{"id":"W2888722278","doi":"","title":"A Preliminary Examination of Elder Care Among Canadian Armed Forces Personnel","year":2018,"lang":"en","type":"article","venue":"XIX ISA World Congress of Sociology (July 15-21, 2018)","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Military personnel; Medicine; Political science; Law","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005368089,0.000307324,0.0006682132,0.0004462995,0.001028598,0.000003722069,0.0004207789,0.0004523869,0.00134675],"category_scores_gemma":[0.0002335786,0.000277751,0.0001509286,0.0002143269,0.002199598,0.0001801617,0.0001981752,0.0004976591,0.0001273695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896286,"about_ca_system_score_gemma":0.0003380397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03441395,"about_ca_topic_score_gemma":0.2410953,"domain_scores_codex":[0.9972033,0.0005833448,0.0007403422,0.0004329939,0.0002136646,0.0008263826],"domain_scores_gemma":[0.9973005,0.0005309479,0.0006382085,0.0004351491,0.0008950093,0.0002001727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001591448,0.00006562083,0.7069988,0.0005302441,0.0003537053,0.000008781566,0.2004757,6.43071e-7,0.0001124024,0.002547692,0.08683737,0.00190993],"study_design_scores_gemma":[0.001256027,0.0006462842,0.9218871,0.0004378566,0.0001625029,6.648083e-7,0.06350141,0.00001818529,0.0003893948,0.0005408381,0.01081622,0.0003434911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358554,0.001516059,0.000006367748,0.001019881,0.001994642,0.0009145979,0.0001498093,0.000069993,0.05847321],"genre_scores_gemma":[0.9829639,0.0001005124,0.0001016177,0.0004953634,0.000482165,0.0002052623,0.00008706479,0.00004178748,0.01552236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2148883,"threshold_uncertainty_score":0.9999675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03741875173108945,"score_gpt":0.3485290119659664,"score_spread":0.3111102602348769,"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."}}