{"id":"W4403342850","doi":"10.3389/fpubh.2024.1457591","title":"Perspective: leveraging review protocols to advance implementation science in support of older adults’ health equity","year":2024,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Thompson Rivers University","funders":"Canada Research Chairs","keywords":"Equity (law); Health equity; Computer science; Publishing; Perspective (graphical); Data science; Risk analysis (engineering); Engineering ethics; Management science; Medicine; Public health; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.8493509,0.003293923,0.005585906,0.01173958,0.005490769,0.03240986,0.01359456,0.0531054,0.01062665],"category_scores_gemma":[0.9257135,0.005280039,0.009927716,0.01057152,0.02426963,0.05133582,0.01907842,0.05392035,0.007750999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02910231,"about_ca_system_score_gemma":0.2358047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00447777,"about_ca_topic_score_gemma":0.00664116,"domain_scores_codex":[0.1063741,0.7348837,0.09349699,0.01125083,0.04929467,0.004699701],"domain_scores_gemma":[0.02758823,0.74166,0.05861285,0.05703367,0.1079346,0.007170633],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009334304,0.0002727919,0.002367895,0.0907354,0.002166054,0.0005414046,0.01648858,0.001998075,0.001700647,0.3305212,0.3934424,0.1588321],"study_design_scores_gemma":[0.001726329,0.0006187861,0.001986643,0.1262397,0.001603705,0.0006098405,0.003598567,0.002982344,0.002148584,0.2220927,0.635825,0.0005677583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006047728,0.0163629,0.05102549,0.8868637,0.03209316,0.006053678,0.0004515179,0.0003772804,0.006167444],"genre_scores_gemma":[0.02553046,0.01885125,0.2910577,0.6054662,0.01905699,0.036077,0.0004486119,0.0004005898,0.003111152],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1506491,"threshold_uncertainty_score":0.211153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4240052133124165,"score_gpt":0.7005959673529514,"score_spread":0.2765907540405348,"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."}}