{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003036638,0.0003245698,0.0007095538,0.0004622779,0.0003516565,0.0002349183,0.001009099,0.0004114565,0.000283902],"category_scores_gemma":[0.002994745,0.0002593705,0.00003368028,0.000572102,0.0001053728,0.0001280893,0.001051137,0.002296695,0.0002671305],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543991,"about_ca_system_score_gemma":0.005809582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9559693,"about_ca_topic_score_gemma":0.946646,"domain_scores_codex":[0.9946514,0.001156131,0.0007334024,0.001317385,0.001344161,0.0007975337],"domain_scores_gemma":[0.9956986,0.0003727925,0.0001362154,0.00274661,0.0005578897,0.0004879204],"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":[0.0004490388,0.0001189927,0.0001612927,0.0007944944,0.00006622102,0.0007892144,0.000003278444,5.72385e-7,0.007901355,3.076653e-7,0.989237,0.0004782615],"study_design_scores_gemma":[0.0003919459,0.0001234811,0.001761124,0.0008170635,0.00004060168,0.0001354072,0.00001981211,0.00003501239,0.006398642,6.805369e-7,0.9899874,0.0002888343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006986464,0.0007895962,7.727749e-7,0.002241045,0.0006951357,0.001138095,0.9880346,0.00001987794,0.00009438961],"genre_scores_gemma":[0.01057601,0.0004365183,0.00004326931,0.0007532069,0.0009730422,0.000007718822,0.9862636,0.00002537626,0.0009212512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009323227,"threshold_uncertainty_score":0.9999859,"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."}}