{"id":"W4410480866","doi":"10.3390/a18050290","title":"Quantifying Intra- and Inter-Observer Variabilities in Manual Contours for Radiotherapy: Evaluation of an MR Tumor Autocontouring Algorithm for Liver, Prostate, and Lung Cancer Patients","year":2025,"lang":"en","type":"article","venue":"Algorithms","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Radiation therapy; Observer (physics); Prostate cancer; Prostate; Algorithm; Medicine; Computer science; Lung; Radiology; Cancer; Internal medicine; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005765417,0.000182823,0.0003284146,0.0001217606,0.00007751399,0.00004115774,0.00008992043,0.00004393395,0.00001341981],"category_scores_gemma":[0.00001617307,0.0001810692,0.00004620941,0.00008583941,0.00007899022,0.0003784143,0.00002451656,0.00008154099,5.268495e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000141038,"about_ca_system_score_gemma":0.00009001502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006721888,"about_ca_topic_score_gemma":0.00006985641,"domain_scores_codex":[0.9989015,0.00006945361,0.0003336574,0.0003430444,0.0001196568,0.000232674],"domain_scores_gemma":[0.9992555,0.0001621781,0.0001547181,0.0001341578,0.0002556759,0.00003780576],"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":[0.00007713908,0.0001608271,0.05308982,0.0001639426,0.0001515514,1.722125e-7,0.001448439,0.00007905945,0.0006941652,0.0007905062,0.00003546191,0.9433089],"study_design_scores_gemma":[0.006641797,0.0003975494,0.01511318,0.0003555134,0.0001235413,3.552483e-7,0.0005806832,0.9608905,0.01138693,0.003796569,0.0003895487,0.0003238239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.502071,0.001703329,0.4920965,0.00003146323,0.0001673503,0.003616785,0.000260854,0.00003381161,0.0000188718],"genre_scores_gemma":[0.5953916,0.0001046429,0.4002506,0.00006921675,0.0002009245,0.003746948,0.00008720741,0.00005577658,0.00009318886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9608114,"threshold_uncertainty_score":0.7383786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869312599498614,"score_gpt":0.3487875434455778,"score_spread":0.3300944174505916,"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."}}