{"id":"W2035006336","doi":"10.1118/1.4735404","title":"SU‐E‐T‐317: Dynamic Modulated Brachytherapy (DMBT): Robotic Applicator Design","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Brachytherapy; Dosimetry; Medical physics; Medical imaging; Radiation therapy; Nuclear medicine; Computer science; Physics; Medicine; Radiology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000259562,0.0002923624,0.0002214187,0.000188332,0.0001083293,0.0002358955,0.0007557512,0.000474012,0.002517954],"category_scores_gemma":[0.0002974714,0.0002242818,0.0002494455,0.0001821093,0.0001866775,0.0002974714,0.0002022949,0.0001985489,0.001346543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002473982,"about_ca_system_score_gemma":0.0004223865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002279539,"about_ca_topic_score_gemma":0.0003416575,"domain_scores_codex":[0.9997618,0.00002644606,0.00001314399,0.00005459731,0.0001174571,0.0000266066],"domain_scores_gemma":[0.9998653,0.00001311169,0.00003734374,0.00002042184,0.00004256808,0.00002130066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004091332,0.0001584069,0.002805869,0.0007976824,0.00004758786,0.0002942606,0.0000907012,0.008382776,0.8497658,0.003609999,0.005461754,0.1281759],"study_design_scores_gemma":[0.0002425887,0.004495761,0.01927852,0.00005276853,0.0001542623,0.007098006,0.00003849635,0.07727975,0.7659655,0.0007447853,0.1245198,0.0001298981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2414499,0.0016333,0.7277077,0.0005205254,0.0002062946,0.000636215,0.0007566308,0.004700912,0.0223885],"genre_scores_gemma":[0.6102085,0.0005158455,0.370275,0.0002469055,0.00004005815,0.0005389742,0.0007346502,0.0004108716,0.01702921],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002517954,"threshold_uncertainty_score":0.008423448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159199859747651,"score_gpt":0.248438914993011,"score_spread":0.2325189290182459,"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."}}