{"id":"W7071137348","doi":"","title":"Social Inclusion Health Indicators","year":2006,"lang":"en","type":"other","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Social determinants of health; Population; Social inequality; Health equity; Population health; Public health; Inequality","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004897336,0.0006942113,0.001040055,0.001360308,0.0006887797,0.00005840507,0.0007098214,0.000924552,0.006993067],"category_scores_gemma":[0.00002288511,0.0006997111,0.0001819093,0.001094163,0.000236027,0.00004716665,0.0009951493,0.0006665068,0.01529645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009784208,"about_ca_system_score_gemma":0.0005809626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03361162,"about_ca_topic_score_gemma":0.02849572,"domain_scores_codex":[0.996255,0.000328361,0.0005284885,0.0008065335,0.001122782,0.0009588053],"domain_scores_gemma":[0.9979752,0.00002574952,0.001090276,0.000608054,0.00002554115,0.0002751322],"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":[0.00002431583,0.0001543937,0.0007427894,0.0001791943,0.00007986293,0.00003074009,0.001636074,4.056566e-7,0.00001760223,0.000409594,0.9912154,0.005509628],"study_design_scores_gemma":[0.001048427,0.00006701421,0.0005095763,0.0002583677,0.00004728852,0.000003703834,0.00003724703,0.000002287682,0.00002394215,0.0002437115,0.9971048,0.0006536489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002112391,0.006784394,0.00001367563,0.001841102,0.0006709822,0.001001649,0.00192335,0.001825293,0.9857283],"genre_scores_gemma":[0.008972267,0.0001311562,0.0002662922,0.001064846,0.006663258,0.0000530948,0.001881575,0.004086907,0.9768806],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.00884771,"threshold_uncertainty_score":0.9995454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009800333834083151,"score_gpt":0.3043152955744508,"score_spread":0.2945149617403676,"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."}}