{"id":"W4386030295","doi":"10.3390/diagnostics13162713","title":"Prediction of Pubertal Mandibular Growth in Males with Class II Malocclusion by Utilizing Machine Learning","year":2023,"lang":"en","type":"article","venue":"Diagnostics","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Faculty of Dentistry, University of Toronto; American Association of Orthodontists Foundation","keywords":"Malocclusion; Orthodontics; Mathematics; Radiography; Mandible (arthropod mouthpart); Medicine; Dentistry; Biology; Surgery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001933889,0.0001402672,0.0001818914,0.0002850379,0.0001528034,0.00003000277,0.0001238784,0.00007330519,0.00004259244],"category_scores_gemma":[0.000301805,0.0001338361,0.0000567832,0.0007810851,0.00007624003,0.0001909219,0.0001299588,0.0002700042,0.00002991366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002803527,"about_ca_system_score_gemma":0.000009864528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000258272,"about_ca_topic_score_gemma":0.00008859372,"domain_scores_codex":[0.9988753,0.00005479682,0.0002621184,0.0002306125,0.0003086832,0.0002684758],"domain_scores_gemma":[0.9994301,0.0002539977,0.00009771199,0.0001207345,0.00004082005,0.0000566458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003920683,0.0001000243,0.9939192,0.00007670973,0.00002678275,0.0002805918,0.0002461895,0.0002053374,0.002280521,0.0003194573,0.002023135,0.000482871],"study_design_scores_gemma":[0.001164818,0.0002476492,0.9693053,0.0003603489,0.0000559605,0.00008056392,0.0006380752,0.01720117,0.008168168,0.0001641951,0.002412528,0.0002011781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968401,0.0006794998,0.0002207985,0.00006308415,0.0002607003,0.000139531,0.0001614547,0.0001293894,0.001505486],"genre_scores_gemma":[0.9981803,0.0008114902,0.000101818,0.00002555298,0.00003652404,0.00001207229,0.0004875929,0.00002982019,0.000314876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02461383,"threshold_uncertainty_score":0.5457678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203962923675502,"score_gpt":0.2293859406918099,"score_spread":0.2173463114550548,"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."}}