{"id":"W2102523874","doi":"10.3386/w15843","title":"The economic crisis and medical care usage","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Network for Studies on Pensions, Aging and Retirement; National Science Foundation","keywords":"Business","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":[0.001037533,0.0002956364,0.000361132,0.00186885,0.000484729,0.001515554,0.0007234845,0.0009093124,0.00518958],"category_scores_gemma":[0.008293614,0.0003785262,0.0005163242,0.003437258,0.0003466263,0.001003259,0.001757923,0.001778392,0.001567495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168535,"about_ca_system_score_gemma":0.0009549272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06953155,"about_ca_topic_score_gemma":0.07400949,"domain_scores_codex":[0.9985517,0.000360244,0.0002223872,0.000248363,0.0002985765,0.0003188658],"domain_scores_gemma":[0.9901591,0.001600391,0.006150028,0.000377459,0.0009024114,0.000810615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000140108,0.0002090994,0.9645383,0.00009661022,0.0001843913,0.00008204319,0.0002737497,0.001303634,0.00006159207,0.0006396181,0.02855918,0.003911545],"study_design_scores_gemma":[0.00002688891,0.00004331502,0.9897205,0.00004916471,0.00003106462,0.00009971813,0.000694198,0.001014461,0.0001160771,0.0001398775,0.008048557,0.00001617777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.779781,0.0006329048,0.0003863921,0.002849207,0.0000660461,0.0001139891,0.2079847,0.00006132302,0.00812434],"genre_scores_gemma":[0.7603618,0.0005892036,0.0006370028,0.0006466779,0.00008713218,0.0003696471,0.2326484,0.00002059517,0.004639596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06953155,"threshold_uncertainty_score":0.1382537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.372429450586347,"score_gpt":0.6155675728853586,"score_spread":0.2431381222990116,"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."}}