{"id":"W6931931362","doi":"10.5683/sp3/vlr2up","title":"Enquête sur la population active, juin 2017 [Canada] [Remanié 2025]","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Biochemical and Molecular Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Population; Publics; Research methodology; Ethnic community","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003085405,0.0005869003,0.0005097153,0.0001023333,0.0001923696,0.0001089929,0.0008729783,0.001270241,0.00007012236],"category_scores_gemma":[0.0006882104,0.0006096581,0.000288043,0.0002233386,0.0002114325,0.000008583969,0.000734763,0.0007078127,0.0001481377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001848738,"about_ca_system_score_gemma":0.0009192543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9081831,"about_ca_topic_score_gemma":0.947996,"domain_scores_codex":[0.9964938,0.0003468487,0.000491473,0.001082118,0.0007322772,0.0008534484],"domain_scores_gemma":[0.9977096,0.0001010154,0.0002416536,0.001268983,0.0002586728,0.0004200686],"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":[0.000165965,0.0001202345,0.00004841325,0.0003053856,0.0002883302,0.0002842009,0.000003773811,0.00000834869,0.01922652,0.00005150702,0.9748376,0.004659723],"study_design_scores_gemma":[0.0005159539,0.0001330297,0.003079636,0.0001431673,0.0001134793,0.00004156972,0.00001439987,0.00002401205,0.02592682,0.00004527261,0.9693171,0.0006455407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002715972,0.002061544,0.00002273886,0.001398975,0.000434085,0.0005354894,0.9908138,0.00002361523,0.001993811],"genre_scores_gemma":[0.001500708,0.004571269,0.00005287953,0.0004291329,0.0008530301,0.00009977689,0.9830189,0.00009833075,0.00937598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03981295,"threshold_uncertainty_score":0.9996355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177505206647761,"score_gpt":0.2859762073724835,"score_spread":0.2682256867077074,"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."}}