{"id":"W6963931195","doi":"10.25318/9810052701-fra","title":"Langues utilisées au travail selon la langue maternelle, l'industrie et le plus haut certificat, diplôme ou grade : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Derogation; Context (archaeology); Lexicology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0015221,0.001345994,0.001085414,0.0004619584,0.001944847,0.0005961353,0.001107013,0.0004660281,0.001608323],"category_scores_gemma":[0.001721344,0.00157552,0.0001105921,0.0007282082,0.0006176559,0.0003257846,0.000398542,0.001604282,0.000009807722],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01845923,"about_ca_system_score_gemma":0.02678575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984606,"about_ca_topic_score_gemma":0.999929,"domain_scores_codex":[0.9888223,0.003920031,0.001761287,0.001326722,0.002405345,0.001764355],"domain_scores_gemma":[0.9936283,0.002401569,0.001465373,0.001119741,0.000578513,0.0008064922],"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":[0.000101496,0.0006206998,0.00109937,0.0008771123,0.0004739977,0.0007740339,0.00314005,0.002972758,0.000490692,0.02001153,0.9679597,0.001478544],"study_design_scores_gemma":[0.0006997976,0.0001662296,0.0322821,0.0006942098,0.0006950846,0.0001021472,0.02564815,0.002242932,0.001105874,0.0003254442,0.9345291,0.001508972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006382642,0.001867771,0.001137306,0.02012468,0.0009415851,0.00170765,0.9674306,0.0001454478,0.0002623365],"genre_scores_gemma":[0.06726193,0.002157749,0.002073587,0.0005332155,0.0001637409,0.001226906,0.9200852,0.0003068594,0.006190835],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06087929,"threshold_uncertainty_score":0.9999291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349061769362511,"score_gpt":0.2885845112303758,"score_spread":0.2650938935367507,"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."}}