{"id":"W3121886110","doi":"10.1177/1535684120980992","title":"Compound Disadvantage between Economic Declines at the City and Neighborhood Levels for Older Americans’ Depressive Symptoms","year":2021,"lang":"en","type":"article","venue":"City and Community","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Disadvantage; Socioeconomic status; Mental health; Depressive symptoms; Survey data collection; Demographic economics; Psychology; Gerontology; Geography; Sociology; Demography; Medicine; Economics; Political science; Cognition; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007281294,0.0001122191,0.0002713541,0.00001208852,0.004334073,0.0001407296,0.0002408626,0.00008177116,0.0001191561],"category_scores_gemma":[0.0002690268,0.0000910972,0.0000609298,0.00005701443,0.0007214463,0.0001507693,0.000327087,0.000314158,0.000001542024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008453858,"about_ca_system_score_gemma":0.0001450416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01434725,"about_ca_topic_score_gemma":0.04891872,"domain_scores_codex":[0.9984945,0.0007705899,0.0001932711,0.0001436737,0.00008599943,0.0003119449],"domain_scores_gemma":[0.9964145,0.002971474,0.0000929694,0.0002948256,0.00005109236,0.0001751579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007678253,0.00003320778,0.9800107,0.00004721111,0.00003597662,6.137949e-7,0.006905734,5.89542e-7,0.000001451051,0.003553023,0.0001777564,0.009226024],"study_design_scores_gemma":[0.0004041867,0.00001991232,0.9655645,0.00002506576,0.00003824183,0.000001723759,0.01097244,0.00001670052,0.00004913988,0.008127355,0.01464673,0.0001339802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909483,0.0007778498,0.0003434972,0.005107106,0.0001356348,0.0002528847,0.000278136,0.00002419634,0.002132374],"genre_scores_gemma":[0.9971954,0.0004654978,0.00005550392,0.001630405,0.0001529606,0.00002265712,0.00002990888,0.000006844423,0.0004408637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03457147,"threshold_uncertainty_score":0.9969621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09175920861021292,"score_gpt":0.3818319196981134,"score_spread":0.2900727110879004,"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."}}