{"id":"W3017224233","doi":"10.1016/j.brachy.2020.03.004","title":"Conventional vs machine learning–based treatment planning in prostate brachytherapy: Results of a Phase I randomized controlled trial","year":2020,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Randomized controlled trial; Brachytherapy; Prostate brachytherapy; Prostate; Medical physics; Radiation treatment planning; Internal medicine; 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":[0.002626946,0.001190467,0.002848315,0.0004094585,0.0002604922,0.0008799864,0.0009925152,0.001374471,0.003675361],"category_scores_gemma":[0.003630189,0.0005453666,0.002181912,0.0006231278,0.001062573,0.001077629,0.0003248924,0.00249539,0.0004074189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008462061,"about_ca_system_score_gemma":0.0007255134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108084,"about_ca_topic_score_gemma":0.001054169,"domain_scores_codex":[0.9986749,0.0008571761,0.00006552867,0.0002061616,0.0001226013,0.00007355729],"domain_scores_gemma":[0.998086,0.001240197,0.0003601231,0.0001230847,0.00007056231,0.0001200975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9328175,0.004454974,0.0008133415,0.001686432,0.003035478,0.0000227204,0.00004272016,0.004084369,0.001374608,0.0002464676,0.0007302603,0.05069119],"study_design_scores_gemma":[0.9293488,0.05617763,0.003418304,0.0002095624,0.002275837,0.00004310022,0.00002645609,0.006223283,0.00058151,0.0007493608,0.0009058792,0.00004031264],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481101,0.03610276,0.00683823,0.001277519,0.0009262728,0.002811034,0.0007693725,0.0002526958,0.002912045],"genre_scores_gemma":[0.982298,0.006639388,0.005734435,0.000788466,0.0004601626,0.002043589,0.0004781923,0.00004381463,0.001513933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003675361,"threshold_uncertainty_score":0.01389277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03112104504853537,"score_gpt":0.3296887435266274,"score_spread":0.298567698478092,"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."}}