{"id":"W4378386481","doi":"10.1515/9780773575738-001","title":"Tables and Figures","year":2009,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008386453,0.001218694,0.001271603,0.006697611,0.001602235,0.004080327,0.001966414,0.001102261,0.8237718],"category_scores_gemma":[0.01111462,0.0005833516,0.0008061746,0.01585897,0.0004839404,0.002112804,0.001121514,0.001507246,0.6248927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003676594,"about_ca_system_score_gemma":0.004716035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04418926,"about_ca_topic_score_gemma":0.04204892,"domain_scores_codex":[0.9984528,0.0001223225,0.0001588711,0.0003020272,0.0008002538,0.0001637414],"domain_scores_gemma":[0.9935287,0.00125299,0.0004710022,0.0005366822,0.003823069,0.0003875864],"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":[0.00001130822,0.000008788113,0.00008283274,0.0002448638,0.000002846516,0.00001339631,0.00001178571,0.0001022173,0.00002450033,0.001381585,0.9813939,0.01672199],"study_design_scores_gemma":[0.00001303807,0.000006607055,0.0005495404,0.0001597248,0.000002321822,0.00002135983,0.00002599664,0.00005224102,0.00001849384,0.000944533,0.9982007,0.000005589598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004486077,0.003315744,0.00187681,0.002773411,0.009722237,0.0004895333,0.5267082,0.003640077,0.4510254],"genre_scores_gemma":[0.003806546,0.006695488,0.004481718,0.002288941,0.002677551,0.000602157,0.4050713,0.001868304,0.5725079],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8237718,"threshold_uncertainty_score":0.251368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264219129210334,"score_gpt":0.2507257746420532,"score_spread":0.2280835833499499,"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."}}