{"id":"W2970943910","doi":"10.1111/cid.12839","title":"Marginal and internal fit of CAD/CAM frameworks in multiple implant‐supported restorations: Scanning and milling error analysis","year":2019,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CAD; Coordinate-measuring machine; Conical surface; Orthodontics; Materials science; Computer science; Mathematics; Geometry; Engineering drawing; Optics; Medicine; Engineering; Physics","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":[0.002010296,0.0005149223,0.0002853675,0.001656775,0.0002249513,0.0005934176,0.0004983572,0.0003579482,0.0006673822],"category_scores_gemma":[0.006191303,0.0004416756,0.0003797917,0.0007026972,0.0005192086,0.0003702697,0.0004113672,0.0002515492,0.000125365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005875626,"about_ca_system_score_gemma":0.0003342882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001635196,"about_ca_topic_score_gemma":0.002942576,"domain_scores_codex":[0.9984422,0.0001388565,0.0001683325,0.0001898606,0.0009995486,0.00006118821],"domain_scores_gemma":[0.9938323,0.002565878,0.001608144,0.0006135972,0.00128536,0.00009465413],"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":[0.001987655,0.0001747963,0.7498193,0.0002646216,0.0001774144,0.000349663,0.0008840532,0.01069565,0.1219584,0.0002374173,0.0002068975,0.113244],"study_design_scores_gemma":[0.00002283075,0.0005958563,0.8682994,0.00002972873,0.0001526297,0.00238278,0.0002732643,0.03514453,0.09209467,0.0001466794,0.0007731402,0.00008453015],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930962,0.0001508875,0.006487095,0.000005221291,0.000003111113,0.00001027859,0.0000658922,0.00004691635,0.0001344207],"genre_scores_gemma":[0.9918791,0.0000308689,0.007884826,0.000003911436,0.000002340785,0.000007662274,0.00009733512,0.00001959828,0.00007440883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002010296,"threshold_uncertainty_score":0.01063162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321740325802869,"score_gpt":0.468329629804745,"score_spread":0.3361555972244581,"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."}}