{"id":"W4205520184","doi":"10.5539/jas.v14n2p144","title":"The Economic Impact of Climate Change on the Agricultural System in Fiji","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Island Studies and Pacific Affairs","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Agriculture; Livelihood; Geography; Livestock; Flooding (psychology); Natural resource economics; Agricultural economics; Ecology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003458866,0.0003424007,0.0002334254,0.0007555762,0.0008681059,0.001459952,0.0002906024,0.0003786832,0.003067216],"category_scores_gemma":[0.0003914021,0.00009481982,0.0002623569,0.001728922,0.0005721243,0.001107071,0.0007129021,0.0007593861,0.0001941028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192521,"about_ca_system_score_gemma":0.00233137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221019,"about_ca_topic_score_gemma":0.04197345,"domain_scores_codex":[0.9998498,0.00003552448,0.000009981837,0.00001440318,0.0000352751,0.00005499495],"domain_scores_gemma":[0.9998708,0.00003963696,0.00003126921,0.000002797499,0.00003457399,0.00002096286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001015802,0.00007948113,0.02401626,0.02280827,0.0004078856,0.003299203,0.0079113,0.002345767,0.005641849,0.04072612,0.07979258,0.8128696],"study_design_scores_gemma":[0.000006696931,0.00009174231,0.1341969,0.005035404,0.0001835943,0.001177967,0.004906706,0.0003150156,0.0005735355,0.004802337,0.8486592,0.00005090116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05002287,0.8780977,0.0007617102,0.02412148,0.001145862,0.00003316458,0.0008312879,0.00002850591,0.0449575],"genre_scores_gemma":[0.1815728,0.8107662,0.000858909,0.00269425,0.0003897854,0.0000300162,0.0003280031,0.000006100493,0.003354072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02221019,"threshold_uncertainty_score":0.0441618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136330033750043,"score_gpt":0.2736791663601215,"score_spread":0.2523158660226211,"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."}}