{"id":"W6942223197","doi":"10.1371/journal.pone.0267244.g003","title":"SNAP receipt patterns relative to Medicaid expansion month.","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Receipt; Medicaid; Current Population Survey; Snap; Population; Quarter (Canadian coin)","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":[0.0004055914,0.0003660069,0.000379492,0.002200558,0.0005694833,0.0005834678,0.0009189931,0.0003614268,0.04951783],"category_scores_gemma":[0.002933488,0.0003228305,0.0005456097,0.004327773,0.0001248348,0.0008604627,0.001240498,0.0008007727,0.01222498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007158827,"about_ca_system_score_gemma":0.001133991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1620013,"about_ca_topic_score_gemma":0.2325755,"domain_scores_codex":[0.9995762,0.00005322811,0.00006201521,0.0001054718,0.00009885384,0.0001042794],"domain_scores_gemma":[0.9985086,0.0001452029,0.000492055,0.00007554249,0.0005775634,0.0002010118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002777554,0.0000927102,0.1337883,0.0005858655,0.0001288621,0.00008744239,0.0003846684,0.0003976032,0.0001796516,0.001054227,0.8435745,0.01944842],"study_design_scores_gemma":[0.0001032923,0.00006134725,0.9037877,0.0005621774,0.0001104238,0.0002084125,0.00134651,0.0009707268,0.0002097699,0.0004628674,0.09213415,0.00004251589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03533136,0.0003459556,0.0001760635,0.000456337,0.00008712742,0.0001083938,0.9456341,0.0002610752,0.01759955],"genre_scores_gemma":[0.1641871,0.0008507943,0.0007448123,0.0005887474,0.00008806917,0.0007890559,0.804149,0.0001777022,0.0284246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1620013,"threshold_uncertainty_score":0.3221167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384960441712335,"score_gpt":0.2291800192819654,"score_spread":0.205330414864842,"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."}}