{"id":"W6931646085","doi":"10.5683/sp3/mn79w3","title":"Enquête sur les dépenses des ménages, 2006 [Canada]","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Context (archaeology); Ethnic discrimination; Cultural environment","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":[0.001272497,0.0004323914,0.0003096088,0.003020333,0.008689407,0.002574003,0.001034999,0.0007889625,0.01182632],"category_scores_gemma":[0.003275813,0.0004590582,0.0003598795,0.006761683,0.0008026643,0.0005620742,0.000979451,0.001502174,0.001366836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04766032,"about_ca_system_score_gemma":0.1365348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997896,"about_ca_topic_score_gemma":0.9991254,"domain_scores_codex":[0.9985586,0.00005709977,0.00007640741,0.000128247,0.0007512214,0.0004284462],"domain_scores_gemma":[0.9953569,0.0001471404,0.0002097222,0.00005577022,0.003380598,0.0008498984],"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":[0.0002553816,0.0001157972,0.2247163,0.000916735,0.00008213885,0.001052262,0.03576848,0.0005590536,0.002253645,0.00671942,0.5999696,0.1275911],"study_design_scores_gemma":[0.00001522388,0.0000415197,0.5138189,0.0003642995,0.00002450768,0.0001211556,0.01856232,0.0001311709,0.0005528015,0.0001523593,0.4661582,0.0000574967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.4511274,0.02625908,0.001987756,0.04141068,0.0028206,0.001335964,0.1926403,0.0004316267,0.2819866],"genre_scores_gemma":[0.370423,0.02870321,0.004492838,0.01058032,0.0003570007,0.0004925275,0.05073563,0.0001634624,0.534052],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.04766032,"threshold_uncertainty_score":0.3458015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04550923807922085,"score_gpt":0.2593861056567211,"score_spread":0.2138768675775002,"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."}}