{"id":"W3004473678","doi":"10.1111/cid.12885","title":"Clinical and laboratory passive fit assessment of implant‐supported zirconia restorations fabricated using conventional and digital workflow","year":2020,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Cubic zirconia; Dentistry; Implant; Materials science; Dental porcelain; Computer science; Orthodontics; Medicine; Composite material; Database; Ceramic; 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":[0.002569729,0.0006560673,0.0004279049,0.0008900902,0.0003754039,0.0004964458,0.0003522668,0.0004396625,0.001586098],"category_scores_gemma":[0.00512196,0.0005117123,0.0005229783,0.0003456413,0.0008085553,0.0003911282,0.0005497676,0.000325478,0.0003714648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002998733,"about_ca_system_score_gemma":0.0003469419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006964938,"about_ca_topic_score_gemma":0.0009562683,"domain_scores_codex":[0.9982381,0.0003616111,0.0002719743,0.0003648921,0.0006486821,0.000114747],"domain_scores_gemma":[0.9963474,0.0009196624,0.00116537,0.0004915554,0.0008453522,0.0002307184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01420474,0.001811857,0.7206096,0.0003770499,0.0001970936,0.001104121,0.002766477,0.0008172941,0.2126595,0.00008251654,0.0002192419,0.04515052],"study_design_scores_gemma":[0.0001419595,0.01100952,0.9394662,0.00001722006,0.0001657273,0.002891275,0.001019148,0.001074564,0.04343119,0.00005154343,0.000663828,0.00006794526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991118,0.0000810612,0.0005546898,0.000002581883,0.000004368604,0.00002647205,0.00003798393,0.00000817345,0.0001728331],"genre_scores_gemma":[0.9980168,0.00006380439,0.001528344,0.00000676884,0.00000598766,0.00003793959,0.00009538011,0.000004602682,0.0002402954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002569729,"threshold_uncertainty_score":0.01359022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2075928491832822,"score_gpt":0.5042366294254707,"score_spread":0.2966437802421885,"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."}}