{"id":"W2551710203","doi":"10.1016/j.radonc.2016.11.006","title":"Tumor control probability modeling for stereotactic body radiation therapy of early-stage lung cancer using multiple bio-physical models","year":2016,"lang":"en","type":"review","venue":"Radiotherapy and Oncology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Cancer Institute; American Association of Physicists in Medicine","keywords":"Lung cancer; Stage (stratigraphy); Medicine; Radiation therapy; Oncology; Radiology; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003359085,0.000609291,0.00249884,0.0001753986,0.000152828,0.00003204108,0.0002713749,0.0002624608,0.00005609071],"category_scores_gemma":[0.000007301485,0.0004465914,0.0006125853,0.0001383787,0.0001737986,0.0003432448,0.00001841112,0.0003306964,9.888106e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008143829,"about_ca_system_score_gemma":0.0006550202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789864,"about_ca_topic_score_gemma":0.000003573773,"domain_scores_codex":[0.9974808,0.0003700128,0.0008060275,0.0007053301,0.0001445011,0.0004933797],"domain_scores_gemma":[0.9975708,0.0007898789,0.0009619843,0.0004349186,0.0001294266,0.0001130108],"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":[0.0004004462,0.0003281806,0.0006230064,0.001466262,0.001250844,9.012262e-7,0.0003237662,0.001082427,0.0002895466,0.002006152,0.000008498286,0.99222],"study_design_scores_gemma":[0.005517382,0.0009121358,0.000003954264,0.001792024,0.0004026183,0.000005357557,0.000006402959,0.6940148,0.0000750996,0.003096176,0.2932763,0.0008976838],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002913513,0.5598341,0.4338664,0.00001499272,0.0001167282,0.002764616,0.0004362524,0.00004331017,0.00001007537],"genre_scores_gemma":[0.009039904,0.9794486,0.008750223,0.00004819167,0.001054143,0.001436765,0.00002719772,0.0001638294,0.00003117096],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9913223,"threshold_uncertainty_score":0.9997986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05292155470957056,"score_gpt":0.3937149810604215,"score_spread":0.340793426350851,"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."}}