{"id":"W2049779072","doi":"10.1017/s0714980811000729","title":"Harmonizing Data for Collaborative Research on Aging: Why Should We Foster Such an Agenda?","year":2012,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McGill University; McGill University Health Centre","funders":"","keywords":"Computer science; Content (measure theory); Data access; World Wide Web; Internet privacy; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.8636467,0.004467897,0.01869012,0.03206243,0.02583206,0.05846907,0.02747115,0.05073496,0.01220954],"category_scores_gemma":[0.8887791,0.00868937,0.01287875,0.03030094,0.05216318,0.08798462,0.1184685,0.06726768,0.00388363],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03761582,"about_ca_system_score_gemma":0.3243489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0395413,"about_ca_topic_score_gemma":0.03906535,"domain_scores_codex":[0.1349112,0.6391422,0.1164062,0.01978269,0.07697845,0.01277929],"domain_scores_gemma":[0.03002564,0.5748972,0.03523068,0.158943,0.168884,0.03201955],"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":[0.001604765,0.001100384,0.0328019,0.0270531,0.006522034,0.0007073655,0.03435804,0.003168889,0.001685093,0.269369,0.366977,0.2546524],"study_design_scores_gemma":[0.001645177,0.0006246155,0.01936222,0.06207376,0.002271476,0.0004881822,0.02629948,0.002145503,0.0008872934,0.3679805,0.5152925,0.0009292262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002599847,0.01784089,0.03611235,0.9156274,0.01724106,0.002854139,0.001864755,0.0003871369,0.005472447],"genre_scores_gemma":[0.07535601,0.01224893,0.3627806,0.5000077,0.01492129,0.02585569,0.00626198,0.0007637287,0.001804009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9623842,"threshold_uncertainty_score":0.2729232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.307491279877243,"score_gpt":0.4141390585503863,"score_spread":0.1066477786731433,"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."}}