{"id":"W6901607061","doi":"10.6068/dp14ba8a9775347","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 years and over, Occupations in social science, education, government service and religion, 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; Government (linguistics); Social statistics; General Social Survey","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":[0.002323129,0.002380878,0.002957672,0.008724282,0.003534232,0.004646428,0.005466329,0.001460156,0.09651332],"category_scores_gemma":[0.01837403,0.001852796,0.002110376,0.04210942,0.0006397034,0.002373948,0.002305249,0.003180713,0.05928515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05482904,"about_ca_system_score_gemma":0.1501273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955066,"about_ca_topic_score_gemma":0.9940533,"domain_scores_codex":[0.9955422,0.0003223225,0.0005101209,0.0005523388,0.002041307,0.001031815],"domain_scores_gemma":[0.9654427,0.00126427,0.001018673,0.0009565523,0.0296167,0.001701064],"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":[0.00002320107,0.00000649292,0.0009753052,0.0002414828,0.00001954074,0.000005813192,0.00002260299,0.00008928007,0.000008199573,0.0003125613,0.9964503,0.001845179],"study_design_scores_gemma":[0.0001814761,0.0000138911,0.02770025,0.0009795281,0.00007933352,0.00002743312,0.0005574969,0.0004769854,0.0001657226,0.0006966243,0.969029,0.00009226524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005890158,0.00005922918,0.00002957007,0.000134889,0.00003274779,0.0000181661,0.9987053,0.00006264081,0.0008986225],"genre_scores_gemma":[0.0008741069,0.0003601397,0.0004873713,0.0002024739,0.00002285637,0.0001682613,0.9924135,0.0001259403,0.005345342],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09651332,"threshold_uncertainty_score":0.3978144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04130290509858075,"score_gpt":0.2955034596213403,"score_spread":0.2542005545227595,"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."}}