{"id":"W6920354915","doi":"10.6068/dp14ba857653f60","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Occupations | Country: Canada | Table: Labour force survey estimates (LFS), job tenure by National Occupational Classification for Statistics (NOC-S) and sex | Variable: 4 to 6 months, Labourers in processing, manufacturing and utilities, Females | Units: # Months 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":"Economic statistics; Census; Official statistics; Wage; Summary statistics; Socioeconomic status; Wages and salaries; Social statistics; Population statistics","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":[0.002240091,0.002289857,0.002740062,0.008440916,0.003656803,0.004774604,0.005186698,0.001408098,0.1110518],"category_scores_gemma":[0.01854791,0.001834142,0.002117499,0.03968013,0.0006118005,0.002457543,0.002294025,0.003054885,0.0666112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05293784,"about_ca_system_score_gemma":0.1414932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954011,"about_ca_topic_score_gemma":0.9938087,"domain_scores_codex":[0.995666,0.0003024126,0.000475554,0.0005375742,0.001968455,0.001049925],"domain_scores_gemma":[0.9654754,0.001250495,0.000960761,0.0009601363,0.02969552,0.001657638],"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":[0.00002314511,0.00000650196,0.0009851807,0.0002422548,0.00001847843,0.00000617251,0.00002424789,0.00008846642,0.000008453347,0.0003327245,0.9962479,0.002016466],"study_design_scores_gemma":[0.0001621681,0.00001377834,0.02717542,0.000951582,0.00007089836,0.00002828972,0.0005589081,0.0004492785,0.0001626324,0.0007100974,0.9696261,0.00009083896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006007105,0.0000580362,0.00003263929,0.0001349193,0.00003395212,0.00001832815,0.9985073,0.00007207247,0.001082632],"genre_scores_gemma":[0.0009398988,0.0003719118,0.0005385813,0.0002038476,0.00002346499,0.0001650648,0.9912577,0.0001563854,0.006343164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1110518,"threshold_uncertainty_score":0.3840927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04530477388950543,"score_gpt":0.2913984170120894,"score_spread":0.246093643122584,"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."}}