{"id":"W7036925869","doi":"","title":"DBCG RT Nation Automation:National consistency in delineations in breast cancer patients","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Breast cancer; Consistency (knowledge bases); Cancer; Stage (stratigraphy); MEDLINE","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001453839,0.0002340071,0.0002489374,0.001813283,0.0003024478,0.0001586731,0.0002809572,0.000448807,0.001832915],"category_scores_gemma":[0.001637081,0.000265483,0.00007451111,0.003223599,0.0000895597,0.0005179687,0.00001689053,0.000468707,0.0001469629],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002491352,"about_ca_system_score_gemma":0.006139266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006625067,"about_ca_topic_score_gemma":0.05229542,"domain_scores_codex":[0.9966906,0.0003061178,0.0009668636,0.0004737249,0.001256635,0.0003060435],"domain_scores_gemma":[0.9965698,0.0003463874,0.0002715923,0.000127454,0.002616863,0.00006790949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000391679,0.0008613443,0.06093033,0.0002493332,0.00005837176,0.000001573603,0.0357154,0.0005429955,0.00001762217,0.8549609,0.02722642,0.01939658],"study_design_scores_gemma":[0.001092128,0.00002497935,0.770085,0.001831008,0.00007323828,0.000001622192,0.0399867,0.004436496,0.00003346799,0.1413128,0.03976824,0.001354247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3411452,0.0004830807,0.00009525958,0.01342691,0.01615348,0.00201678,0.0004412543,0.0003133161,0.6259247],"genre_scores_gemma":[0.8614192,0.0005584419,0.01741213,0.001585365,0.00293351,0.00314977,0.01491567,0.0001428381,0.09788309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.713648,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04222836713074427,"score_gpt":0.4529975245761607,"score_spread":0.4107691574454164,"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."}}