{"id":"W2071838620","doi":"10.1118/1.2192580","title":"Efficient on‐line setup correction strategies using plan‐intent functions","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research","keywords":"Workload; Image-guided radiation therapy; Computer science; Set (abstract data type); Medical physics; Medical imaging; Artificial intelligence; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006832057,0.0001497563,0.0001553953,0.00002792389,0.000141195,0.00002860544,0.00009194835,0.00004583232,0.0004186421],"category_scores_gemma":[0.000004154759,0.0001282127,0.00008511871,0.0001509702,0.00009921878,0.00004690741,0.00001922337,0.0002753585,0.00001565942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006883865,"about_ca_system_score_gemma":0.00008444146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003045359,"about_ca_topic_score_gemma":0.000003056397,"domain_scores_codex":[0.9990259,0.00002272277,0.0001842517,0.0002050162,0.0003469368,0.0002151692],"domain_scores_gemma":[0.9995765,0.00006043484,0.00007512042,0.0001718832,0.0000437548,0.00007231367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001436935,0.00379066,0.009694767,0.00003179895,0.0002185371,0.00001865282,0.0002808906,0.6829568,0.006946983,0.09009098,0.03069301,0.1751333],"study_design_scores_gemma":[0.001908293,0.0006662405,0.001032767,0.0003289838,0.0001022904,0.00001122444,0.0004953851,0.8700965,0.04373315,0.06223042,0.01830751,0.001087258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06335547,0.00001678287,0.9295415,0.0000914436,0.0006146805,0.0001230494,0.00001997878,0.0001493021,0.006087794],"genre_scores_gemma":[0.9966426,8.842122e-7,0.0009104512,0.00009040232,0.00183418,0.0000181602,0.0000747349,0.00002441028,0.000404107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9332872,"threshold_uncertainty_score":0.5228363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847937523651002,"score_gpt":0.2915621241480698,"score_spread":0.2730827489115598,"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."}}