{"id":"W4390690778","doi":"10.3138/jmvfh-2022-0071","title":"Studying military and Veteran health using a life-course approach: Lessons learned from a Canadian record linkage study","year":2024,"lang":"en","type":"article","venue":"Journal of Military Veteran and Family Health","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Veterans Affairs Canada; Public Health Agency of Canada","funders":"","keywords":"Stakeholder; Life course approach; Linkage (software); Public relations; Resource (disambiguation); Political science; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01416594,0.000335233,0.001089745,0.0009225581,0.0007079287,0.0002048024,0.0006019842,0.00008633066,0.00002492804],"category_scores_gemma":[0.0003784278,0.0002631865,0.0001762458,0.000607668,0.0001263315,0.0008620309,0.0002065982,0.0008063514,0.000008945289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460797,"about_ca_system_score_gemma":0.001931079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3053525,"about_ca_topic_score_gemma":0.08837628,"domain_scores_codex":[0.9930804,0.002097101,0.00208797,0.0008734315,0.001176869,0.0006841739],"domain_scores_gemma":[0.9964637,0.0008362696,0.0003137427,0.0006276043,0.0001342655,0.001624403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005080525,0.001050266,0.01599533,0.0005754799,0.0006847917,0.0006944985,0.1009346,0.0002054363,0.00003134189,0.0001022326,0.02973157,0.8494864],"study_design_scores_gemma":[0.005046452,0.008706916,0.5327194,0.001429606,0.0003828034,0.0002347285,0.3376035,0.03494817,1.884098e-7,0.007032962,0.07086159,0.001033662],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.854796,0.1268612,0.002097958,0.01404729,0.001054786,0.0006700545,0.0003833344,0.0000248746,0.00006449869],"genre_scores_gemma":[0.9685878,0.01371746,0.008231955,0.008927488,0.0004296074,0.000004782594,0.00001825191,0.00003197539,0.00005074057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8484527,"threshold_uncertainty_score":0.9999821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4195636312155331,"score_gpt":0.4607801025808845,"score_spread":0.04121647136535139,"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."}}