{"id":"W2006028494","doi":"10.1016/j.ijrobp.2012.01.010","title":"A Three-Isocenter Jagged-Junction IMRT Approach for Craniospinal Irradiation Without Beam Edge Matching for Field Junctions","year":2012,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Isocenter; Medicine; Enhanced Data Rates for GSM Evolution; Beam (structure); Irradiation; Matching (statistics); Optics; Nuclear medicine; Physics; Computer vision; Nuclear physics; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005943705,0.0002491241,0.0004016032,0.0001619125,0.0002836595,0.00004086588,0.0003458616,0.0001935454,0.00005792642],"category_scores_gemma":[0.00008012396,0.000234274,0.0003594718,0.0001257364,0.00006834613,0.0008796764,0.00003899149,0.0003723829,0.000002391657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004593162,"about_ca_system_score_gemma":0.0001971342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002600395,"about_ca_topic_score_gemma":0.000001429693,"domain_scores_codex":[0.9984815,0.00006655376,0.0006837012,0.0002343513,0.000180809,0.000353052],"domain_scores_gemma":[0.9975076,0.0003375132,0.001139784,0.0001470415,0.0007518901,0.0001161668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001074249,0.001514535,0.6218364,0.00002534153,0.001496838,2.978187e-7,0.001311532,0.002026803,0.0106506,0.1006719,0.008713382,0.2506782],"study_design_scores_gemma":[0.02534479,0.006000498,0.03544915,0.0001465602,0.0008839983,0.0001397971,0.0006792856,0.05739615,0.0189726,0.3581879,0.4948539,0.001945464],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0339085,0.0001937074,0.9605424,0.0007343812,0.003480368,0.0006396057,0.00009985001,0.00005995524,0.0003412353],"genre_scores_gemma":[0.8225554,0.00004482026,0.1655105,0.0006961748,0.01051312,0.0002273382,0.0003356028,0.00005707763,0.00005998696],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7950319,"threshold_uncertainty_score":0.9553418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141188511426895,"score_gpt":0.3402183543762861,"score_spread":0.3188064692620172,"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."}}