{"id":"W6976323382","doi":"10.6068/dp14ba85b511432","title":"Trend 1989 - 2011. 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 54 years, Labourers in processing, manufacturing and utilities, Females | Units: # Persons x 1,000, 1989-2011. 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":[0.002312506,0.002298884,0.002750681,0.008375921,0.003574474,0.004615959,0.005146289,0.001432749,0.1065935],"category_scores_gemma":[0.01813162,0.001848822,0.002085572,0.03854311,0.0005727221,0.002358768,0.002266502,0.002989537,0.06093808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05519491,"about_ca_system_score_gemma":0.1422902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953863,"about_ca_topic_score_gemma":0.9936424,"domain_scores_codex":[0.9955165,0.0003153217,0.000513578,0.0005493799,0.002067597,0.001037707],"domain_scores_gemma":[0.9641978,0.001263578,0.0009743578,0.000942176,0.03100498,0.001617161],"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":[0.00002446108,0.00000681096,0.0009994889,0.0002643523,0.0000191816,0.000006625306,0.00002302943,0.00008786305,0.000008685893,0.0003197748,0.9961091,0.002130618],"study_design_scores_gemma":[0.0001594468,0.0000141043,0.02960425,0.0009887593,0.00007544525,0.00002994778,0.000511997,0.0004364592,0.0001635042,0.0006036017,0.9673221,0.00009038902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005972771,0.00006187931,0.00002934815,0.0001367439,0.00003466252,0.00001866959,0.9985384,0.00006180772,0.001058719],"genre_scores_gemma":[0.0009272259,0.0003986945,0.0005028654,0.0002103613,0.00002322879,0.0001618822,0.991399,0.0001334651,0.006243126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1065935,"threshold_uncertainty_score":0.400469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05642970032444387,"score_gpt":0.2890648411542099,"score_spread":0.2326351408297661,"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."}}