{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008857407,0.0008993875,0.001093942,0.0004451263,0.0006366418,0.001101083,0.005271647,0.0004318485,0.0001595316],"category_scores_gemma":[0.00134848,0.0009019237,0.0003171171,0.001762684,0.0005586438,0.0008885957,0.001969867,0.0006784514,0.001245715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004930812,"about_ca_system_score_gemma":0.002213276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979947,"about_ca_topic_score_gemma":0.9993008,"domain_scores_codex":[0.9938786,0.0004927606,0.001023065,0.001629902,0.001618856,0.001356793],"domain_scores_gemma":[0.993405,0.000891595,0.0006219876,0.00394392,0.0006061114,0.0005314023],"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":[0.000007388214,0.00008528559,0.0002658203,0.0003080135,0.0003667068,0.001440556,0.00004778034,0.00009446738,0.000004176246,0.001445725,0.9723155,0.02361851],"study_design_scores_gemma":[0.0002300509,0.00006031559,0.01254325,0.000407336,0.0003568674,0.00006772342,0.00004188492,0.001451919,0.00003251151,0.0003398825,0.9835302,0.0009380211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002935086,0.0030372,0.002053024,0.00208454,0.0009854113,0.0003092094,0.9906842,0.0002064712,0.000610578],"genre_scores_gemma":[0.00001643347,0.003038562,0.002011484,0.0008973266,0.0006646283,0.00006320564,0.9857517,0.00008192942,0.007474729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02268049,"threshold_uncertainty_score":0.9999359,"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."}}