{"id":"W2021560124","doi":"10.1118/1.2031043","title":"Sci‐AM1 Sat ‐ 02: Dynamic intraoperative prostate brachytherapy","year":2005,"lang":"en","type":"article","venue":"Medical Physics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Brachytherapy; Prostate brachytherapy; Segmentation; Artificial intelligence; Computer vision; Computer science; Image segmentation; Prostate; Medicine; Robot; Radiology; Radiation therapy","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":[0.000412438,0.0003311226,0.0002196998,0.0003608383,0.0001771182,0.0004641197,0.0006521291,0.0003130384,0.01058434],"category_scores_gemma":[0.0005092594,0.0002400505,0.0002672577,0.0003288504,0.0001706749,0.000332767,0.0006137143,0.0003867812,0.003414962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757827,"about_ca_system_score_gemma":0.000414635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007203079,"about_ca_topic_score_gemma":0.0009031107,"domain_scores_codex":[0.9997819,0.00004118554,0.000009543737,0.00003576386,0.0001129808,0.0000186003],"domain_scores_gemma":[0.999705,0.00006081457,0.00002238346,0.00007947526,0.00009820793,0.00003410852],"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":[0.001617644,0.0002988394,0.007020577,0.0006315428,0.000111977,0.0003815869,0.000155912,0.03015656,0.5869097,0.005286558,0.01994151,0.3474876],"study_design_scores_gemma":[0.0003243687,0.002230534,0.0346914,0.00006040192,0.0001282764,0.004094309,0.0000465013,0.2866465,0.5072566,0.001256083,0.1631203,0.0001447613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2286804,0.0009867672,0.6620131,0.0005127443,0.0003958468,0.0005550663,0.003500771,0.02204927,0.08130589],"genre_scores_gemma":[0.6674674,0.0004446653,0.2836948,0.0003815169,0.000171625,0.0005233226,0.005438625,0.001862769,0.04001523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01058434,"threshold_uncertainty_score":0.0354082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005599031547186777,"score_gpt":0.242500658316402,"score_spread":0.2369016267692152,"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."}}