{"id":"W2906003968","doi":"10.1002/cre2.155","title":"20 years of Evidence‐Based Dentistry — How have our patients benefited?","year":2018,"lang":"en","type":"editorial","venue":"Clinical and Experimental Dental Research","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dentistry; Medicine; Orthodontics","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":["metaresearch","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.009029502,0.0002844805,0.0007211998,0.0004190293,0.0009991401,0.0001107133,0.0009944065,0.001518028,0.000383003],"category_scores_gemma":[0.0173224,0.000231061,0.0002077333,0.0004992206,0.001396612,0.0003871216,0.001114666,0.00369091,0.0006790945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000431303,"about_ca_system_score_gemma":0.003237308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282942,"about_ca_topic_score_gemma":0.0002008227,"domain_scores_codex":[0.989102,0.002898716,0.00131708,0.001084658,0.004088952,0.001508584],"domain_scores_gemma":[0.9877464,0.008265826,0.0004059474,0.0006518987,0.001612602,0.00131734],"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":[0.0006012695,0.0006197076,0.07358264,0.0004401093,0.00002273925,0.00001174881,0.0003124782,4.669561e-8,0.00009359467,0.000003193028,0.9218912,0.002421309],"study_design_scores_gemma":[0.0037203,0.005119961,0.04667543,0.003934787,0.00002222987,5.834535e-7,0.01569855,0.0001608494,0.0010009,0.00007789436,0.9230567,0.0005318719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5837848,0.001045,0.000001035231,0.0005006549,0.4127279,0.001230582,0.0003664025,0.00002072957,0.0003228424],"genre_scores_gemma":[0.5010927,0.001305704,0.0002017389,0.0001949024,0.482548,0.0004585324,0.0007768541,0.00007276535,0.01334876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0826921,"threshold_uncertainty_score":0.9997782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6368543210087505,"score_gpt":0.6783863683078745,"score_spread":0.04153204729912396,"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."}}