{"id":"W7111793514","doi":"","title":"Structural inequalities in food and healthcare: a sociological comparison of Upstate and Downstate New York","year":2025,"lang":"en","type":"other","venue":"SUNY Digital Repository Support (State University of New York System)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Borough; Inequality; Public health; Health equity; Population; Social 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"],"consensus_categories":[],"category_scores_codex":[0.0002229419,0.0007701483,0.002265024,0.0008894271,0.0001406117,0.0001233064,0.0005314142,0.0005733476,0.0000518926],"category_scores_gemma":[0.00003909844,0.0008208023,0.0002560169,0.0003509081,0.0008729256,0.0003085691,0.0004161808,0.0005243417,0.00001873772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004411845,"about_ca_system_score_gemma":0.001580737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02650661,"about_ca_topic_score_gemma":0.004079133,"domain_scores_codex":[0.9960569,0.0003675193,0.001213889,0.001016172,0.0006560882,0.0006894773],"domain_scores_gemma":[0.9966612,0.0002191761,0.001828912,0.0005962788,0.0001282933,0.0005661166],"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":[0.003038857,0.0002344184,0.3710538,0.01243632,0.002024533,0.0008098001,0.03466455,0.00007994702,0.0002064008,0.004181385,0.5640852,0.007184774],"study_design_scores_gemma":[0.02761194,0.01070649,0.0515596,0.02666464,0.001535944,0.0009675734,0.3473583,0.0004235361,0.0007567564,0.003510186,0.5205116,0.008393312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6289159,0.009720997,0.0001120476,0.0001697025,0.001357352,0.003018586,0.008997047,0.0009122306,0.3467961],"genre_scores_gemma":[0.7093919,0.00003963394,0.0001788557,0.000007080691,0.00005815356,4.753167e-7,0.0002292866,0.0001585159,0.2899361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3194942,"threshold_uncertainty_score":0.9994243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04164894157971821,"score_gpt":0.2500092014587149,"score_spread":0.2083602598789967,"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."}}