{"id":"W4310691439","doi":"10.1016/j.brachy.2022.09.035","title":"PHSPP05  Presentation Time: 3:10 PM","year":2022,"lang":"en","type":"article","venue":"Brachytherapy","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Nuclear medicine; Brachytherapy; Voxel; Quality assurance; Scanner; Biomedical engineering; Radiology; Radiation therapy; Artificial intelligence; Computer science","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":[0.0001678722,0.0001012989,0.0002077314,0.00008705281,0.0001358719,0.00001445648,0.00009615273,0.00002892229,0.1112058],"category_scores_gemma":[0.00002128122,0.00009950582,0.0001011903,0.0002544645,0.00002063308,0.00006765062,0.00003888392,0.0001670119,0.0006586556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001459642,"about_ca_system_score_gemma":0.0000964663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003130948,"about_ca_topic_score_gemma":0.000001792511,"domain_scores_codex":[0.9989254,0.00008347703,0.0001776273,0.0002283945,0.0004084669,0.000176647],"domain_scores_gemma":[0.9993883,0.0001131054,0.0000780355,0.0003050627,0.00004288933,0.00007262713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009761996,0.0003595871,0.005564197,0.00002593875,0.0001076011,0.00004500717,0.0004870268,0.0001711214,0.007074846,0.00009966678,0.9487172,0.03637156],"study_design_scores_gemma":[0.00519362,0.0007493661,0.01076515,0.00001725188,0.00004475789,0.00009318321,0.00008900421,0.0009617087,0.003845728,0.0002465151,0.9778378,0.0001559176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8072727,0.006171124,0.0001794339,0.05448142,0.001500597,0.004053124,0.000294109,0.0008165078,0.125231],"genre_scores_gemma":[0.7064427,0.001695861,0.004589109,0.02677041,0.003000621,0.005583377,0.001632554,0.0002881627,0.2499972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1247661,"threshold_uncertainty_score":0.8896067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185002983218691,"score_gpt":0.3091472381654385,"score_spread":0.2906469398435694,"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."}}