{"id":"W4254593553","doi":"10.1111/cid.12945","title":"Corrigendum","year":2020,"lang":"en","type":"erratum","venue":"Clinical Implant Dentistry and Related Research","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dentistry; Maxilla; Implant; Osseointegration; Dental implant; Phrase; Computer science; Orthodontics; Materials science; Medicine; Natural language processing; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.002839476,0.001073917,0.001378113,0.003523417,0.002889801,0.004963722,0.002139967,0.003681605,0.2507412],"category_scores_gemma":[0.02743129,0.0004996196,0.0009928779,0.001775152,0.0008151594,0.001604027,0.002224158,0.00371151,0.1999215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003518189,"about_ca_system_score_gemma":0.004715027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01696904,"about_ca_topic_score_gemma":0.03004266,"domain_scores_codex":[0.9954057,0.0005017039,0.0003415556,0.0006079238,0.002797151,0.0003459481],"domain_scores_gemma":[0.9868151,0.001754579,0.0003234092,0.001025254,0.00935855,0.0007231251],"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":[0.000009771918,0.000003914985,0.00002450296,0.00004397428,0.000001737188,0.00005085558,0.000008124384,0.00001510813,0.00002529789,0.0008044707,0.984622,0.01439023],"study_design_scores_gemma":[0.000004149778,0.000006358774,0.0001716261,0.00006907444,0.000006372184,0.00008224318,0.00002312797,0.00004062773,0.00008413895,0.0007841853,0.9987214,0.000006599983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000331479,0.004363316,0.001069859,0.051294,0.7378262,0.0001321125,0.003409078,0.0009635155,0.2006104],"genre_scores_gemma":[0.002182856,0.00257505,0.001550373,0.02322664,0.02665566,0.0001017006,0.001966223,0.00050913,0.9412324],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2507412,"threshold_uncertainty_score":0.8388129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341475946462465,"score_gpt":0.3990221435375245,"score_spread":0.264874548891278,"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."}}