{"id":"W4402773555","doi":"10.2139/ssrn.4965948","title":"Scenario Analysis Using Community Insights for Improving Local Food System Planning: Application of a Climate-Biodiversity-Health Framework","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Roads University","funders":"","keywords":"Biodiversity; Environmental resource management; Environmental planning; Food systems; Business; Climate system; Climate change; Environmental science; Geography; Food security; Ecology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.003372089,0.000810894,0.0006927149,0.001875069,0.0007116392,0.001559193,0.001182211,0.00120351,0.009983175],"category_scores_gemma":[0.008197659,0.0002838923,0.001139933,0.002503878,0.0005959262,0.0025611,0.002181675,0.00119241,0.0001722778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002279758,"about_ca_system_score_gemma":0.002062725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01473752,"about_ca_topic_score_gemma":0.02231221,"domain_scores_codex":[0.9986643,0.000997498,0.00003278185,0.0000918473,0.0001158743,0.00009786208],"domain_scores_gemma":[0.9968725,0.002486818,0.0001465077,0.0001487368,0.0002053515,0.0001401676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004738973,0.00008479807,0.002566527,0.00009534767,0.0001235007,0.0001896294,0.0001995148,0.8950188,0.0002469423,0.08640038,0.001330814,0.01369643],"study_design_scores_gemma":[0.00002468673,0.00003538009,0.0008343116,0.00002922834,0.00004288956,0.00003699922,0.0004162529,0.8435754,0.00015778,0.1532386,0.001590923,0.00001754379],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2793673,0.0006043374,0.6678982,0.003810658,0.0001039611,0.0003676259,0.00313922,0.0004187872,0.0442899],"genre_scores_gemma":[0.9157157,0.0002617185,0.08193075,0.00007772599,0.00002253481,0.0001903168,0.0005558271,0.00005331113,0.001192154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01473752,"threshold_uncertainty_score":0.03339708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299132266295017,"score_gpt":0.2608060120397096,"score_spread":0.2478146893767594,"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."}}