{"id":"W3091746885","doi":"10.1542/peds.2019-3386","title":"A National Prescription for Health: Tax Credits","year":2020,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earned income tax credit; Poverty; Tax credit; Voucher; Medicine; Subsidy; Allowance (engineering); Child poverty; Working poor; Welfare; Extreme poverty; Medicaid; Economic growth; Single parent; Welfare reform; Health care; Public economics; Economics","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":[0.002590314,0.0006078876,0.0006769067,0.001021767,0.002843986,0.003433439,0.001656921,0.01000298,0.1044279],"category_scores_gemma":[0.01450292,0.0004240084,0.0007020884,0.001093375,0.001903711,0.00361755,0.0028615,0.0127713,0.02322127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002771091,"about_ca_system_score_gemma":0.008853562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01828412,"about_ca_topic_score_gemma":0.02608928,"domain_scores_codex":[0.9975999,0.0007247217,0.0001393491,0.0002836412,0.0008952132,0.0003571101],"domain_scores_gemma":[0.9961703,0.001402521,0.0002479575,0.0003398155,0.001007995,0.0008313805],"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":[0.00003951241,0.00005370829,0.0002730095,0.00006062566,0.00000678272,0.00003567073,0.00004864686,0.0000599406,0.00005817017,0.03511183,0.9267156,0.03753655],"study_design_scores_gemma":[0.00005923727,0.00003068053,0.0005443114,0.0002970976,0.000007197113,0.00004883262,0.0000583066,0.00008727234,0.00004335012,0.005342769,0.9934666,0.00001440618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001582651,0.009340636,0.001571799,0.6514681,0.03040805,0.0002243946,0.003784305,0.0008054439,0.3008147],"genre_scores_gemma":[0.03157882,0.01489706,0.005626779,0.6160961,0.01146431,0.0005808701,0.003095329,0.0002854621,0.3163753],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1044279,"threshold_uncertainty_score":0.3493462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3294293892498094,"score_gpt":0.4923787395527641,"score_spread":0.1629493503029547,"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."}}