{"id":"W2067180843","doi":"10.1118/1.1711415","title":"TCP isoeffect analysis using a heterogeneous distribution of radiosensitivity","year":2004,"lang":"en","type":"letter","venue":"Medical Physics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Regional Cancer Foundation; Carleton University","funders":"","keywords":"Confidence interval; Population; Statistics; Distribution (mathematics); Mathematics; Nuclear medicine; Value (mathematics); Homogeneous; Medicine; Mathematical analysis; Combinatorics","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":[0.005156567,0.0004444282,0.001157904,0.001606113,0.0002480515,0.001053547,0.001122708,0.001041077,0.001717048],"category_scores_gemma":[0.02617286,0.0002965839,0.001304646,0.001468276,0.0006737293,0.001142575,0.0006987293,0.001356181,0.0003393474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231295,"about_ca_system_score_gemma":0.0004322082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007864003,"about_ca_topic_score_gemma":0.0006274403,"domain_scores_codex":[0.9971017,0.001607513,0.0001267883,0.0003195256,0.0007504342,0.00009397538],"domain_scores_gemma":[0.9911017,0.00622388,0.0006885009,0.001443626,0.0004648211,0.00007747232],"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":[0.001750705,0.0001919345,0.02622257,0.0009110832,0.001062886,0.005673501,0.0003187132,0.1752189,0.03479721,0.1816461,0.02436645,0.5478399],"study_design_scores_gemma":[0.0002578299,0.0004449753,0.02200379,0.00007447558,0.0005501022,0.008354818,0.00005845248,0.6889135,0.0187657,0.2382227,0.02225549,0.00009816349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04904419,0.002994495,0.939023,0.002127835,0.0002044585,0.0001557683,0.0002018261,0.000773318,0.005475133],"genre_scores_gemma":[0.8390019,0.002976452,0.1510911,0.002373273,0.0004319093,0.0004725048,0.0004121921,0.0004550539,0.002785674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005156567,"threshold_uncertainty_score":0.02727085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3214441492235482,"score_gpt":0.5051126053896587,"score_spread":0.1836684561661105,"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."}}