{"id":"W2770741811","doi":"10.1002/acm2.12218","title":"Development and implementation of a radiation therapy incident learning system compatible with local workflow and a national taxonomy","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Health Canada; Natural Sciences and Engineering Research Council of Canada; Partenariat Canadien Contre Le Cancer","keywords":"Workflow; Incident report; Computer science; Software; Radiation oncology; Medical physics; Process management; Radiation therapy; Medical education; Medicine; Engineering; Database; Operating system; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01039164,0.0006521589,0.0004420672,0.00124949,0.00122872,0.002794683,0.0033077,0.000787392,0.007938587],"category_scores_gemma":[0.01941148,0.0006514064,0.0007647594,0.0007693568,0.0006108223,0.002893813,0.00317764,0.002082305,0.003309645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003544049,"about_ca_system_score_gemma":0.01171108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008927043,"about_ca_topic_score_gemma":0.008197053,"domain_scores_codex":[0.9944106,0.001285616,0.0009105359,0.0009111001,0.002047841,0.0004343211],"domain_scores_gemma":[0.9803339,0.003241346,0.001490143,0.003744107,0.009482304,0.001708194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006490299,0.001789088,0.02099591,0.0008442653,0.00007762653,0.0004940337,0.004487782,0.01670369,0.02568631,0.006104178,0.04221949,0.8799487],"study_design_scores_gemma":[0.000856087,0.002566036,0.03990014,0.001065283,0.000243846,0.001296334,0.002800291,0.2073672,0.142232,0.008783615,0.5922301,0.0006590633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09441201,0.0001401951,0.7881193,0.001166766,0.0003179942,0.006109112,0.001474634,0.08684099,0.02141902],"genre_scores_gemma":[0.1062181,0.000100066,0.8768525,0.0002657148,0.00004099429,0.001951834,0.003233256,0.002466545,0.008870957],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01039164,"threshold_uncertainty_score":0.05495691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03480749658249226,"score_gpt":0.3628758993515882,"score_spread":0.3280684027690959,"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."}}