{"id":"W4386986227","doi":"10.1016/j.brachy.2023.06.158","title":"PO57","year":2023,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Plan (archaeology); Class (philosophy); Medicine; Computer science; Radiation treatment planning; Process (computing); Quality (philosophy); Medical physics; Planner; Pareto principle; Artificial intelligence; Machine learning; Mathematical optimization; Surgery; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006753588,0.00009436038,0.00009998905,0.00006433002,0.0000694447,0.0000180007,0.0001143927,0.00002027321,0.001153948],"category_scores_gemma":[8.61871e-7,0.00008650354,0.00006265124,0.0002950835,0.00002567421,0.0000982784,0.00001123916,0.00007493471,0.0001060462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009051917,"about_ca_system_score_gemma":0.00001233367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001765449,"about_ca_topic_score_gemma":2.782767e-7,"domain_scores_codex":[0.9994469,0.00001629745,0.00009584848,0.0001522656,0.00008390308,0.0002048415],"domain_scores_gemma":[0.9996666,0.00003044017,0.00003482511,0.0002151447,0.00001580247,0.000037165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000229477,0.00007291075,0.05578067,0.000003706609,0.00009640239,0.000006740321,0.0004054299,0.000123327,0.02193749,0.07211369,0.03312373,0.816313],"study_design_scores_gemma":[0.0008024028,0.0001153425,0.01109937,0.00001316187,0.000004452028,0.000002051287,0.00009086786,0.001123326,0.0397637,0.07306494,0.8734863,0.0004340622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3875018,0.0003796892,0.5579798,0.001682897,0.0005144069,0.0006282828,0.00004740349,0.003152478,0.04811318],"genre_scores_gemma":[0.9712448,0.00008654698,0.01642992,0.0006194428,0.0009527141,0.0001413151,0.00005768547,0.00008717339,0.01038043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8403626,"threshold_uncertainty_score":0.9997591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114905551211665,"score_gpt":0.2975753188050245,"score_spread":0.286084763683858,"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."}}