{"id":"W4253606361","doi":"10.4095/301044","title":"Labour Force Occupation, 2006 - Processing, Manufacturing and Utilities (by census subdivision)","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":"Subdivision; Census; Geography; Operations management; Engineering; Demography; Sociology; 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":[0.0004373158,0.000882849,0.0003255606,0.002812931,0.0005237081,0.0007181088,0.0008254172,0.0003272035,0.009686276],"category_scores_gemma":[0.001416714,0.0003495491,0.0004153132,0.004816637,0.0001076788,0.0006457262,0.0007515211,0.0006235716,0.009539614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815584,"about_ca_system_score_gemma":0.002602119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3132223,"about_ca_topic_score_gemma":0.4524232,"domain_scores_codex":[0.9994811,0.00003078881,0.00005885965,0.00006588385,0.0002532233,0.0001101204],"domain_scores_gemma":[0.9989825,0.00003837751,0.000161071,0.00002962955,0.0006791984,0.0001092092],"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":[0.0002183311,0.0002162797,0.2008986,0.000902913,0.00007300278,0.0001465557,0.0009036016,0.001190127,0.000592349,0.000761306,0.7499496,0.04414738],"study_design_scores_gemma":[0.0000287032,0.00006657364,0.8491909,0.0001857827,0.00001915656,0.0001351783,0.001003926,0.0004856946,0.0003084534,0.00009413275,0.1484681,0.00001342014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.05631837,0.0009685453,0.000242008,0.0003232875,0.0001992517,0.0001962994,0.9213558,0.0001447736,0.02025164],"genre_scores_gemma":[0.0871326,0.002539179,0.001084959,0.0001896562,0.00008090614,0.0004122443,0.850334,0.00005580482,0.05817071],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3132223,"threshold_uncertainty_score":0.6227983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805103273445301,"score_gpt":0.253611207682788,"score_spread":0.235560174948335,"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."}}