{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003242967,0.0002227566,0.0002883676,0.0004044238,0.0000894355,0.0003831963,0.0002638529,0.0001811868,0.0001213135],"category_scores_gemma":[0.0007377864,0.0002244067,0.0001553658,0.0003449522,0.000147625,0.001153111,0.0002090971,0.0002761479,0.00001132372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002694538,"about_ca_system_score_gemma":0.00007758503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000815879,"about_ca_topic_score_gemma":0.0003572944,"domain_scores_codex":[0.9980415,0.0000319281,0.0006562169,0.0003427033,0.0007039834,0.00022374],"domain_scores_gemma":[0.9983919,0.0002569016,0.0003927475,0.0003066517,0.000519658,0.0001320872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008393758,0.0002000174,0.9373156,0.00004483393,0.00008372828,0.0001020254,0.0002164393,0.00009390999,0.01047869,0.03532711,0.00008731568,0.01596641],"study_design_scores_gemma":[0.003991803,0.00027016,0.4982217,0.0002448812,0.0004192483,0.001157155,0.0002857588,0.4471549,0.00848846,0.01364803,0.02435772,0.001760141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757884,0.00003715547,0.1156205,0.00008573944,0.002196789,0.0001745108,0.0002537151,0.00004589206,0.0057973],"genre_scores_gemma":[0.957952,0.00004903285,0.04011142,0.00004966396,0.0003713343,0.000004920049,0.0000495417,0.0000387633,0.001373379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.447061,"threshold_uncertainty_score":0.9151041,"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."}}