{"id":"W3173521037","doi":"10.1016/j.brachy.2021.05.091","title":"PRSOR12 Presentation Time: 12:55 PM","year":2021,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Presentation (obstetrics); Surgery","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":[0.0001998674,0.0001041926,0.0002503833,0.00004937017,0.00006684446,0.00003774972,0.00005065008,0.00005878761,0.001772785],"category_scores_gemma":[0.0002285543,0.00008779765,0.0001075221,0.0001333548,0.0000450708,0.000072268,0.00001592301,0.0002588842,0.0002665581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002691398,"about_ca_system_score_gemma":0.0001101675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001428375,"about_ca_topic_score_gemma":0.000001399715,"domain_scores_codex":[0.9990576,0.00007302379,0.0001938811,0.0002228928,0.0002610573,0.0001915677],"domain_scores_gemma":[0.9994205,0.00008709163,0.00005732052,0.0002344921,0.00007285555,0.0001277543],"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":[0.0007709402,0.0008021613,0.04706706,0.0001606265,0.0004579624,0.0009963957,0.00141274,0.000147888,0.3220316,0.001720113,0.1074044,0.5170281],"study_design_scores_gemma":[0.02340596,0.0004341496,0.1396016,0.0003288138,0.0002542336,0.002003692,0.0002153143,0.08366049,0.02561713,0.00234599,0.7214695,0.0006631171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156538,0.002233432,0.007268438,0.02776604,0.0005845463,0.0005054863,0.000002872446,0.0002507324,0.04573471],"genre_scores_gemma":[0.759854,0.001916434,0.04476873,0.02608626,0.003352801,0.00009998304,0.0004470846,0.0001835729,0.1632911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6140651,"threshold_uncertainty_score":0.9991397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124921783448751,"score_gpt":0.3049543800599095,"score_spread":0.293705162225422,"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."}}