{"id":"W4394494974","doi":"10.6084/m9.figshare.20005850","title":"Meaningful Work Scale in creative industries: a confirmatory factor analysis","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confirmatory factor analysis; Scale (ratio); Work (physics); Psychology; Creative work; Data science; Computer science; Engineering; Structural equation modeling; Machine learning; Geography; Art; Cartography; Mechanical engineering; Visual arts","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00523258,0.0005171337,0.000544733,0.003100856,0.001085329,0.001383411,0.001351392,0.0003226403,0.004048689],"category_scores_gemma":[0.0158977,0.0002690291,0.000946121,0.007235715,0.0005234578,0.0004269363,0.001263246,0.0009782941,0.001349815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003207131,"about_ca_system_score_gemma":0.01111205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4389788,"about_ca_topic_score_gemma":0.5416618,"domain_scores_codex":[0.9979697,0.0004219099,0.0001829877,0.000264167,0.0009574866,0.0002037835],"domain_scores_gemma":[0.9936679,0.001582106,0.0003677651,0.0007084563,0.003359722,0.0003139687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005162708,0.0006476103,0.692508,0.001034216,0.0003688076,0.0002905965,0.006188373,0.002827003,0.0009446283,0.005644619,0.1191225,0.1699075],"study_design_scores_gemma":[0.000124788,0.00005861649,0.9232969,0.0001581898,0.00007947831,0.00007354673,0.002916648,0.003106067,0.0004272808,0.0008323035,0.06887279,0.00005339444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6132996,0.000600197,0.01017277,0.0008868146,0.0001035974,0.003232483,0.3513685,0.0006153908,0.01972052],"genre_scores_gemma":[0.5089147,0.0004976602,0.02450065,0.0001205099,0.00002273642,0.004220467,0.4561905,0.000140468,0.005392343],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4389788,"threshold_uncertainty_score":0.8728474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03560771009193696,"score_gpt":0.2556041456416711,"score_spread":0.2199964355497341,"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."}}