{"id":"W6939128199","doi":"10.6068/dp14ba87c464b7","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Occupations | Country: Canada | Table: Labour force survey estimates (LFS), multiple jobholders by National Occupational Classification for Statistics (NOC-S), sex and age group | Variable: 25 to 44 years, Occupations unique to processing, manufacturing and utilities, Females | Units: # Persons x 1,000, 1987-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-143.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Census; Economic statistics; Wage; Summary statistics; Socioeconomic status; Population statistics; Statistical analysis","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":[0.002457979,0.002372401,0.002865473,0.009064879,0.003675861,0.004845545,0.005345867,0.001435494,0.1113794],"category_scores_gemma":[0.01936771,0.001888489,0.002096776,0.04179179,0.0006245557,0.002451837,0.002346447,0.003069997,0.06426132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05843595,"about_ca_system_score_gemma":0.153945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955282,"about_ca_topic_score_gemma":0.9938974,"domain_scores_codex":[0.9952815,0.0003332855,0.0005295089,0.0005652673,0.002191441,0.001099016],"domain_scores_gemma":[0.9622512,0.001366563,0.001023542,0.001000967,0.03258868,0.001769023],"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":[0.00002305719,0.000006589668,0.0009120524,0.0002414281,0.00001812077,0.000006024628,0.00002294707,0.0000854637,0.000008238815,0.0003325333,0.9962472,0.002096259],"study_design_scores_gemma":[0.0001599508,0.00001374877,0.02654465,0.0009749948,0.00007260646,0.00002845524,0.000528019,0.0004333965,0.000161272,0.0006902618,0.9703023,0.00009027398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000606509,0.00006441568,0.00003367355,0.0001464089,0.00003672855,0.00002031394,0.9984208,0.00007364034,0.001143242],"genre_scores_gemma":[0.0009411768,0.0004126349,0.0005707771,0.0002261041,0.00002474991,0.000178646,0.9907703,0.0001576475,0.006717969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1113794,"threshold_uncertainty_score":0.4239845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06082221362320041,"score_gpt":0.2966685528110858,"score_spread":0.2358463391878854,"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."}}