{"id":"W2951498689","doi":"","title":"The Income Distribution of Canada's Seniors: The Top End and Everyone Else","year":2013,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Distribution (mathematics); Business; Economics; Mathematics","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":[0.0006396208,0.0001920055,0.000298561,0.001983679,0.01484096,0.006787476,0.0009388868,0.0006196311,0.01092671],"category_scores_gemma":[0.002958831,0.0001491345,0.0001788405,0.003604173,0.00334403,0.001788335,0.003005333,0.001425095,0.0006083797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03570703,"about_ca_system_score_gemma":0.05101842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810311,"about_ca_topic_score_gemma":0.9939861,"domain_scores_codex":[0.9985594,0.00008760621,0.00001762192,0.0000509003,0.000342893,0.0009415734],"domain_scores_gemma":[0.9970126,0.0001215165,0.0001517319,0.00003643275,0.000985309,0.001692349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003432843,0.0001824347,0.4542346,0.000104208,0.00005579198,0.0008572492,0.1780936,0.000364438,0.0004487319,0.0926269,0.1316172,0.1410716],"study_design_scores_gemma":[0.000009911914,0.00003767472,0.5128661,0.000215617,0.00002308993,0.0001282474,0.3951986,0.0002314725,0.0001648909,0.004596915,0.08648125,0.00004619248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8841104,0.0009634946,0.0001164602,0.01524513,0.000107926,0.00001723837,0.001103926,0.0000158282,0.09831965],"genre_scores_gemma":[0.9827573,0.0003444889,0.00005898857,0.000629661,0.00001641931,0.000004349111,0.0001383391,0.00001170995,0.01603883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03570703,"threshold_uncertainty_score":0.2590739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03864009176385898,"score_gpt":0.2447844745573195,"score_spread":0.2061443827934605,"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."}}