{"id":"W4409974479","doi":"10.1111/cid.70045","title":"Featured Cover","year":2025,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Dentistry; Medicine; 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":[0.0003599943,0.0009310158,0.0009728687,0.00234068,0.0007240912,0.002566195,0.001338164,0.002895785,0.9327015],"category_scores_gemma":[0.004032045,0.0005085274,0.0009255661,0.00102258,0.0004498108,0.002155073,0.0017974,0.001672137,0.6906875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005780479,"about_ca_system_score_gemma":0.0004872237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001161595,"about_ca_topic_score_gemma":0.001666818,"domain_scores_codex":[0.9996362,0.00003000959,0.00001953644,0.00006802806,0.0001785344,0.00006766713],"domain_scores_gemma":[0.9977108,0.0007250111,0.0001227548,0.0002124347,0.0006929871,0.0005359547],"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":[0.00003153462,0.00002310129,0.00004967909,0.0000883044,0.000001782607,0.0001240278,0.000004292326,0.00003292138,0.0002187523,0.0003063664,0.9669353,0.0321839],"study_design_scores_gemma":[0.00005491897,0.00003986176,0.000660506,0.0001096367,0.00000443214,0.00120388,0.00001886393,0.0003141818,0.0003321068,0.0007593128,0.9964888,0.00001358955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001268204,0.002398068,0.003126222,0.009794665,0.03335726,0.000787949,0.01505016,0.007155842,0.9270617],"genre_scores_gemma":[0.007064516,0.001319817,0.001361908,0.004030257,0.01334469,0.0002381212,0.005550068,0.001698753,0.9653919],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06729853,"threshold_uncertainty_score":0.0959931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120878788162758,"score_gpt":0.5070089980277616,"score_spread":0.3949211192114857,"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."}}