{"id":"W2063099146","doi":"10.1118/1.4740146","title":"Poster — Thur Eve — 38: Review of couch parameters using an FMEA","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Isocenter; Robustness (evolution); DICOM; Computer science; Failure mode and effects analysis; Reliability engineering; Software; Medical physics; Simulation; Medicine; Artificial intelligence; Nuclear medicine; Engineering; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02767085,0.001135118,0.002547909,0.01504334,0.0005085088,0.002085221,0.001678115,0.001068096,0.005394795],"category_scores_gemma":[0.08142405,0.0006480415,0.004989511,0.008658512,0.0008968945,0.002653339,0.001139508,0.000847024,0.0008147886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00253584,"about_ca_system_score_gemma":0.008312661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004392539,"about_ca_topic_score_gemma":0.01008776,"domain_scores_codex":[0.9749458,0.01325689,0.006057057,0.001166955,0.004322517,0.0002507979],"domain_scores_gemma":[0.9114784,0.05938773,0.0116047,0.002990137,0.01409523,0.0004438804],"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":[0.0004929526,0.00007252236,0.002832752,0.3144813,0.005350744,0.0002096984,0.0005917717,0.0008839418,0.001506188,0.0008854719,0.01421262,0.6584799],"study_design_scores_gemma":[0.0003472285,0.001671313,0.03154052,0.6454652,0.02907371,0.001795754,0.001101785,0.001277016,0.005375056,0.003416548,0.2787115,0.0002244122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.002465839,0.9869823,0.004767907,0.002349036,0.0007562862,0.0006504838,0.0006304778,0.00005478832,0.001342837],"genre_scores_gemma":[0.04861513,0.9214061,0.02192081,0.003347646,0.000991236,0.00124984,0.001114691,0.00009036214,0.00126407],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02767085,"threshold_uncertainty_score":0.1463392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2252486975198796,"score_gpt":0.4853267488838128,"score_spread":0.2600780513639331,"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."}}