{"id":"W6931653058","doi":"10.5683/sp2/1bisgv","title":"2006 Census of Canada, Selected Labour Force, Demographic, Cultural and Income Characteristics for the Employed Labour Force, by Place of Work at the Census Tract (CT) Level [custom tabulation]","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; American Community Survey; Metropolitan area; Census tract; Work (physics); Table (database); Sample (material)","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":[0.001388428,0.002152536,0.002203372,0.007486748,0.002459654,0.00282672,0.003551463,0.001058454,0.04194955],"category_scores_gemma":[0.009102737,0.001534182,0.001547775,0.02839276,0.0004435509,0.001536704,0.001228078,0.002557075,0.02508374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02536173,"about_ca_system_score_gemma":0.07417745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9863186,"about_ca_topic_score_gemma":0.9882351,"domain_scores_codex":[0.9978312,0.0001292437,0.0003162125,0.0003776701,0.0008425717,0.0005032718],"domain_scores_gemma":[0.9914052,0.0002918863,0.00051986,0.0002897008,0.006872438,0.0006208455],"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":[0.0000572239,0.00003320743,0.006411912,0.0007382972,0.0000439239,0.00002277584,0.00008101764,0.000281186,0.00002684924,0.0004350594,0.9886302,0.003238407],"study_design_scores_gemma":[0.0002770626,0.00003589515,0.2682199,0.001215873,0.0001138794,0.000101111,0.0009340097,0.0009387905,0.0002297602,0.0004265235,0.7274107,0.00009645461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002087265,0.00007260969,0.00002577493,0.00003136084,0.00001812553,0.00002296076,0.9989312,0.00002431086,0.0006649161],"genre_scores_gemma":[0.001769559,0.0003981621,0.0003758152,0.00007910752,0.00001223377,0.0001926498,0.9929256,0.00004065231,0.004206232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04194955,"threshold_uncertainty_score":0.1840131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959467803454278,"score_gpt":0.2536495475792175,"score_spread":0.2340548695446747,"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."}}