{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008849575,0.0005795095,0.0005406177,0.0009425186,0.0006092533,0.002255063,0.0008592108,0.00140772,0.01161537],"category_scores_gemma":[0.003998707,0.0004124242,0.000474805,0.0009007011,0.0006605746,0.001689935,0.001052191,0.001529785,0.006828096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004342532,"about_ca_system_score_gemma":0.0006826252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004926269,"about_ca_topic_score_gemma":0.0004760911,"domain_scores_codex":[0.9994241,0.0002583613,0.00005795143,0.00007807817,0.0001386883,0.00004291182],"domain_scores_gemma":[0.9985061,0.0004950147,0.0004462446,0.0002702494,0.0001935783,0.00008891107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002900291,0.0002188293,0.003839631,0.003755903,0.000134147,0.004124282,0.0009606596,0.004322157,0.3085414,0.08560041,0.04759475,0.5380076],"study_design_scores_gemma":[0.0001800436,0.001206786,0.004609598,0.001175839,0.0003076195,0.01955986,0.00021787,0.006932548,0.2925119,0.0121256,0.6610166,0.0001557256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03945111,0.06867953,0.783478,0.0053961,0.003082823,0.0004733753,0.001075273,0.007081522,0.09128221],"genre_scores_gemma":[0.5154322,0.0256471,0.3974565,0.00437456,0.0009467756,0.0006639723,0.0013714,0.003929041,0.05017852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01161537,"threshold_uncertainty_score":0.03885728,"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."}}