{"id":"W4237969116","doi":"10.4095/301045","title":"Labour Force Occupation, 2006 - Processing, Manufacturing and Utilities (by census division)","year":2010,"lang":"en","type":"report","venue":"","topic":"Legal and Labor Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Division of labour; Engineering; Geography; Economics; Sociology; Demography; Mathematics; Arithmetic; Population; Market economy","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":[0.0004199703,0.0009143265,0.0003188407,0.003024118,0.0005229738,0.0007410997,0.0007698653,0.0003276252,0.0103282],"category_scores_gemma":[0.001383685,0.0003426567,0.000410987,0.005384164,0.0001044985,0.0007090633,0.0006533362,0.0006331776,0.009431812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784974,"about_ca_system_score_gemma":0.002573372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2760212,"about_ca_topic_score_gemma":0.4169616,"domain_scores_codex":[0.9994884,0.00002794324,0.00006179622,0.00006181473,0.0002557787,0.000104164],"domain_scores_gemma":[0.9990095,0.00003851913,0.0001561777,0.00002456611,0.0006729254,0.00009829763],"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":[0.0001779293,0.0001882901,0.1376088,0.000956592,0.0000640532,0.0001142892,0.0006166802,0.0009137838,0.000431918,0.0006426213,0.8205606,0.03772448],"study_design_scores_gemma":[0.00003633923,0.0000689431,0.8021901,0.0002544418,0.0000231976,0.0001476614,0.00103771,0.0004739097,0.000325915,0.0001078944,0.1953187,0.00001528007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03523896,0.0009441288,0.0002079568,0.0003037668,0.0002252661,0.0001789104,0.9451668,0.0001165361,0.01761754],"genre_scores_gemma":[0.07305285,0.003256001,0.001094704,0.0002417553,0.00009988132,0.0005041822,0.8656103,0.00005560505,0.05608467],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2760212,"threshold_uncertainty_score":0.5488291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773636650321597,"score_gpt":0.2539085227256113,"score_spread":0.2361721562223953,"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."}}