{"id":"W2046831808","doi":"10.1016/j.ortho.2010.07.014","title":"Determination of tooth-size discrepancy and Bolton ratios using bibliocast Cécile3 digital models","year":2010,"lang":"en","type":"article","venue":"International Orthodontics","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Calipers; Orthodontics; Mathematics; Dentistry; Permanent dentition; Adobe photoshop; Medicine; Dentition; Computer science; Software; Geometry","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":[0.001891454,0.0008375236,0.0007205911,0.009018132,0.0006081246,0.001274534,0.001037089,0.0009036832,0.01683198],"category_scores_gemma":[0.006272586,0.0008410672,0.0009420417,0.004956381,0.0004342094,0.0008882767,0.001163769,0.0007262183,0.003361335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006839324,"about_ca_system_score_gemma":0.001189502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006783954,"about_ca_topic_score_gemma":0.01598571,"domain_scores_codex":[0.9977531,0.0002985742,0.000270793,0.0003180892,0.001240549,0.0001188407],"domain_scores_gemma":[0.9956222,0.001546051,0.0004937477,0.0005388926,0.001646365,0.000152747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003953214,0.0004231656,0.2515273,0.001270585,0.0003413481,0.00137244,0.00170367,0.01274719,0.1352853,0.005235207,0.0126227,0.5735179],"study_design_scores_gemma":[0.0002993603,0.0008385874,0.6260327,0.0002599774,0.0007010854,0.00693924,0.001404897,0.1718378,0.1403184,0.001851107,0.04900208,0.0005147906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7407168,0.001148129,0.1857471,0.0002632932,0.0001809446,0.001246736,0.01804452,0.008889571,0.04376286],"genre_scores_gemma":[0.7986953,0.0006835098,0.180483,0.00007481147,0.00004584159,0.0007122393,0.005494921,0.001305762,0.01250465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01683198,"threshold_uncertainty_score":0.05630863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03321073553330688,"score_gpt":0.3138879961193689,"score_spread":0.280677260586062,"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."}}