{"id":"W4224303138","doi":"10.1111/cid.13092","title":"Cover Image","year":2022,"lang":"en","type":"paratext","venue":"Clinical Implant Dentistry and Related Research","topic":"Periodontal Regeneration and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Image (mathematics); Enhanced Data Rates for GSM Evolution; Medicine; Dentistry; Computer science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003558156,0.0007521187,0.0008440547,0.001992266,0.0007753223,0.002516951,0.001206911,0.003156532,0.912187],"category_scores_gemma":[0.006964825,0.0004211855,0.0005894335,0.0008345128,0.0007138743,0.001875791,0.001383299,0.00238494,0.6686932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008208742,"about_ca_system_score_gemma":0.0006092719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264801,"about_ca_topic_score_gemma":0.001715358,"domain_scores_codex":[0.9994959,0.00004336486,0.00002927924,0.00007437786,0.0002924289,0.0000646447],"domain_scores_gemma":[0.9965531,0.001102403,0.0002004598,0.0002217083,0.001293429,0.0006289219],"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":[0.00002815236,0.00002401983,0.00004687859,0.00009582558,0.000001210674,0.0001573539,0.0000050255,0.00002212568,0.0001637238,0.0003548182,0.9685582,0.0305427],"study_design_scores_gemma":[0.00002808535,0.00002602965,0.000316808,0.0001091709,0.000001836276,0.0008838989,0.00001648269,0.0001187716,0.0001710085,0.0004111453,0.9979101,0.000006608257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009389217,0.002701591,0.00202211,0.01994463,0.04995276,0.0006658532,0.006395838,0.003864605,0.9135137],"genre_scores_gemma":[0.005078424,0.001465187,0.0009012945,0.006502016,0.0174987,0.0002123466,0.002320141,0.0008041988,0.9652178],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08781296,"threshold_uncertainty_score":0.1252545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1609377017789352,"score_gpt":0.5124818842739388,"score_spread":0.3515441824950036,"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."}}