{"id":"W3213020083","doi":"10.1002/acm2.13415","title":"Adaptive radiation therapy strategies in the treatment of prostate cancer patients using hypofractionated VMAT","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Contouring; Medicine; Radiation treatment planning; Nuclear medicine; Radiation therapy; Prostate cancer; Rectum; Prostate; Cone beam computed tomography; Image-guided radiation therapy; Tomotherapy; Medical physics; Radiology; Cancer; Computed tomography; Surgery; Computer science; Internal medicine","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":[0.0003063546,0.000253935,0.0001974266,0.0003541427,0.0001318688,0.0002059487,0.0002667097,0.0001370051,0.0003827344],"category_scores_gemma":[0.0007815426,0.0001144079,0.0002967485,0.0002459996,0.0001653317,0.0001435337,0.0001603335,0.000137026,0.00006446704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293155,"about_ca_system_score_gemma":0.0002103916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009099697,"about_ca_topic_score_gemma":0.001552864,"domain_scores_codex":[0.9998173,0.00006240897,0.00001179878,0.00003646708,0.00005438193,0.00001763693],"domain_scores_gemma":[0.9998431,0.00004750796,0.00005299264,0.0000188859,0.00002197017,0.00001545703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001905704,0.001379892,0.1349957,0.0003949175,0.0006686028,0.0005240746,0.0004858974,0.09618617,0.2140406,0.0007420298,0.0004547929,0.5482216],"study_design_scores_gemma":[0.001022642,0.04167172,0.6438342,0.0001786103,0.001285627,0.008256255,0.0006001695,0.1208284,0.163023,0.002177382,0.01697607,0.000145918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857963,0.002307588,0.01076848,0.00004067371,0.000008209434,0.000063048,0.00003773542,0.00007080819,0.0009070565],"genre_scores_gemma":[0.9943823,0.0003663418,0.004886291,0.00002431295,0.000005941354,0.00002375173,0.00005568745,0.00001043169,0.0002449505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009099697,"threshold_uncertainty_score":0.001809359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04141956212039754,"score_gpt":0.3889759026966387,"score_spread":0.3475563405762412,"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."}}