{"id":"W6932002094","doi":"10.5683/sp3/xjfkyp","title":"Canadian Labour Force Survey Tabulations of Employment Status by 4-digit NAICS Code","year":2015,"lang":"en","type":"dataset","venue":"Borealis","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Layoff; Code (set theory); Work (physics); Work force; Survey data collection; American Community Survey","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001291076,0.001723745,0.001412157,0.009578177,0.001951015,0.002299364,0.00330854,0.0007839511,0.05384106],"category_scores_gemma":[0.008355296,0.0006834519,0.001085153,0.02282855,0.0004621333,0.0007203978,0.001437068,0.001552979,0.03669864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01327238,"about_ca_system_score_gemma":0.02831415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9357258,"about_ca_topic_score_gemma":0.9625221,"domain_scores_codex":[0.9981718,0.0001101827,0.0001899787,0.000306061,0.0008075254,0.0004144909],"domain_scores_gemma":[0.9934916,0.0004044783,0.0003556405,0.0005233869,0.00474668,0.0004781263],"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":[0.00001814922,0.000008823882,0.001735794,0.0001646976,0.00001795501,0.00001421014,0.00003667548,0.0001186896,0.00002689933,0.0004924198,0.9953642,0.002001437],"study_design_scores_gemma":[0.00006233236,0.000006717581,0.02999413,0.0002707721,0.00002504129,0.00003737362,0.000238731,0.0003206877,0.0001924375,0.0004425229,0.9683689,0.0000402451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001307074,0.00003030472,0.00002845733,0.00002484513,0.00001123682,0.00001528559,0.9989459,0.0000547809,0.0007585126],"genre_scores_gemma":[0.0004859571,0.00005024411,0.0001612863,0.0000178512,0.000003695141,0.00005561357,0.9978543,0.00002516031,0.001345904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06427419,"threshold_uncertainty_score":0.1801163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378305710069818,"score_gpt":0.2681128007068683,"score_spread":0.2302822296998865,"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."}}