{"id":"W1988651634","doi":"10.1118/1.4736185","title":"WE‐G‐BRCD‐08: Virtual Couch Shift (VCS) by Online Plan Re‐Optimization for the MRI Linear Accelerator","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Voxel; Imaging phantom; Computer science; Monte Carlo method; Medical imaging; Medical physics; Algorithm; Nuclear medicine; Artificial intelligence; Mathematics; Medicine; Statistics","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":[0.000545227,0.0005855469,0.0002461047,0.0002965729,0.0002064955,0.0004771343,0.0008787384,0.0005595061,0.01265165],"category_scores_gemma":[0.001068161,0.0003906593,0.0004029039,0.0003098852,0.000364522,0.0003121908,0.0008204995,0.00060411,0.002200447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006566066,"about_ca_system_score_gemma":0.0008271797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003404099,"about_ca_topic_score_gemma":0.003413089,"domain_scores_codex":[0.9996679,0.00006699902,0.00001307148,0.00004462578,0.0001777261,0.00002967647],"domain_scores_gemma":[0.9996704,0.00009384863,0.00003012023,0.0001207979,0.00005913052,0.00002570852],"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":[0.00104913,0.0002963416,0.00299788,0.0004569186,0.0001309503,0.0003264841,0.0004739456,0.3096035,0.1386417,0.007987474,0.04750051,0.4905352],"study_design_scores_gemma":[0.0003301389,0.0004614042,0.004011875,0.00004424951,0.00004672138,0.0007420678,0.00003570962,0.7620125,0.1496315,0.002952905,0.07961918,0.0001119284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06404524,0.0006475165,0.8660822,0.0005271011,0.0001586038,0.0002890874,0.001088569,0.05193381,0.0152278],"genre_scores_gemma":[0.3984281,0.0001720407,0.5825003,0.0002495329,0.00002886053,0.0002401953,0.00210006,0.005940269,0.0103406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01265165,"threshold_uncertainty_score":0.04232401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980435058586751,"score_gpt":0.3049402961741047,"score_spread":0.2851359455882372,"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."}}