{"id":"W4392755625","doi":"10.33423/jabe.v26i1.6865","title":"Environmental Risks and Agricultural Commodities","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Volatility (finance); Natural disaster; Agriculture; Economics; Commodity; Natural resource economics; Agricultural economics; Agricultural productivity; Natural resource; Monetary economics; Business; Financial economics; Market economy; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000264478,0.0001894316,0.0001829687,0.0007893569,0.0002717089,0.00109305,0.0001666739,0.0003197765,0.003882829],"category_scores_gemma":[0.002900739,0.0001006295,0.0003044336,0.001880391,0.0005111882,0.0007253579,0.000659758,0.0007205771,0.0003436795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005195539,"about_ca_system_score_gemma":0.0004653878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009408465,"about_ca_topic_score_gemma":0.008251829,"domain_scores_codex":[0.9997662,0.00004290163,0.00001593129,0.00004478049,0.00008023514,0.00004993234],"domain_scores_gemma":[0.998117,0.0006149632,0.0009206986,0.00007709164,0.0001431062,0.0001271916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001478864,0.0001055098,0.9083861,0.0002003744,0.0002767617,0.0009128183,0.0004378232,0.03330445,0.001108657,0.02258146,0.006420972,0.02611721],"study_design_scores_gemma":[0.00001482008,0.0001084013,0.9246028,0.00008748178,0.00005715259,0.0003763131,0.001839065,0.01040324,0.0009105294,0.02958425,0.0319793,0.00003665637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691604,0.002419967,0.002052389,0.002265396,0.00006111869,0.00002888414,0.004859521,0.00003340211,0.01911893],"genre_scores_gemma":[0.9955355,0.001031438,0.0002498495,0.00009233003,0.00003848474,0.00000821207,0.001565304,0.000005761384,0.001473133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009408465,"threshold_uncertainty_score":0.01870739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0365990870349933,"score_gpt":0.215772646982782,"score_spread":0.1791735599477887,"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."}}