{"id":"W1931572718","doi":"10.1111/cid.12377","title":"Clinical Fitting and Adjustment Time for Implant‐Supported Crowns Comparing Digital and Conventional Workflows","year":2015,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Abutment; Crown (dentistry); Implant; Dental Abutments; Dentistry; Computer science; Orthodontics; Medicine; Engineering; Database; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001305377,0.0002894163,0.0001967632,0.0004071077,0.0002448364,0.0005443126,0.0002865843,0.0002844726,0.002112265],"category_scores_gemma":[0.004683636,0.00020528,0.0004145411,0.0002714063,0.000261939,0.0004287922,0.0004097983,0.000271273,0.0003698845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002159469,"about_ca_system_score_gemma":0.0002417193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006248948,"about_ca_topic_score_gemma":0.0007526858,"domain_scores_codex":[0.9991727,0.0001614661,0.00009813609,0.0002367448,0.0002251687,0.0001057722],"domain_scores_gemma":[0.9974362,0.0007217152,0.001029566,0.0003293933,0.0002458629,0.0002371805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002298808,0.0004518232,0.9791019,0.00003384214,0.00004944128,0.000178304,0.0005195281,0.000140737,0.003197921,0.00002164765,0.00006434433,0.01394169],"study_design_scores_gemma":[0.00003858195,0.004669391,0.9911959,0.000008950177,0.00005985087,0.0009387013,0.0006804262,0.0003538212,0.001571919,0.00002361618,0.0004406365,0.0000181559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998084,0.00002541765,0.00006992631,0.000001616375,0.000001466386,0.000005496617,0.00002945691,0.000001645837,0.00005657041],"genre_scores_gemma":[0.9995234,0.00001708247,0.0001640747,0.000003798546,0.000002095501,0.00001235672,0.00009195946,0.000002471412,0.0001826237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002112265,"threshold_uncertainty_score":0.00706625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2292697476826385,"score_gpt":0.4897933838609058,"score_spread":0.2605236361782673,"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."}}