{"id":"W2912441099","doi":"10.1016/j.prosdent.2018.06.015","title":"Determining the retention of removable partial dentures","year":2019,"lang":"en","type":"article","venue":"Journal of Prosthetic Dentistry","topic":"Dental materials and restorations","field":"Dentistry","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; King Saud University","keywords":"Dentures; Mastication; Abutment; Removable partial denture; Orthodontics; Dentistry; Statistical analysis; Occlusion; Bite force quotient; Universal testing machine; Materials science; Computer science; Mathematics; Medicine; Composite material; Engineering; Structural engineering; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008233473,0.0003365894,0.0004862243,0.0006022223,0.0004468941,0.0007431874,0.0004863764,0.0006238635,0.001138299],"category_scores_gemma":[0.002322991,0.0002878488,0.0005076322,0.0003126558,0.0003783107,0.0004245265,0.0002829921,0.0004177169,0.0003389302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002512931,"about_ca_system_score_gemma":0.0003601352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001429899,"about_ca_topic_score_gemma":0.003541442,"domain_scores_codex":[0.9994414,0.00009882402,0.00006201199,0.00007834761,0.0002243799,0.00009504539],"domain_scores_gemma":[0.9990247,0.0004749063,0.0001769671,0.0000592864,0.0002016792,0.00006241686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003832699,0.0003085709,0.501495,0.0001861405,0.0001926813,0.0004831201,0.0004841045,0.0005860075,0.3902225,0.0001206723,0.0002989756,0.1017896],"study_design_scores_gemma":[0.00003831042,0.004513245,0.718346,0.00004524618,0.0005695146,0.002930641,0.001133366,0.005241988,0.2648984,0.0001089561,0.002115063,0.00005935338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988096,0.0004619088,0.0003152023,0.0000143139,0.000006598237,0.000005620599,0.00004840158,0.000007209652,0.0003312212],"genre_scores_gemma":[0.9979839,0.0001827101,0.001148398,0.00001632321,0.000006795226,0.000004700178,0.0001214129,0.000007424109,0.0005283036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001429899,"threshold_uncertainty_score":0.004354358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176606367197333,"score_gpt":0.2729692102666998,"score_spread":0.2553085735469665,"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."}}