{"id":"W2097839938","doi":"10.1016/j.brachy.2015.02.225","title":"Line Markers for MRI Only Brachytherapy","year":2015,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Brachytherapy; Medicine; Biomedical engineering; Image quality; Nuclear medicine; Radiology; Medical physics; Computer science; Artificial intelligence; Radiation therapy; Image (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":[],"consensus_categories":[],"category_scores_codex":[0.0004683743,0.0001781803,0.0003076813,0.00008082636,0.00007071022,0.00002610129,0.0001432938,0.0001168249,0.0001654291],"category_scores_gemma":[0.00009623553,0.0001457815,0.0001483117,0.0002121845,0.0001025804,0.00007365365,0.00001547415,0.0001857546,0.00004624164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006295471,"about_ca_system_score_gemma":0.0002543005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002510092,"about_ca_topic_score_gemma":0.000004669623,"domain_scores_codex":[0.998767,0.0000263666,0.000297305,0.0003253442,0.0002730447,0.0003110062],"domain_scores_gemma":[0.9987069,0.00009196014,0.00008933089,0.0005031325,0.0002069789,0.000401633],"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":[0.001514086,0.0007645193,0.004383825,0.00007545058,0.0001563233,0.00002088371,0.0002963234,0.000005444797,0.009011746,0.01118388,0.6980091,0.2745784],"study_design_scores_gemma":[0.003863523,0.001131758,0.001095694,0.0000587011,0.00003922951,0.0001530261,0.00005296618,0.003626789,0.002727693,0.005314851,0.9817241,0.0002116324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2150298,0.002490421,0.5451162,0.2172478,0.0006411718,0.005501598,0.00008447302,0.001836757,0.01205172],"genre_scores_gemma":[0.4419749,0.001326942,0.4914699,0.04124091,0.002475914,0.001149319,0.0003888316,0.0002172752,0.01975596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.283715,"threshold_uncertainty_score":0.5944798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05373373869635811,"score_gpt":0.3662040727797341,"score_spread":0.312470334083376,"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."}}