{"id":"W3085030049","doi":"10.1016/j.prosdent.2020.07.007","title":"Marginal and internal adaptation of single crowns and fixed dental prostheses by using digital and conventional workflows: A systematic review and meta-analysis","year":2020,"lang":"en","type":"review","venue":"Journal of Prosthetic Dentistry","topic":"Dental materials and restorations","field":"Dentistry","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Impression; Meta-analysis; Dentistry; Cochrane Library; Systematic review; Protocol (science); Medical physics; Medicine; Randomized controlled trial; Computer science; MEDLINE; Orthodontics; Surgery; World Wide Web; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004710897,0.0004037537,0.003964653,0.0002200554,0.00009683157,0.000683604,0.000168774,0.0001636474,0.00008879495],"category_scores_gemma":[0.0001801495,0.0002837076,0.0008048971,0.0002511065,0.0002716932,0.0004218527,0.0001824192,0.000247844,0.000002498807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000549786,"about_ca_system_score_gemma":0.00007944678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001010306,"about_ca_topic_score_gemma":0.000006999685,"domain_scores_codex":[0.9968663,0.0002898891,0.001854404,0.0003305508,0.0005008388,0.00015799],"domain_scores_gemma":[0.9966952,0.0001094543,0.002675046,0.0001574335,0.0001714622,0.0001914712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00005912497,0.0003882827,0.0002501136,0.9206479,0.07114848,0.0008519773,0.0001268846,9.741557e-7,0.0002420055,0.00006903933,0.0002531902,0.005962074],"study_design_scores_gemma":[0.0007385518,0.0004333562,0.0000640915,0.08606633,0.8504129,0.05349817,0.0003580889,0.00006330138,0.0000208852,0.0000666854,0.007590889,0.0006867619],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007154671,0.9905893,0.00040964,0.0000254001,0.0001493122,0.0008733507,0.0007846982,0.000005818833,0.000007828075],"genre_scores_gemma":[0.02336987,0.9751166,0.0005929678,0.00002446618,0.00005354919,0.00003724154,0.00007936866,0.00005016643,0.0006757953],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8345816,"threshold_uncertainty_score":0.9999615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08359573600564288,"score_gpt":0.3330124575863063,"score_spread":0.2494167215806634,"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."}}