{"id":"W6921083891","doi":"10.6084/m9.figshare.9760892","title":"Additional file 3: of A multi-country survey of public support for food policies to promote healthy diets: Findings from the International Food Policy Study","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public support; Food policy; Public policy; Logistic regression; Food security; Government (linguistics); Healthy food; 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":[0.001702338,0.0009196256,0.001164797,0.003663002,0.002480497,0.00159719,0.002284998,0.0007373372,0.610233],"category_scores_gemma":[0.02625919,0.0006609468,0.001074452,0.008417721,0.0004183584,0.001853305,0.001162108,0.001172035,0.04226872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004940636,"about_ca_system_score_gemma":0.009919274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6129761,"about_ca_topic_score_gemma":0.6677652,"domain_scores_codex":[0.9990702,0.0001318325,0.0001412505,0.0001268357,0.0002871953,0.0002427114],"domain_scores_gemma":[0.980531,0.009723633,0.001711206,0.0008374508,0.006473146,0.0007234709],"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":[0.0001783734,0.0001107367,0.01987185,0.001408002,0.00005936849,0.00006144612,0.0003033346,0.000321408,0.00003265225,0.0005022181,0.9718802,0.005270472],"study_design_scores_gemma":[0.003966208,0.0002697342,0.5532536,0.005277599,0.0004822039,0.0004488988,0.009685851,0.002659772,0.0006550431,0.003090988,0.4198739,0.0003362429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008793362,0.00001037534,0.00005204945,0.00008071055,0.00001133024,0.0001167713,0.9977894,0.00003263085,0.00102732],"genre_scores_gemma":[0.03842896,0.0002163127,0.002461016,0.0005503551,0.00006844026,0.004991185,0.9357792,0.0002434696,0.0172611],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6129761,"threshold_uncertainty_score":0.7786062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1186118018979088,"score_gpt":0.2814600838197964,"score_spread":0.1628482819218876,"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."}}