{"id":"W4412428296","doi":"10.1308/rcsann.2024.0107","title":"The Birmingham Mandible and Mid-face (BruMM) rules: interim data analysis","year":2025,"lang":"en","type":"article","venue":"Annals of The Royal College of Surgeons of England","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Confidence interval; Radiography; Exact test; Malocclusion; Interim; Dentistry; Odds ratio; Orthodontics; Surgery; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0823802,0.0007375379,0.001659538,0.00410092,0.001031878,0.002339985,0.001839488,0.0006900303,0.00938123],"category_scores_gemma":[0.1634984,0.0005809158,0.002557934,0.002654637,0.001011888,0.001285967,0.002121673,0.001420737,0.001788427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678843,"about_ca_system_score_gemma":0.003793675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002059494,"about_ca_topic_score_gemma":0.002412829,"domain_scores_codex":[0.927601,0.03998517,0.01204009,0.002831486,0.0158016,0.001740577],"domain_scores_gemma":[0.8477448,0.09914829,0.01324194,0.01496456,0.02353724,0.001363079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02370417,0.002062304,0.6653963,0.002976125,0.00148252,0.0004980283,0.005440914,0.005716264,0.00360599,0.004269242,0.01357314,0.2712751],"study_design_scores_gemma":[0.001932928,0.02606027,0.8174575,0.002802669,0.003172421,0.002088641,0.01155097,0.03493772,0.02967182,0.009094661,0.06085661,0.0003738367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8475195,0.0006107076,0.08085941,0.0008209384,0.0003337769,0.03155843,0.02049493,0.0006410399,0.01716119],"genre_scores_gemma":[0.768479,0.0001555024,0.1798421,0.0002862705,0.00008666318,0.03214604,0.01507537,0.0002065909,0.003722479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0823802,"threshold_uncertainty_score":0.4356734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03782913456693074,"score_gpt":0.3150896928139258,"score_spread":0.277260558246995,"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."}}