121663,0.02975845,0.0003015154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.926517,0.001123533,0.002489025,0.06453575,0.001677312,0.0004719519,0.000003076982,0.00003617749,0.003146202],"genre_scores_gemma":[0.974878,0.0002791027,0.001701673,0.02194589,0.0008703156,0.000018363,0.000004222102,0.00001537644,0.0002871196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1843683,"threshold_uncertainty_score":0.9972782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03811442267860432,"score_gpt":0.2811508882314514,"score_spread":0.2430364655528471,"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."}}