{"id":"W6969818023","doi":"10.5683/sp3/zjy4ep","title":"Replication Data and Code for: How important are wealth effects on consumption in Canada?","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Microbial metabolism and enzyme function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Mortgage and Housing Corporation; University of Ottawa","funders":"","keywords":"Replicate; Consumption (sociology); Replication (statistics); Code (set theory); Data file; Table (database)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003065497,0.0001661965,0.0002071387,0.00004892276,0.00006945117,0.00001523629,0.000286301,0.000139483,0.00002569639],"category_scores_gemma":[0.0003217288,0.0001690692,0.00001966828,0.000034709,0.00001387118,0.000003117064,0.0001773627,0.0001312009,1.074353e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008755793,"about_ca_system_score_gemma":0.0003464991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5922912,"about_ca_topic_score_gemma":0.9881212,"domain_scores_codex":[0.9987823,0.00007772657,0.0001865045,0.0006677503,0.0001119793,0.0001737815],"domain_scores_gemma":[0.9980432,0.00002787668,0.0002547806,0.001593598,0.00002046918,0.0000600978],"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":[0.0001150428,0.0000153047,0.000437892,0.000237842,0.00001848547,0.000004118577,0.000001427245,0.000001226445,0.001705417,0.000002429233,0.9965791,0.0008816967],"study_design_scores_gemma":[0.0003997293,0.00008761725,0.003463635,0.00002952264,0.0000460878,0.000007674254,0.00001172465,0.00001244808,0.001417329,0.000003704369,0.994351,0.0001695678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003188787,0.00132028,0.00001358305,0.0003594162,0.0002595052,0.0004837231,0.9943695,0.000003506076,0.000001714824],"genre_scores_gemma":[0.0003090823,0.005186956,0.00001899976,0.0007757473,0.0002343019,0.000116755,0.9933201,0.00001637831,0.00002166711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.39583,"threshold_uncertainty_score":0.6894442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151447983114627,"score_gpt":0.2652960765014679,"score_spread":0.2437815966703216,"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."}}