{"id":"W2067516580","doi":"10.1118/1.3611985","title":"SU‐E‐T‐34: Time Series Analysis of Skin Reactions during Heck and Neck IMRT","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Juravinski Cancer Centre","funders":"","keywords":"Medicine; Head and neck; Erythema; Nuclear medicine; Thermoluminescent dosimeter; Dosimetry; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003463585,0.0002405807,0.0002400207,0.0003666726,0.0001080576,0.0002011113,0.0001521377,0.0002316378,0.001394679],"category_scores_gemma":[0.001436018,0.0000830036,0.0002927255,0.0003093103,0.0001105498,0.0001745139,0.0001021588,0.0002003482,0.0002831727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741819,"about_ca_system_score_gemma":0.0001454882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034494,"about_ca_topic_score_gemma":0.001849043,"domain_scores_codex":[0.9998485,0.00004066663,0.000007703783,0.00003392598,0.00005081652,0.00001831839],"domain_scores_gemma":[0.999635,0.0001524786,0.00006733026,0.00003761989,0.00007110653,0.0000364445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006622732,0.001299,0.3753256,0.0003323372,0.000363729,0.0006175935,0.0005248476,0.06719437,0.2121768,0.0004634938,0.003221049,0.3318585],"study_design_scores_gemma":[0.00004219061,0.002951032,0.6469959,0.0000109227,0.00009574259,0.0009967601,0.0001263452,0.3107781,0.03611561,0.0002348809,0.001601345,0.00005124233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991155,0.00006572047,0.008006946,0.000021242,0.000009314462,0.00002174755,0.0002416118,0.0001404949,0.0003379639],"genre_scores_gemma":[0.996415,0.00002644389,0.002654119,0.000005920536,0.000006486067,0.00001792969,0.0004998233,0.00001517045,0.0003591173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002034494,"threshold_uncertainty_score":0.004665673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122056516939406,"score_gpt":0.2835665332042671,"score_spread":0.2713608815103264,"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."}}