{"id":"W6920581276","doi":"10.6084/m9.figshare.13336213.v1","title":"Additional file 1 of Integrating climate in Ugandan health and subsistence food systems: where diverse knowledges meet","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Subsistence agriculture; Food security; Climate change; Public health; Food supply","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001872638,0.0007071256,0.000903926,0.002822484,0.00127981,0.001899924,0.001472182,0.0009634423,0.885114],"category_scores_gemma":[0.03414084,0.0004835957,0.0007376682,0.006543086,0.0003474743,0.002979591,0.001654963,0.001123199,0.1508515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405759,"about_ca_system_score_gemma":0.002779127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02103776,"about_ca_topic_score_gemma":0.03096224,"domain_scores_codex":[0.9991749,0.0002538199,0.0001239275,0.0001508739,0.0001477706,0.0001487294],"domain_scores_gemma":[0.9733433,0.0212251,0.0009176327,0.0008231382,0.003094483,0.0005964246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001104441,0.00003155254,0.001337488,0.002384394,0.00001719804,0.0000391005,0.0001838625,0.0002067014,0.00001991246,0.00109261,0.989016,0.005560743],"study_design_scores_gemma":[0.001893292,0.00009731296,0.02216188,0.005845073,0.000115592,0.0002508981,0.002312306,0.0007821042,0.0002581946,0.01153025,0.9546463,0.0001068389],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0001340921,0.00001917333,0.0001306853,0.0001293989,0.00002029912,0.00006730717,0.9976789,0.00008010559,0.00174002],"genre_scores_gemma":[0.01383579,0.0003317728,0.004293188,0.0007106857,0.00009161682,0.004099795,0.9587656,0.0006211855,0.01725033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.885114,"threshold_uncertainty_score":0.1638709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022202653482635,"score_gpt":0.2856345443137968,"score_spread":0.1834142789655333,"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."}}