{"id":"W2895246123","doi":"10.1177/1084822318803099","title":"Case Manager Work and Workload: Uncovering a Wicked Problem—A Secondary Analysis Using Interpretive Description","year":2018,"lang":"en","type":"article","venue":"Home Health Care Management & Practice","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"","keywords":"Workload; Work (physics); Population; Population ageing; Nursing; Gerontology; Psychology; Operations management; Medicine; Management; Engineering; Environmental health; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001656963,0.0003498229,0.0006132242,0.0008913153,0.001865548,0.0001187836,0.0001649659,0.0001799178,0.0003709441],"category_scores_gemma":[0.0001320163,0.000358194,0.000133707,0.002432703,0.00016527,0.0009130723,0.0004518413,0.0007550293,0.00008982761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377003,"about_ca_system_score_gemma":0.0002594045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003096594,"about_ca_topic_score_gemma":0.001320033,"domain_scores_codex":[0.9957508,0.001206656,0.0008729202,0.0008130128,0.0004098097,0.0009468331],"domain_scores_gemma":[0.9972556,0.0005362102,0.0008303234,0.0006316674,0.0004407518,0.0003055099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.005500151,0.0004520817,0.02562213,0.0102937,0.006306391,0.00442817,0.569752,0.0002106754,0.000012726,0.002567184,0.03677501,0.3380797],"study_design_scores_gemma":[0.002348933,0.0007417934,0.02523997,0.00201515,0.005160837,0.0002392566,0.7960981,0.0002496293,0.000002165933,0.0003143158,0.1665248,0.001065105],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8741953,0.01033964,0.03877084,0.006817936,0.004368801,0.005487987,0.000053587,0.0006356512,0.05933022],"genre_scores_gemma":[0.973518,0.0005752245,0.02061938,0.0036669,0.0004105603,0.0001388428,0.00003600174,0.00006091882,0.000974232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3370146,"threshold_uncertainty_score":0.999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178735374649296,"score_gpt":0.3845249725513031,"score_spread":0.3527376188048102,"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."}}