{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005331287,0.000410568,0.0003078775,0.0005318464,0.0001325743,0.0003433607,0.0002767198,0.0002792586,0.0005565041],"category_scores_gemma":[0.001414712,0.0001686576,0.0004534357,0.0002167994,0.00008129978,0.0001952937,0.000254152,0.0003796905,0.0001989931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134874,"about_ca_system_score_gemma":0.0002775254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005922832,"about_ca_topic_score_gemma":0.007248404,"domain_scores_codex":[0.9998552,0.00004284374,0.00001182439,0.00004124595,0.00003004034,0.00001889053],"domain_scores_gemma":[0.9995382,0.0002606599,0.00009212972,0.00002547455,0.00005797143,0.00002558603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003667841,0.0002572272,0.6591273,0.00005041851,0.0001503592,0.000194528,0.0001175933,0.1722137,0.006934093,0.000169455,0.0006091031,0.1598095],"study_design_scores_gemma":[0.00001559891,0.0001790433,0.168675,0.00001781329,0.00003747847,0.0001404934,0.00009407084,0.8287414,0.001471492,0.0001552196,0.0004598789,0.00001236825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778454,0.0003935004,0.02089104,0.00008286029,0.00001280665,0.0000224651,0.0002786573,0.000108562,0.0003646441],"genre_scores_gemma":[0.9875221,0.0001533566,0.01114158,0.00001635537,0.00001649704,0.00002338561,0.0007266085,0.000009929561,0.0003900963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005922832,"threshold_uncertainty_score":0.01177669,"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."}}