{"id":"W2110629782","doi":"10.1017/s0714980809990079","title":"Accessing Health Care Utilization Databases for Health Research: A Canadian Longitudinal Study on Aging Feasibility Study","year":2009,"lang":"fr","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Dalhousie University; McMaster University","funders":"","keywords":"Documentation; Legislature; Permission; Work (physics); Compliance (psychology); Qualitative research; Health care; Process (computing); Longitudinal study; Psychology; Database; Computer science; Medicine; Political science; Sociology; Engineering","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":[],"category_scores_codex":[0.03274269,0.0003373811,0.000777858,0.005272003,0.005303238,0.002697084,0.002309386,0.0008910262,0.002940377],"category_scores_gemma":[0.06541754,0.0008722678,0.0009075886,0.01786141,0.00129321,0.001784716,0.002569595,0.00159635,0.0003981808],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04235955,"about_ca_system_score_gemma":0.1673978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.984287,"about_ca_topic_score_gemma":0.9901337,"domain_scores_codex":[0.9804778,0.004871402,0.002135115,0.001133854,0.009007091,0.002374857],"domain_scores_gemma":[0.9520846,0.009619926,0.005374821,0.003404092,0.02464171,0.004874821],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002804841,0.0004048415,0.9310096,0.0006918097,0.0001987277,0.0001066663,0.006009154,0.0003053652,0.0002503094,0.002552724,0.02089832,0.03729196],"study_design_scores_gemma":[0.00009433715,0.00006775063,0.9769341,0.000493035,0.00008442943,0.00004329474,0.004333469,0.0005628593,0.00009505193,0.0002883553,0.01694773,0.00005554099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8355937,0.007633054,0.006283769,0.01789172,0.0002391333,0.01170393,0.08934009,0.0001244854,0.03119011],"genre_scores_gemma":[0.9286892,0.005651191,0.02245146,0.00371943,0.00007512953,0.01009586,0.02585814,0.00005689129,0.003402715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.984287,"threshold_uncertainty_score":0.3073415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3261245858769128,"score_gpt":0.4684879598790652,"score_spread":0.1423633740021524,"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."}}