{"id":"W4248753527","doi":"10.4095/301040","title":"Labour Force Occupation, 2006 - Social Sciences, Education, Government Services and Religion (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Government (linguistics); Demographic economics; Sociology; Geography; Economic growth; Political science; Labour economics; Social science; Economics; Demography; Archaeology; Population","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":[0.0005095675,0.0008156963,0.0003188854,0.002758436,0.0005685225,0.0006651785,0.0006786149,0.0002894185,0.008344561],"category_scores_gemma":[0.001333393,0.0003094618,0.0003915812,0.003884785,0.0001095048,0.0005674993,0.00071034,0.0006606776,0.006928312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002261502,"about_ca_system_score_gemma":0.003732288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4249603,"about_ca_topic_score_gemma":0.5832295,"domain_scores_codex":[0.9995395,0.0000286081,0.00005204566,0.00004911043,0.0002400083,0.00009073281],"domain_scores_gemma":[0.9989564,0.00003849983,0.0001235463,0.0000284525,0.0007354284,0.0001176773],"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":[0.000199116,0.0002736465,0.1741841,0.000938939,0.0000845684,0.0001308012,0.0006896337,0.001052028,0.000644322,0.000733684,0.7754561,0.04561298],"study_design_scores_gemma":[0.00004056216,0.00007138147,0.8188745,0.0002165841,0.00002950836,0.0001222353,0.0008880247,0.0005441814,0.000466156,0.00008618292,0.1786443,0.00001644852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04891857,0.000804498,0.0002477547,0.0003364975,0.0002260758,0.0002606694,0.9245426,0.0001459308,0.02451731],"genre_scores_gemma":[0.07387248,0.003047631,0.001400637,0.0002262975,0.00008025188,0.0005199204,0.8462334,0.00005921005,0.07456023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5750397,"threshold_uncertainty_score":0.8449736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370522555615145,"score_gpt":0.3311937820915073,"score_spread":0.3174885565353558,"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."}}