{"id":"W7131067550","doi":"10.1111/ocr.70079","title":"Preface to the 10th Biennial <scp>COAST</scp> Conference: <scp>AI</scp> ‐ and Biomedicine‐Driven Precision Orthodontics and Craniofacial Care","year":2025,"lang":"en","type":"article","venue":"Orthodontics and Craniofacial Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Craniofacial; Biomedicine; Foundation (evidence); MEDLINE","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":[0.002713309,0.001400448,0.0008204569,0.001534365,0.003037673,0.006410457,0.001835383,0.004567826,0.258255],"category_scores_gemma":[0.005279055,0.0004265101,0.00109276,0.0009730314,0.0009062034,0.002853347,0.004088807,0.006688605,0.1198662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00275177,"about_ca_system_score_gemma":0.004052049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004279803,"about_ca_topic_score_gemma":0.00815611,"domain_scores_codex":[0.9987308,0.0001794555,0.000076423,0.0002064602,0.0005562175,0.0002505847],"domain_scores_gemma":[0.9934132,0.0005981906,0.0001989785,0.0001980569,0.00313299,0.002458602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003143585,0.00002312235,0.00005113161,0.00006077005,0.000001242595,0.00002635127,0.00002967469,0.00002852481,0.0001563889,0.0003821187,0.9915243,0.00768481],"study_design_scores_gemma":[0.00001208958,0.00003763341,0.0006237111,0.0001311809,0.000002219028,0.00004209589,0.0001637992,0.00006409325,0.0001208404,0.0005133425,0.9982783,0.00001075167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001689088,0.009464156,0.002559374,0.113113,0.6706672,0.0009247141,0.002511665,0.0005894686,0.1984813],"genre_scores_gemma":[0.006517486,0.006626295,0.001619882,0.02016765,0.1137571,0.0006563806,0.002683556,0.0006097557,0.8473618],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.258255,"threshold_uncertainty_score":0.8639491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1490589817163611,"score_gpt":0.4661303404531467,"score_spread":0.3170713587367856,"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."}}