{"id":"W3202200954","doi":"10.1002/acm2.13437","title":"Natural language processing and machine learning to assist radiation oncology incident learning","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hemophilia Society; McGill University","funders":"","keywords":"Computer science; Usability; Machine learning; Artificial intelligence; Incident report; Process (computing); Feature (linguistics); Natural language processing; Human–computer interaction; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.005164378,0.001968329,0.0005654878,0.002173056,0.000776774,0.002075838,0.002642208,0.001005545,0.007634765],"category_scores_gemma":[0.02159286,0.0006055843,0.001314574,0.001144179,0.0005705897,0.0025702,0.001561738,0.002506695,0.004434439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003324715,"about_ca_system_score_gemma":0.005156655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05100417,"about_ca_topic_score_gemma":0.08887225,"domain_scores_codex":[0.9973434,0.0009675473,0.0002222189,0.0005006609,0.000832146,0.0001340568],"domain_scores_gemma":[0.9873194,0.006650313,0.0009963723,0.001245938,0.003564645,0.0002233521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004594418,0.0006664456,0.0208849,0.001318869,0.0001898385,0.0003981138,0.001238825,0.1499357,0.02117183,0.004926744,0.03651631,0.762293],"study_design_scores_gemma":[0.00005494611,0.0002358445,0.006329271,0.0002233993,0.00008213372,0.000165096,0.0004419809,0.9207152,0.03018215,0.009768898,0.03170886,0.00009219205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03785296,0.0003403024,0.8958319,0.001800563,0.000123904,0.001013038,0.004510337,0.05155886,0.006968163],"genre_scores_gemma":[0.1547801,0.0002732988,0.8309668,0.0005118824,0.00004485251,0.0005129734,0.008271371,0.0009175354,0.003721209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05100417,"threshold_uncertainty_score":0.1014146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559586139776587,"score_gpt":0.3819766495031007,"score_spread":0.3663807881053349,"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."}}