{"id":"W4237638526","doi":"10.1111/cid.12838","title":"Back Cover","year":2019,"lang":"en","type":"paratext","venue":"Clinical Implant Dentistry and Related Research","topic":"Medical Research and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Mesenchymal stem cell; Dentistry; Implant; Medicine; Engineering; Surgery; Pathology; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.002932538,0.0003772777,0.001264209,0.0003230942,0.0002444117,0.0001403558,0.0003560689,0.002485372,0.06970416],"category_scores_gemma":[0.002000183,0.0002570558,0.0004151028,0.0004630283,0.001325398,0.00006604999,0.0005780414,0.007066374,0.5289069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008658358,"about_ca_system_score_gemma":0.001306343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003764691,"about_ca_topic_score_gemma":0.000001151469,"domain_scores_codex":[0.9935817,0.001034769,0.001143849,0.001164353,0.001782751,0.001292582],"domain_scores_gemma":[0.9933915,0.003308105,0.0001578916,0.0008820289,0.0004015852,0.001858959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008382059,0.0006097466,0.0005001065,0.001146112,0.001255287,0.02638282,0.000007719882,1.882765e-7,0.00003706317,0.00003472595,0.9636732,0.00551483],"study_design_scores_gemma":[0.006407862,0.00214915,0.001994773,0.002323752,0.0001851429,0.03386145,0.00002413294,0.00008884529,0.00006301571,0.0001244224,0.9524704,0.0003071041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09086035,0.02300882,0.00002707614,0.002911316,0.03772971,0.003360452,0.001102321,0.00004012775,0.8409598],"genre_scores_gemma":[0.03139067,0.04234349,0.00003339583,0.0001881024,0.0007076145,0.00002585827,0.002469522,0.00006412395,0.9227772],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4592027,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.218146750800615,"score_gpt":0.5435526426497379,"score_spread":0.3254058918491228,"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."}}