{"id":"W2509234038","doi":"10.1118/1.4961842","title":"Sci‐Fri AM: Quality, Safety, and Professional Issues 06: An Evaluation of Incident Reporting and Learning using the Canadian National System for Incident Reporting – Radiation Treatment","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Incident report; Workflow; Population; Suspect; Categorization; Software deployment; Near miss; Computer science; Medical emergency; Medicine; Computer security; Database; Engineering; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05110569,0.001152336,0.0007285964,0.003804342,0.002821918,0.004450357,0.004574303,0.001061455,0.007565339],"category_scores_gemma":[0.1349367,0.0006751772,0.001467636,0.002645836,0.002028468,0.002831463,0.004324099,0.001926605,0.002641079],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01570673,"about_ca_system_score_gemma":0.03303216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4529903,"about_ca_topic_score_gemma":0.4710055,"domain_scores_codex":[0.9682236,0.01049779,0.002052659,0.001839714,0.01609786,0.0012884],"domain_scores_gemma":[0.8756706,0.04372506,0.007099042,0.009769826,0.05206598,0.01166956],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002427626,0.003888503,0.1201469,0.002382075,0.0004335303,0.0001795604,0.01213882,0.004131483,0.003126713,0.001122952,0.1042422,0.7457796],"study_design_scores_gemma":[0.002475709,0.01059165,0.5672965,0.001900561,0.001132324,0.0005523376,0.01349817,0.04479244,0.01157071,0.002040894,0.3432769,0.0008717717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7455786,0.003032266,0.06101486,0.0120759,0.001436967,0.02863467,0.01804607,0.04273216,0.08744845],"genre_scores_gemma":[0.7124674,0.002693835,0.2290248,0.004494101,0.0004157262,0.007613256,0.02007522,0.002489844,0.02072571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9842933,"threshold_uncertainty_score":0.9007071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309539076050131,"score_gpt":0.4527838079913277,"score_spread":0.3218299003863145,"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."}}