{"id":"W7117438178","doi":"","title":"Early deep bite correction with aligners in Class II cases.","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Ministry of Labour","funders":"","keywords":"Class (philosophy); Feature (linguistics); Focus (optics); Margin (machine learning)","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":[0.000161268,0.001109107,0.0004087642,0.001096666,0.001203254,0.001139992,0.0005274487,0.001501912,0.006799177],"category_scores_gemma":[0.001575478,0.0004408314,0.000441651,0.0006930385,0.0006342977,0.0004286393,0.0007062797,0.001134346,0.00139927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003530547,"about_ca_system_score_gemma":0.0003813375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008961022,"about_ca_topic_score_gemma":0.001948364,"domain_scores_codex":[0.9994504,0.00004555839,0.00005860903,0.00006621226,0.0001420188,0.0002372014],"domain_scores_gemma":[0.9995403,0.00009295474,0.0001895058,0.00003583065,0.00001703822,0.0001244736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005712049,0.0003612611,0.1430778,0.000131014,0.0000530259,0.7656382,0.0004282103,0.0002994907,0.01339495,0.0007392265,0.003263176,0.07204249],"study_design_scores_gemma":[0.00003859036,0.000352283,0.09198426,0.00005226681,0.0000241449,0.900616,0.0005470269,0.0002369306,0.002019003,0.0003010131,0.003804025,0.00002439382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695531,0.003399117,0.00169436,0.0006188269,0.0003596466,0.00006551844,0.000273594,0.0001532803,0.02388259],"genre_scores_gemma":[0.9936313,0.0008457688,0.0006073731,0.0001472157,0.0001408196,0.0000143467,0.0001268714,0.00003335556,0.004452944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006799177,"threshold_uncertainty_score":0.02274555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373341055417506,"score_gpt":0.2388320897723346,"score_spread":0.2250986792181595,"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."}}