{"id":"W2803103815","doi":"10.1186/s12960-018-0277-9","title":"Relationships between work outcomes, work attitudes and work environments of health support workers in Ontario long-term care and home and community care settings","year":2018,"lang":"en","type":"article","venue":"Human Resources for Health","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Wilfrid Laurier University; Institute for Work & Health; McMaster University; Ontario Long Term Care Association; York University; Toronto Metropolitan University; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Work (physics); Work engagement; Job satisfaction; Psychology; Health care; Nursing; Supervisor; Survey data collection; Public relations; Medicine; Social psychology; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00214869,0.0002930301,0.0008844846,0.0002649591,0.003652203,0.00002919171,0.0001821286,0.0002855892,0.00003402846],"category_scores_gemma":[0.00006078036,0.0002829192,0.00006153899,0.0002723718,0.0003963383,0.0000740754,0.0002285488,0.001497219,0.000003257174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008141993,"about_ca_system_score_gemma":0.0003309694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03091772,"about_ca_topic_score_gemma":0.1682234,"domain_scores_codex":[0.996076,0.001449242,0.001037711,0.0004166954,0.0002500078,0.0007703658],"domain_scores_gemma":[0.9974314,0.0009782882,0.0006814164,0.0004796097,0.0000546081,0.000374698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009968386,0.00002932473,0.7661037,0.001235423,0.00002367246,3.963392e-7,0.2268109,2.34024e-7,8.500835e-8,0.000005331184,0.0008625023,0.004828655],"study_design_scores_gemma":[0.001443021,0.0007509224,0.9486669,0.0019042,0.00003024781,4.773331e-7,0.04377884,1.429184e-8,1.899228e-7,0.00005093491,0.003168863,0.0002053951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927956,0.004160887,0.00001473634,0.001041898,0.0001581698,0.001618749,0.00005298831,0.00004130102,0.0001157035],"genre_scores_gemma":[0.9980138,0.0001033064,0.0006018264,0.0002720936,0.0001036741,0.00006403146,0.0003008354,0.000046834,0.0004936298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1830321,"threshold_uncertainty_score":0.9999623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08699258103318337,"score_gpt":0.3902435370971749,"score_spread":0.3032509560639916,"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."}}