{"id":"W2804918971","doi":"10.1515/bmt-2017-0234","title":"Digital microscopic evaluation of vertical marginal discrepancies of CAD/CAM fabricated zirconia cores","year":2018,"lang":"en","type":"article","venue":"Biomedizinische Technik/Biomedical Engineering","topic":"Dental materials and restorations","field":"Dentistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CEREC; Magnification; Cubic zirconia; Post hoc; Mathematics; Significant difference; Mean difference; Materials science; Tukey's range test; Dentistry; Nuclear medicine; Orthodontics; Medicine; Statistics; Composite material; Ceramic; Physics; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005466922,0.0002358762,0.0004258713,0.0003422251,0.00006060002,0.0000554518,0.0003603969,0.0002695001,0.0003106999],"category_scores_gemma":[0.0006247743,0.0002003175,0.0001163064,0.0007264989,0.0009187599,0.0002060102,0.0001982979,0.0001486527,0.00009438195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007326427,"about_ca_system_score_gemma":0.0001398207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004265339,"about_ca_topic_score_gemma":0.000004251825,"domain_scores_codex":[0.9974226,0.00003431055,0.0007728267,0.0003151462,0.001095811,0.0003593378],"domain_scores_gemma":[0.9988812,0.00008615788,0.0001453635,0.0003817298,0.0003110871,0.000194443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000368303,0.0002297365,0.0005822032,0.0001537298,0.00007921339,0.000007507201,0.00005891956,0.000004101426,0.9947404,0.0008755936,0.0009022814,0.002329482],"study_design_scores_gemma":[0.002434485,0.000841482,0.05044398,0.0005832122,0.0002783305,0.0001635484,0.0002011292,0.01234152,0.893272,0.0001393796,0.03867283,0.0006280496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857886,0.0002552675,0.01074897,0.00009988691,0.001577306,0.0003495648,0.0002708751,0.0002344352,0.0006750613],"genre_scores_gemma":[0.9972041,0.000007360017,0.002151149,0.000007316677,0.0003197019,0.00003951586,0.0001624823,0.000036059,0.00007231646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1014683,"threshold_uncertainty_score":0.8168711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919801944531486,"score_gpt":0.2892098020199486,"score_spread":0.2700117825746338,"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."}}