{"id":"W4382894658","doi":"10.20944/preprints202306.2202.v1","title":"Short and Long-term Prediction of the Post-Pubertal Mandibular Length and Y-Axis in Females Utilizing Machine Learning","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Faculty of Dentistry, University of Toronto; American Association of Orthodontists Foundation","keywords":"Sagittal plane; Orthodontics; Mathematics; Occlusion; Mandible (arthropod mouthpart); Medicine; Biology; Anatomy; Surgery; Genus","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001083073,0.000363692,0.0005520096,0.0002240207,0.0001595249,0.00006538686,0.0003377812,0.0004406918,0.00009513088],"category_scores_gemma":[0.0006361207,0.0003278409,0.0001901872,0.0001727842,0.0001929518,0.0001116385,0.003401334,0.001353873,0.00003404988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005857413,"about_ca_system_score_gemma":0.00005956075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006906766,"about_ca_topic_score_gemma":0.00181577,"domain_scores_codex":[0.9972728,0.0002498606,0.000746541,0.0008991581,0.0005013886,0.0003302246],"domain_scores_gemma":[0.9985717,0.0001242949,0.0002981858,0.0007636659,0.0001254853,0.0001167037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005587577,0.00006414781,0.9964285,0.0005668553,0.0001281056,0.00009539564,0.0006062878,0.0001649953,0.001035505,0.0000843192,0.00000127072,0.0007687561],"study_design_scores_gemma":[0.0003399979,0.00002100726,0.9966291,0.0004347368,0.0001291004,0.00005223475,0.00008860126,0.000992418,0.0009026758,0.00008016765,0.00009421303,0.0002357374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966221,0.000845573,0.00005256238,0.00009845982,0.0009894299,0.000650584,0.0001681255,0.0001151829,0.0004579395],"genre_scores_gemma":[0.9972712,0.001150041,0.00003000748,0.00001908964,0.0001073538,0.00003915277,0.0001521185,0.00006737374,0.001163623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003063553,"threshold_uncertainty_score":0.9999174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1395621759340502,"score_gpt":0.3495618212000058,"score_spread":0.2099996452659556,"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."}}