{"id":"W2089203416","doi":"10.1118/1.4889548","title":"TH‐A‐BRF‐02: BEST IN PHYSICS (JOINT IMAGING‐THERAPY) – Modeling Tumor Evolution for Adaptive Radiation Therapy","year":2014,"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":"University of Toronto","funders":"","keywords":"Volume (thermodynamics); Voxel; Radiation therapy; Constant (computer programming); Markov chain; Nuclear medicine; Mathematics; Range (aeronautics); Computer science; Statistics; Algorithm; Artificial intelligence; Medicine; Physics; Radiology; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001257779,0.0006041232,0.0006296035,0.0005412872,0.0003103814,0.0008443559,0.001322591,0.001276696,0.001887161],"category_scores_gemma":[0.003286361,0.0004627664,0.0009901546,0.0004221403,0.0005675926,0.0007936326,0.0005584389,0.0009184614,0.0006536882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376038,"about_ca_system_score_gemma":0.001437569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105915,"about_ca_topic_score_gemma":0.007963246,"domain_scores_codex":[0.9996676,0.0001136045,0.00001352462,0.00005958344,0.0001217643,0.00002396695],"domain_scores_gemma":[0.9989315,0.0005623886,0.0001542462,0.0001218941,0.0001779187,0.00005217785],"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":[0.00002657624,0.00003430523,0.0009077057,0.00004678174,0.00002320759,0.00003159475,0.00002594228,0.9748164,0.001628261,0.005692612,0.001246017,0.01552056],"study_design_scores_gemma":[0.000004581961,0.00001555746,0.0001642411,0.000004423988,0.000002942526,0.00001581581,0.000001706263,0.9967925,0.0004486006,0.001483569,0.001061614,0.000004545203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04353904,0.0006249269,0.9476283,0.0008500346,0.00009922328,0.0001376964,0.0003187376,0.0009135584,0.005888411],"genre_scores_gemma":[0.552972,0.0006998467,0.4365834,0.0003065216,0.0001010102,0.0004911271,0.0007825423,0.000465615,0.007598051],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0105915,"threshold_uncertainty_score":0.02105969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987474709222365,"score_gpt":0.2843052474337806,"score_spread":0.264430500341557,"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."}}