{"id":"W6907563361","doi":"10.25318/9810042401-eng","title":"Highest level of education by Indigenous identity and labour force status: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts","year":2023,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Indigenous; Metropolitan area; Unemployment; Urban agglomeration; Identity (music)","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":[0.001132009,0.001439845,0.001571141,0.004410959,0.001582196,0.002322782,0.003945879,0.001061252,0.02636594],"category_scores_gemma":[0.006475844,0.0009830672,0.001611777,0.01430984,0.000438784,0.001059121,0.001558074,0.002120474,0.00934148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01243377,"about_ca_system_score_gemma":0.02811856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9718544,"about_ca_topic_score_gemma":0.9785758,"domain_scores_codex":[0.9989288,0.00005964585,0.0001281218,0.0001814706,0.0003136186,0.0003882368],"domain_scores_gemma":[0.9943913,0.0002993454,0.0004741618,0.0002624388,0.0038653,0.0007075522],"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":[0.00009464001,0.00002928178,0.01195868,0.0006298278,0.00008450257,0.00002318338,0.00008732585,0.0003374859,0.00003378142,0.0005278675,0.9839993,0.002194133],"study_design_scores_gemma":[0.0008088037,0.00003776057,0.3889193,0.001793468,0.0002663908,0.0001430221,0.001297735,0.001452346,0.0003851392,0.0009453097,0.6038314,0.0001194178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004915076,0.00005719467,0.00002567014,0.00004536201,0.00001103312,0.00001504539,0.9989743,0.00002768015,0.0003521987],"genre_scores_gemma":[0.004192112,0.0001533899,0.0002779828,0.00008149532,0.00001012446,0.000144647,0.9929267,0.00003740109,0.002176161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02814561,"threshold_uncertainty_score":0.09021372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442244867946287,"score_gpt":0.2830784752460204,"score_spread":0.2686560265665576,"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."}}