{"id":"W2108378525","doi":"10.3109/02841861003649224","title":"Datamining approaches for modeling tumor control probability","year":2010,"lang":"en","type":"article","venue":"Acta Oncologica","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; National Institutes of Health; Varian Medical Systems","keywords":"Resampling; Logistic regression; Bivariate analysis; Poisson regression; Support vector machine; Poisson distribution; Machine learning; Artificial intelligence; Computer science; Medicine; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003089725,0.000140815,0.0002309797,0.0000195371,0.0001440199,0.00003328138,0.0002655992,0.00005247792,0.0001374396],"category_scores_gemma":[0.00004709317,0.0001099402,0.00008042519,0.00004641756,0.00006364799,0.0001865704,0.00003526125,0.000274745,9.03755e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002383559,"about_ca_system_score_gemma":0.00005604914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000012667,"about_ca_topic_score_gemma":0.000002817163,"domain_scores_codex":[0.999146,0.00002532312,0.0001929265,0.0003129798,0.00006623486,0.0002565785],"domain_scores_gemma":[0.9992686,0.0001988025,0.0001042369,0.0003304764,0.00004343866,0.0000544809],"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":[0.0006376845,0.002293281,0.06918505,0.00008654186,0.0003903033,0.00000349179,0.0006984753,0.005878975,0.2108995,0.2475634,0.002788527,0.4595747],"study_design_scores_gemma":[0.003010156,0.0007489559,0.000814474,0.00001675444,0.00007968322,0.000004472019,0.0002064929,0.6824844,0.007005462,0.2085071,0.09626499,0.0008570385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2312257,0.000008009375,0.7636203,0.0002981892,0.00008821938,0.0009150165,0.00006617861,0.000160004,0.003618389],"genre_scores_gemma":[0.7381214,3.190953e-7,0.261001,0.00009169923,0.0002602208,0.0004573472,0.00002421784,0.00001359989,0.00003009425],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6766055,"threshold_uncertainty_score":0.448323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05984050918157831,"score_gpt":0.3047560628157062,"score_spread":0.2449155536341279,"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."}}