{"id":"W6926345450","doi":"10.25314/ee44e69c-77e6-446e-9936-fe268b6d03b6","title":"Consumption Inequality in Canada, 1997 to 2009","year":2014,"lang":"en","type":"dataset","venue":"Federated Research Data Repository","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gini coefficient; Inequality; Consumption (sociology); Imputation (statistics); Economic inequality; Renting; Income inequality metrics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000822219,0.0007574427,0.001028658,0.00459069,0.002131185,0.002234257,0.001805552,0.0005563847,0.00727341],"category_scores_gemma":[0.004242691,0.000411583,0.0009212444,0.01656134,0.0005210151,0.0006828227,0.001629851,0.001264772,0.001639781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03642167,"about_ca_system_score_gemma":0.03971835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964231,"about_ca_topic_score_gemma":0.9970444,"domain_scores_codex":[0.9987444,0.00005860763,0.00009681009,0.0002256381,0.0004319579,0.0004425576],"domain_scores_gemma":[0.9961386,0.0001532166,0.0004442379,0.0001847697,0.002616521,0.0004625991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006354869,0.0001143815,0.5022509,0.0005690734,0.0005215556,0.0002154907,0.0008997238,0.002816211,0.0002510006,0.002861687,0.4649972,0.02386742],"study_design_scores_gemma":[0.00008606774,0.00002092963,0.8811535,0.0002763031,0.00008461726,0.00008750535,0.0009658232,0.002136691,0.0003208068,0.0002755917,0.1145257,0.00006643573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04868532,0.0008462555,0.0001230301,0.0008857761,0.00003542357,0.00003752717,0.9454219,0.0001182772,0.003846355],"genre_scores_gemma":[0.1431559,0.001408598,0.0005322035,0.0003464679,0.0000315224,0.0001172952,0.8484864,0.00006011856,0.005861502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03642167,"threshold_uncertainty_score":0.264259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1288530961957634,"score_gpt":0.3831893717394062,"score_spread":0.2543362755436429,"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."}}