{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005486077,0.0001412663,0.0004490445,0.00003214611,0.00004212064,0.00001142852,0.0003893025,0.0002700936,0.0000758074],"category_scores_gemma":[0.0003321834,0.0001073857,0.0001763085,0.000127898,0.0001875658,0.00009941852,0.00007279836,0.001446838,0.0000469583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003938291,"about_ca_system_score_gemma":0.000053465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.252603e-7,"about_ca_topic_score_gemma":3.850921e-7,"domain_scores_codex":[0.9982689,0.000006275981,0.0009242654,0.0001028982,0.0004677343,0.0002299521],"domain_scores_gemma":[0.9987762,0.0005152825,0.000185458,0.0001747498,0.00004810566,0.0003002132],"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":[0.00004866787,0.0001706962,0.00002479841,0.00001131901,0.00007472503,0.00002122913,0.00004560417,0.00267024,0.008285196,0.003030627,0.01178257,0.9738343],"study_design_scores_gemma":[0.007305688,0.001061449,0.0008924586,0.0006740798,0.0001651228,0.0001118875,0.0006044215,0.006901563,0.1812252,0.07750351,0.7224605,0.001094159],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8970624,0.0005403627,0.08710992,0.001885807,0.001609191,0.0001276808,0.00000255931,0.0004192869,0.01124275],"genre_scores_gemma":[0.9767106,0.0009528394,0.01881821,0.0005968946,0.002859569,0.000001816786,7.326904e-7,0.00003211313,0.00002728164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9727402,"threshold_uncertainty_score":0.6285872,"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."}}