{"id":"W7132243432","doi":"","title":"Average of Wages and Salaries per Worker Equivalents by Worker Classifications (thousand rupiahs), 2000, 2005, and 2008","year":2015,"lang":"id","type":"other","venue":"Neliti","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wages and salaries; Equivalent; Work (physics); Compensation of employees; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005097133,0.0003889118,0.0003485883,0.003653728,0.0004433815,0.0006510749,0.001329666,0.0002627854,0.01335417],"category_scores_gemma":[0.002737036,0.0003025779,0.0004313084,0.0046925,0.0001355527,0.0005765169,0.0006435239,0.0007551259,0.005259403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115418,"about_ca_system_score_gemma":0.001696353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1303172,"about_ca_topic_score_gemma":0.1930654,"domain_scores_codex":[0.9993399,0.00005347167,0.00009455533,0.00009771252,0.0002389916,0.0001753705],"domain_scores_gemma":[0.9979949,0.0001907368,0.0007919428,0.00007603459,0.0007318373,0.0002146022],"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":[0.0006236226,0.0002314246,0.3656139,0.001124983,0.0002147996,0.0001029593,0.0005114239,0.0007208158,0.0005553251,0.002639527,0.5711553,0.05650597],"study_design_scores_gemma":[0.00004914666,0.00006347259,0.9004394,0.000121176,0.00004810745,0.00009223528,0.0005248603,0.0003781206,0.0002615014,0.0001112256,0.0978912,0.00001946436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1358804,0.001173431,0.00046705,0.000473593,0.0002081864,0.0001508693,0.8218254,0.0005049728,0.03931609],"genre_scores_gemma":[0.2195694,0.00175169,0.001206656,0.0004149844,0.0001659429,0.000458153,0.6905839,0.0001332146,0.08571617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1303172,"threshold_uncertainty_score":0.2591173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467382809070948,"score_gpt":0.268563391287829,"score_spread":0.2438895631971195,"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."}}