{"id":"W4249102822","doi":"10.1120/jacmp.2024.25332","title":"Virtual Micro MLC Commissioning","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Cancer Agency","funders":"","keywords":"Software; Computer science; Dosimetry; Truncation (statistics); Nuclear medicine; Medicine; 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":[0.001230548,0.0005433847,0.0006539913,0.0006039862,0.0005145808,0.00179085,0.001117843,0.0005947236,0.0144141],"category_scores_gemma":[0.00534695,0.0005103489,0.0003312553,0.0007032084,0.0006273396,0.001065097,0.001358759,0.0008995154,0.001664319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569501,"about_ca_system_score_gemma":0.001190126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230368,"about_ca_topic_score_gemma":0.00223958,"domain_scores_codex":[0.9983976,0.0002386112,0.00007581484,0.0002106805,0.0009746471,0.0001025503],"domain_scores_gemma":[0.9960039,0.001405419,0.0002740404,0.001337855,0.0008127188,0.0001660263],"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":[0.001853528,0.0001622964,0.01169185,0.0007737361,0.0001636081,0.001661706,0.001649259,0.1804236,0.2285033,0.03941705,0.03848558,0.4952146],"study_design_scores_gemma":[0.000184247,0.001052981,0.008055956,0.00007154098,0.00008393002,0.002181416,0.0002268132,0.3582414,0.4787104,0.005778626,0.1451622,0.0002505248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1642967,0.001127592,0.7539219,0.0007659292,0.0006427008,0.0004443282,0.00130348,0.03029615,0.04720124],"genre_scores_gemma":[0.7913282,0.000167593,0.1967055,0.0001933878,0.00006630813,0.0002618823,0.0004935872,0.003147625,0.007635903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0144141,"threshold_uncertainty_score":0.04821998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235435977339631,"score_gpt":0.3183972043065402,"score_spread":0.2960428445331439,"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."}}