{"id":"W7136064763","doi":"10.6084/m9.figshare.5113813.v1","title":"Additional file 1: Table S1. of Food insecurity and food consumption by season in households with children in an Arctic city: a cross-sectional study","year":2017,"lang":"","type":"article","venue":"Figshare","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food insecurity; Food security; Food consumption; Arctic; Consumption (sociology); Table (database)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009396506,0.0008491886,0.001236402,0.002743913,0.001428039,0.000963804,0.001868646,0.0006271635,0.6291358],"category_scores_gemma":[0.01609235,0.0005322701,0.0006577282,0.006290385,0.0003094666,0.00157326,0.0009806453,0.0008411891,0.04425286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763273,"about_ca_system_score_gemma":0.003114496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1031519,"about_ca_topic_score_gemma":0.1192335,"domain_scores_codex":[0.999449,0.00008413442,0.0001126419,0.0001131163,0.0001299798,0.0001111839],"domain_scores_gemma":[0.9911499,0.004771834,0.001040776,0.0004224653,0.002236819,0.0003781741],"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":[0.0002287567,0.0001788317,0.02488383,0.002651928,0.00005418184,0.0001007337,0.0003266878,0.0003736465,0.00006390436,0.0003912404,0.9629417,0.007804507],"study_design_scores_gemma":[0.004581884,0.0007231476,0.6014688,0.01157019,0.0003644052,0.001365511,0.00853823,0.004071179,0.0007930499,0.003991405,0.3621854,0.0003467507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001512019,0.00001766552,0.00008374685,0.0000819274,0.00001484794,0.000214592,0.9972159,0.00004432391,0.0008149737],"genre_scores_gemma":[0.04472597,0.0003888978,0.002773343,0.0005710738,0.0001091947,0.008428008,0.9294044,0.0002355741,0.01336351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8968481,"threshold_uncertainty_score":0.5289927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2327621468609237,"score_gpt":0.410678341088058,"score_spread":0.1779161942271343,"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."}}