{"id":"W4387159878","doi":"10.1016/j.ijrobp.2023.06.2326","title":"Toward Global Consensus for MR-Guided Treatment Planning for Pancreatic Tumors on a 1.5 T MR-Linac","year":2023,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Nuclear medicine; Pancreatic cancer; Radiation treatment planning; Linear particle accelerator; Medical physics; Radiology; Cancer; Radiation therapy; Beam (structure); 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":[0.05540797,0.000846575,0.001451015,0.004066923,0.003181868,0.005291306,0.005375178,0.00466577,0.005043928],"category_scores_gemma":[0.05185335,0.0008012502,0.001776215,0.00210974,0.002409384,0.003606419,0.007751439,0.004880528,0.002293036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004182754,"about_ca_system_score_gemma":0.02040068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008949388,"about_ca_topic_score_gemma":0.01166292,"domain_scores_codex":[0.9787895,0.0103729,0.00212068,0.00188358,0.005704523,0.001128804],"domain_scores_gemma":[0.9586758,0.008852562,0.002111398,0.004103982,0.02374522,0.002510999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006172828,0.0004293552,0.01739701,0.001325737,0.0006098045,0.0008317213,0.006758587,0.05834682,0.01255491,0.09614163,0.1151741,0.689813],"study_design_scores_gemma":[0.0004078548,0.0008821122,0.03595174,0.005358735,0.001164965,0.002154802,0.01313895,0.2036318,0.02124741,0.3863896,0.3289196,0.0007524518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03686081,0.005380872,0.8818796,0.03781966,0.002234854,0.0006902537,0.0005748865,0.002645068,0.03191409],"genre_scores_gemma":[0.304115,0.00195887,0.6798094,0.00569991,0.0005685599,0.0006773588,0.001493233,0.001076679,0.00460097],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05540797,"threshold_uncertainty_score":0.2930289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114804125570766,"score_gpt":0.4420557377724442,"score_spread":0.3305753252153676,"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."}}