{"id":"W6983031250","doi":"","title":"Learning from Workforce Studies that Cut Across Social\\nServices","year":2020,"lang":"en","type":"article","venue":"Insecta mundi","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Psychological intervention; Welfare; Job analysis; Intervention (counseling); Set (abstract data type); Job attitude; Social work","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":[],"consensus_categories":[],"category_scores_codex":[0.0004043977,0.0001469087,0.0002394947,0.00001783352,0.0005101223,0.0003302521,0.0005049683,0.00007003873,0.0002566187],"category_scores_gemma":[0.000198716,0.0001241695,0.00004893142,0.0002363516,0.0001474247,0.0003117378,0.0003554816,0.0001791347,0.0004906839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004868816,"about_ca_system_score_gemma":0.00002945134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004043311,"about_ca_topic_score_gemma":0.000514321,"domain_scores_codex":[0.9984362,0.0001009507,0.0001593547,0.0003589935,0.0004069433,0.0005375932],"domain_scores_gemma":[0.9994723,0.0001418382,0.00006419916,0.0001262748,0.00005921365,0.0001362213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004826808,0.00001356777,0.00783168,0.00008236815,0.00001836165,0.00002793355,0.03342528,0.0006361296,0.9558501,0.0001138899,0.0004705367,0.00148193],"study_design_scores_gemma":[0.003252506,0.001309994,0.1180289,0.0007294026,0.00009216947,0.00002542214,0.02569699,0.008252465,0.7162124,0.002642982,0.12041,0.003346791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966888,0.000508367,0.0001210912,0.001303193,0.0004899849,0.00008674059,0.00001586662,0.0003013928,0.0004846057],"genre_scores_gemma":[0.9985904,0.0001373948,0.0002365568,0.0002746673,0.0005000748,0.00001795655,0.000006201928,0.00001882559,0.0002179097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2396376,"threshold_uncertainty_score":0.6306912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134187526647301,"score_gpt":0.3619164698695557,"score_spread":0.2277289432222547,"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."}}