{"id":"W4400765570","doi":"10.21203/rs.3.rs-4604685/v1","title":"Artificial Intelligence contouring in radiotherapy for organs-at-risk and lymph node areas","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Baie-Comeau","funders":"","keywords":"Contouring; Radiation therapy; Lymph node; Medicine; Medical physics; Radiology; Computer science; Pathology; Computer graphics (images)","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":[0.00114768,0.0004161282,0.0005629277,0.0008852003,0.0003822749,0.001369609,0.000686156,0.001050846,0.003026429],"category_scores_gemma":[0.00470522,0.0004623221,0.0005822606,0.001140675,0.0009806284,0.001148976,0.0007306259,0.001165771,0.0004846527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007823312,"about_ca_system_score_gemma":0.0004911103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003837254,"about_ca_topic_score_gemma":0.002171067,"domain_scores_codex":[0.9996616,0.0001014728,0.00002105365,0.00005939574,0.0001365704,0.00001991121],"domain_scores_gemma":[0.9987158,0.0008835616,0.00008466617,0.00009201204,0.0001872211,0.00003674679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001140102,0.00004479818,0.0008343889,0.0001962842,0.00003752951,0.00008443915,0.0001912103,0.6049265,0.005978409,0.06462172,0.003443537,0.3195272],"study_design_scores_gemma":[0.000007636788,0.00002163799,0.0003995551,0.00002381723,0.000009498988,0.00004390797,0.00001868591,0.9564718,0.002251655,0.03707153,0.003670006,0.00001010674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02276832,0.00242337,0.964334,0.001035958,0.0002691272,0.00004892401,0.00008808766,0.0004632507,0.008568983],"genre_scores_gemma":[0.5271466,0.002705873,0.453047,0.0003016622,0.0002992362,0.00009578236,0.0001970076,0.0003710745,0.01583574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003837254,"threshold_uncertainty_score":0.01012439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0460811458887971,"score_gpt":0.4033118349821728,"score_spread":0.3572306890933757,"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."}}