{"id":"W4281745465","doi":"10.1002/acm2.13662","title":"Machine learning for contour classification in TG‐263 noncompliant databases","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Database; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.001501999,0.0001202834,0.0004348803,0.00005012666,0.00007666628,0.00001215267,0.0002813965,0.00004745414,0.000105927],"category_scores_gemma":[0.0004248269,0.0001097796,0.0001645401,0.0001784649,0.00006949014,0.00006037368,0.00006261509,0.001465078,0.000005924555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008487955,"about_ca_system_score_gemma":0.00008902789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003951334,"about_ca_topic_score_gemma":0.000003250088,"domain_scores_codex":[0.9980255,0.00006331191,0.0009839487,0.0001411171,0.0005727732,0.0002132995],"domain_scores_gemma":[0.9983034,0.001083008,0.0002457153,0.0001346687,0.00004304721,0.0001901718],"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":[0.001197944,0.001940438,0.01060473,0.0002724321,0.0003467925,0.0001545192,0.0005888774,0.1172217,0.003482812,0.02217125,0.02064538,0.8213731],"study_design_scores_gemma":[0.008139568,0.0005546088,0.00594067,0.0001614028,0.0001241635,0.00005792138,0.0009453367,0.7454216,0.0004697773,0.01000698,0.2276427,0.0005351864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7529005,0.001383205,0.2237152,0.004793803,0.005602466,0.001052894,0.0001177067,0.0003306119,0.01010361],"genre_scores_gemma":[0.9970502,0.0001754298,0.001298027,0.0004044907,0.0009790038,0.0000164216,0.00002709607,0.00003169919,0.00001758704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.820838,"threshold_uncertainty_score":0.6365115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07719200185565266,"score_gpt":0.3516632972821878,"score_spread":0.2744712954265351,"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."}}