{"id":"W4296162121","doi":"10.1177/15533506221106258","title":"Implementation of an Innovative Technology Called the OR Black Box: A Feasibility Study","year":2022,"lang":"en","type":"article","venue":"Surgical Innovation","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Region Hovedstaden","keywords":"Medicine; Black box; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001309905,0.0001231448,0.0001800144,0.0004946805,0.000313696,0.00006917628,0.0004105919,0.00003915315,0.002302865],"category_scores_gemma":[0.0001340182,0.00008235693,0.00001772655,0.01005402,0.000144835,0.0006955367,0.0004541077,0.0002353387,0.00001438692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005226863,"about_ca_system_score_gemma":0.0000617578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005949244,"about_ca_topic_score_gemma":0.0003073386,"domain_scores_codex":[0.9984943,0.00004576205,0.0005896764,0.0002964548,0.0004014024,0.0001723987],"domain_scores_gemma":[0.9982175,0.00004175576,0.0004377344,0.0003720063,0.0009281619,0.000002833872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00173352,0.003684807,0.4487752,0.0001430169,0.0001315924,0.00006093855,0.001064855,0.0002194003,0.0023681,0.4011752,0.00228422,0.1383591],"study_design_scores_gemma":[0.008734017,0.001528667,0.5550793,0.00003198014,0.0001708318,0.00004062509,0.1257207,0.005174375,0.004610522,0.03841127,0.2591971,0.001300585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962967,0.000004070146,0.000279701,0.001577397,0.0001815706,0.0008651228,0.00001685114,0.00007534751,0.0007032356],"genre_scores_gemma":[0.9990318,5.243011e-7,0.00003873786,0.0003298606,0.0001533716,0.0001269434,0.0002344675,0.00001089223,0.00007340215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3627639,"threshold_uncertainty_score":0.9986092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124119725725676,"score_gpt":0.3925096174608605,"score_spread":0.2683898917351846,"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."}}