{"id":"W4212880539","doi":"10.1016/j.adro.2022.100925","title":"Head and Neck Radiation Therapy Patterns of Practice Variability Identified as a Challenge to Real-World Big Data: Results From the Learning from Analysis of Multicentre Big Data Aggregation (LAMBDA) Consortium","year":2022,"lang":"en","type":"article","venue":"Advances in Radiation Oncology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint John Regional Hospital; Dalhousie University","funders":"National Cancer Institute; University of Michigan; Varian Medical Systems; U.S. Department of Veterans Affairs","keywords":"Medicine; Big data; Standardization; Medical physics; Contouring; Data set; Audit; Clinical trial; Clinical Practice; Data science; Data mining; Artificial intelligence; Computer science; Pathology; Family 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":[0.0462237,0.0003963161,0.0005970655,0.00196887,0.0007932833,0.002573641,0.001592426,0.0007674112,0.0005186148],"category_scores_gemma":[0.1487754,0.0003159974,0.00160728,0.004866796,0.001221511,0.002110909,0.003206036,0.001200164,0.0001318813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017527,"about_ca_system_score_gemma":0.003004896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008014788,"about_ca_topic_score_gemma":0.00668895,"domain_scores_codex":[0.9615477,0.02668859,0.003418255,0.002715257,0.004761164,0.000868977],"domain_scores_gemma":[0.7987136,0.1177617,0.03979891,0.02505857,0.01551133,0.003155828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004687893,0.0001817266,0.9381576,0.0003619774,0.001069883,0.0001367182,0.002780334,0.005026026,0.0001505246,0.001461061,0.005294689,0.04491068],"study_design_scores_gemma":[0.0001253044,0.0003772517,0.9363176,0.0005661572,0.000651441,0.0002837618,0.00534767,0.03805684,0.0008245941,0.008027245,0.009301893,0.0001201184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741443,0.001237924,0.01363175,0.005226714,0.00008447641,0.0003244315,0.003790994,0.000126085,0.001433317],"genre_scores_gemma":[0.9867508,0.0003233475,0.007775496,0.000673752,0.00007596044,0.0002072855,0.004051932,0.00004986455,0.00009150282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0462237,"threshold_uncertainty_score":0.2444572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05450911419968633,"score_gpt":0.3916915520251117,"score_spread":0.3371824378254254,"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."}}