{"id":"W7133101466","doi":"","title":"Does Machine Learning Deliver? Advancing Applications of Automated Treatment Planning in Radiation Therapy","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Workflow; Automation; Contouring; Radiation treatment planning; Adaptation (eye); Software deployment; Domain (mathematical analysis)","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":[0.008486114,0.000869213,0.0006925859,0.0007974898,0.0005244294,0.004345383,0.001184819,0.002022054,0.003617173],"category_scores_gemma":[0.02955079,0.0004799871,0.0006366028,0.000927593,0.002220116,0.005121573,0.002122625,0.004227426,0.002388013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594901,"about_ca_system_score_gemma":0.001750847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002253635,"about_ca_topic_score_gemma":0.002012649,"domain_scores_codex":[0.9962363,0.001722788,0.0001283871,0.000459826,0.001278057,0.0001746625],"domain_scores_gemma":[0.9876615,0.008865624,0.0004769097,0.001264235,0.001486162,0.0002454909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002156696,0.0001798305,0.005158302,0.0005751954,0.0001378276,0.00005982211,0.0006094801,0.1410185,0.005486825,0.08363554,0.02036251,0.7425604],"study_design_scores_gemma":[0.00004882569,0.0003432073,0.004075598,0.0008161324,0.00008445162,0.000159531,0.000383236,0.5177324,0.01516784,0.3705451,0.09051763,0.0001259584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05011202,0.04125742,0.7829345,0.08474158,0.001353751,0.0001505638,0.0005337848,0.003084101,0.03583231],"genre_scores_gemma":[0.6333797,0.02819388,0.3204076,0.006011645,0.002119548,0.0001658985,0.0006304935,0.001339517,0.007751679],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008486114,"threshold_uncertainty_score":0.04487938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008351444710557711,"score_gpt":0.3492488272091432,"score_spread":0.3408973824985855,"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."}}