{"id":"W7100764636","doi":"","title":"CENTRE FOR THE STUDY OF LIVING STANDARDS THE STATE OF PRIVATE SECTOR ELECTRONIC LABOUR","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Private sector; Public sector; State (computer science); Descriptive research; Economic sector; Job loss","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":[0.001092545,0.0002105919,0.0004955,0.001525194,0.001993834,0.001544721,0.0006911153,0.0002764717,0.036777],"category_scores_gemma":[0.004794507,0.0001039364,0.0002106634,0.003542994,0.000682125,0.0005645609,0.0009994741,0.0008497921,0.002921535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01273842,"about_ca_system_score_gemma":0.02987981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9450042,"about_ca_topic_score_gemma":0.9455098,"domain_scores_codex":[0.9989972,0.0001301107,0.00003182358,0.0000997743,0.0005044048,0.0002367409],"domain_scores_gemma":[0.9963217,0.0004434331,0.00030996,0.000196609,0.002114811,0.0006134972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002019372,0.000189682,0.2297607,0.000822466,0.00007482352,0.0002111949,0.007309289,0.0006339839,0.0003146012,0.1024858,0.27137,0.3866255],"study_design_scores_gemma":[0.00001769842,0.00006027867,0.7766191,0.0004203719,0.00001832061,0.00003933878,0.003887082,0.0005139954,0.0001135656,0.002654253,0.2156369,0.00001916504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1852252,0.02043,0.004439473,0.02877605,0.0008511671,0.0007342087,0.2208352,0.0003886815,0.5383199],"genre_scores_gemma":[0.7125171,0.009030251,0.004602923,0.0009988915,0.0001978638,0.0007789241,0.02578383,0.000108696,0.2459816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9450042,"threshold_uncertainty_score":0.1230313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582271356483206,"score_gpt":0.2287799262713976,"score_spread":0.2029572127065655,"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."}}