{"id":"W3023467677","doi":"10.1922/ejprd_01747ellakwa10","title":"A Novel Methodology to Validate the Accuracy of Extraoral Dental Scanners and Digital Articulation Systems.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Dental materials and restorations","field":"Dentistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Articulation (sociology); Computer science; Repeatability; Artificial intelligence; Computer vision; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006774299,0.0009106424,0.0006109364,0.002706844,0.0004929195,0.001256179,0.001266238,0.001478476,0.002595522],"category_scores_gemma":[0.01315559,0.0007766034,0.0006714551,0.00147298,0.001010371,0.001258591,0.001890046,0.0007398518,0.001316276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006769986,"about_ca_system_score_gemma":0.001122029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009682785,"about_ca_topic_score_gemma":0.002108246,"domain_scores_codex":[0.9908041,0.001675971,0.000748607,0.001479805,0.005132883,0.000158739],"domain_scores_gemma":[0.9888204,0.002961666,0.002258416,0.001965351,0.003823984,0.0001702361],"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":[0.0005546611,0.0001891295,0.05892805,0.00194573,0.0002996767,0.0003411209,0.0009505246,0.00225535,0.5070664,0.004686724,0.00171072,0.4210719],"study_design_scores_gemma":[0.0001645745,0.003265216,0.1659463,0.0005735058,0.0008364147,0.01145814,0.001087092,0.04320147,0.6709437,0.003781606,0.09837122,0.0003708051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1232519,0.005731388,0.8619068,0.0001893922,0.0005784206,0.0007491646,0.0006126291,0.001290539,0.005689862],"genre_scores_gemma":[0.25872,0.0009592978,0.7365107,0.000165188,0.0000861408,0.0005924368,0.0002970819,0.000156071,0.002512966],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006774299,"threshold_uncertainty_score":0.03582639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09700639628883893,"score_gpt":0.3150020859998418,"score_spread":0.2179956897110029,"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."}}