{"id":"W7084123673","doi":"10.6084/m9.figshare.30155593.v2","title":"Land O’ Lakes: Smiles Transformed with Advanced Implant and Cosmetic Expertise","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Implant; Health care; Dental implant; Dental care; MEDLINE; Oral health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001454892,0.0002707769,0.0002690977,0.00001415287,0.000137088,0.00002239998,0.0002064395,0.0001405915,0.07735437],"category_scores_gemma":[0.00004074632,0.0001571763,0.00003907951,0.00007048107,0.00006858687,0.00005167273,0.00027034,0.0001634359,0.0003144915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006478444,"about_ca_system_score_gemma":0.000004458912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006336391,"about_ca_topic_score_gemma":0.0008837915,"domain_scores_codex":[0.9990119,0.00002063739,0.0001356852,0.0004074332,0.0001685384,0.0002558204],"domain_scores_gemma":[0.9996145,0.00007403077,0.00005488882,0.0001707968,0.000001705568,0.00008402802],"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":[0.00003186948,0.00003696351,0.0001445152,0.0001127868,0.00001699343,0.00003905538,0.00001262398,0.000003721235,0.00002702136,1.753364e-8,0.9943995,0.005174936],"study_design_scores_gemma":[0.0002942712,0.0002387614,0.005085679,0.0007271799,0.00002156449,0.00001623282,0.00002141389,0.000001577385,0.00008084446,0.00000389192,0.9932387,0.0002698614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007683701,0.0007304904,8.571734e-8,0.00005589931,0.00001756414,0.0003235516,0.9976286,0.00002062812,0.0004547733],"genre_scores_gemma":[0.0005543803,0.0007585802,0.00002183714,0.0004109034,0.00001778292,0.0003044718,0.9977142,0.000004180639,0.0002136358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07703988,"threshold_uncertainty_score":0.923489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193146326374102,"score_gpt":0.2150277240654672,"score_spread":0.2030962608017262,"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."}}