{"id":"W6923426066","doi":"10.1371/journal.pone.0289587.s002","title":"Raw data.","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Job satisfaction; Bivariate analysis; Raw score; Categorical variable; Descriptive statistics; Confidence interval; Sample (material); Promotion (chess); Quarter (Canadian coin)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006463618,0.0008845301,0.001022461,0.00368964,0.001053226,0.002700082,0.001748858,0.0009792239,0.4684556],"category_scores_gemma":[0.03567918,0.0004674328,0.00111132,0.006097652,0.0004506024,0.001864986,0.002570127,0.001534694,0.2147845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609463,"about_ca_system_score_gemma":0.006621723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005816995,"about_ca_topic_score_gemma":0.004712312,"domain_scores_codex":[0.9947707,0.001350404,0.001084592,0.0007418621,0.001670628,0.0003817467],"domain_scores_gemma":[0.9812241,0.005474299,0.001151297,0.002638465,0.008644736,0.0008671422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006716981,0.000210424,0.008236567,0.002437547,0.00006321757,0.0001229126,0.0006940123,0.0002025385,0.0003350316,0.004458693,0.7946725,0.1878948],"study_design_scores_gemma":[0.0001312275,0.0001981235,0.01528136,0.001290719,0.00004026278,0.00009480276,0.001177505,0.0001899493,0.0003526834,0.002690861,0.9785105,0.00004185801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008925088,0.0008369121,0.006523805,0.003538203,0.002045023,0.005556393,0.8113965,0.002838802,0.1583392],"genre_scores_gemma":[0.0501623,0.002965051,0.04182063,0.005700523,0.0008141766,0.03540323,0.6574166,0.003059397,0.2026581],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5315444,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2661597409548804,"score_gpt":0.2700370924568117,"score_spread":0.003877351501931359,"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."}}