{"id":"W4402255337","doi":"10.32920/26883322","title":"Operating Room Black Box (ORBB): Examining Nurses' Perceptions in a Surgical Setting","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Black box; Perception; Operating room nursing; Medicine; Psychology; Nursing; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007086135,0.0002595645,0.0002719528,0.0006320209,0.00209295,0.002270628,0.0007480925,0.0007599283,0.001922519],"category_scores_gemma":[0.02009751,0.0003352124,0.0004019038,0.000355073,0.002706362,0.001484932,0.003266387,0.001360992,0.0002478848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003415273,"about_ca_system_score_gemma":0.004894436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03264317,"about_ca_topic_score_gemma":0.05973131,"domain_scores_codex":[0.9945233,0.002770617,0.0003478899,0.0002136265,0.001475126,0.0006695419],"domain_scores_gemma":[0.9843429,0.005585317,0.004269594,0.0003331412,0.002185503,0.003283498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002838038,0.0006063746,0.3514424,0.0005857522,0.00005215741,0.0007352947,0.6034013,0.0001234066,0.003047027,0.0004391133,0.002064599,0.03721879],"study_design_scores_gemma":[0.0000155758,0.0007957409,0.1799821,0.00029021,0.0000234592,0.0002503472,0.8124284,0.0002189389,0.0003776175,0.0001193324,0.005449968,0.00004839918],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972544,0.0001231036,0.0002258287,0.0006175724,0.00001851556,0.00004041899,0.00002027495,0.00000399036,0.001695843],"genre_scores_gemma":[0.9978095,0.0002982194,0.0004781587,0.0005090125,0.00001144298,0.0000532439,0.00002415634,0.000005040336,0.0008113575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03264317,"threshold_uncertainty_score":0.06490636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576936843636943,"score_gpt":0.3396487879468822,"score_spread":0.3138794195105128,"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."}}