{"id":"W2901042495","doi":"10.1177/0020731418809857","title":"The Uneven Foci of Work Disability Research Across Cause-based and Comprehensive Social Security Systems","year":2018,"lang":"en","type":"review","venue":"International Journal of Health Services","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Entitlement (fair division); Scope (computer science); Inclusion (mineral); Social security; Work (physics); Disability benefits; Disability studies; Sociology; Welfare; Medical model of disability; Social Welfare; Public relations; Public economics; Political science; Medicine; Computer science; Social science; Economics; Law; Psychiatry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[],"category_scores_codex":[0.02971976,0.001016945,0.003322712,0.01559148,0.001802363,0.007408062,0.002035946,0.00281062,0.005031177],"category_scores_gemma":[0.1161021,0.0008939579,0.002582981,0.01674893,0.00352523,0.006611514,0.004022518,0.002573253,0.0007519757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005803778,"about_ca_system_score_gemma":0.02193336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00962694,"about_ca_topic_score_gemma":0.01470989,"domain_scores_codex":[0.9781756,0.008881642,0.00541538,0.002284449,0.004415359,0.0008275972],"domain_scores_gemma":[0.8573434,0.1248187,0.005752967,0.002347889,0.009174262,0.0005628104],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001931323,0.0000700771,0.002747108,0.427565,0.001813294,0.0003767984,0.00857226,0.0004215885,0.0005648853,0.03242896,0.008504926,0.5167419],"study_design_scores_gemma":[0.00004503356,0.0001462761,0.007357276,0.7409149,0.003606907,0.000627849,0.01107458,0.0001005846,0.0005921874,0.009634341,0.2258416,0.00005850078],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001579626,0.9914119,0.0006051539,0.002382085,0.0004333448,0.00008054811,0.0001037905,0.000006579529,0.003396858],"genre_scores_gemma":[0.01992279,0.9758435,0.001198579,0.001932071,0.000294382,0.0002566531,0.0001397125,0.00001548476,0.0003968139],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9702802,"threshold_uncertainty_score":0.1571749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.293383071644542,"score_gpt":0.6037582385579465,"score_spread":0.3103751669134045,"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."}}