{"id":"W7098446315","doi":"","title":"Article Component of Statistics Canada Catalogue no. 82-003-X Health Reports Income disparities in health-","year":2009,"lang":"en","type":"article","venue":"","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Census; Sample (material); Population; Health data; Population health; Component (thermodynamics)","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":[0.002624591,0.001689961,0.002037054,0.0187685,0.002021179,0.004252576,0.003456646,0.001455639,0.2714224],"category_scores_gemma":[0.02228245,0.001618624,0.001177484,0.05574016,0.0005733064,0.001634805,0.001128341,0.001744444,0.1892358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02794654,"about_ca_system_score_gemma":0.1023538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9541752,"about_ca_topic_score_gemma":0.9276314,"domain_scores_codex":[0.9929571,0.0004151538,0.0008061554,0.0005182001,0.004568595,0.0007348379],"domain_scores_gemma":[0.9467946,0.003649132,0.00183366,0.001847846,0.04415736,0.001717335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001563514,0.00001451582,0.001314144,0.0002701442,0.00001050028,0.000009790885,0.00001759013,0.0001341091,0.00002599419,0.0008273592,0.9856585,0.01170173],"study_design_scores_gemma":[0.0000424833,0.00001619127,0.02612716,0.0005602106,0.00002297293,0.00003943531,0.0001139247,0.0004411967,0.0001162203,0.0007076655,0.9717731,0.00003943787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002246893,0.0004211366,0.0002973297,0.0004625138,0.0001820709,0.0002710144,0.9608072,0.0003582077,0.03697575],"genre_scores_gemma":[0.002622812,0.002870013,0.002116093,0.0004236636,0.0001589519,0.0005573464,0.9082376,0.000479037,0.08253443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2714224,"threshold_uncertainty_score":0.9079986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116461135477622,"score_gpt":0.1902892339448689,"score_spread":0.1786431203971067,"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."}}