{"id":"W2077491831","doi":"10.1120/jacmp.v6i2.2032","title":"Virtual micro MLC commissioning","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Cancer Agency","funders":"","keywords":"Computer science; Medical physics; Physics","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":[0.001388482,0.0005576485,0.0007280494,0.000718849,0.000507098,0.001930732,0.001306153,0.0006205944,0.0144933],"category_scores_gemma":[0.00637338,0.0005522549,0.0003503681,0.000829764,0.0006405709,0.001262857,0.001527607,0.001006028,0.00165034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522523,"about_ca_system_score_gemma":0.001276247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369993,"about_ca_topic_score_gemma":0.002428787,"domain_scores_codex":[0.9980691,0.0002833889,0.00009040109,0.0002689333,0.00116384,0.0001243359],"domain_scores_gemma":[0.9948185,0.001799612,0.000319984,0.001766708,0.001078083,0.0002170629],"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":[0.002076808,0.0001673611,0.01172733,0.0007545078,0.0001638182,0.00152714,0.001556995,0.1746905,0.1814297,0.03607377,0.03503539,0.5547967],"study_design_scores_gemma":[0.0002044238,0.001140107,0.007987525,0.00007178208,0.00009390539,0.002515659,0.0002317371,0.3529984,0.488382,0.006464496,0.1396434,0.0002664361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1674012,0.001080333,0.7517011,0.0006780345,0.0005858751,0.0004046664,0.001294468,0.03388034,0.04297399],"genre_scores_gemma":[0.7821068,0.0001511248,0.2056417,0.0002032554,0.0000623658,0.0002237977,0.0005929183,0.003676994,0.007340965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0144933,"threshold_uncertainty_score":0.04848486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036599906343418,"score_gpt":0.3629656420429161,"score_spread":0.3263657356994982,"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."}}