{"id":"W7029094941","doi":"","title":"Impacts of El Niño-Southern Oscillation on the wheat market: a global dynamic analysis","year":2017,"lang":"en","type":"article","venue":"UnissResearch (Università degli Studi di Sassari)","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Agriculture; Consumption (sociology); El Niño Southern Oscillation; Global climate; Crop; Southern oscillation","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007619739,0.0001764089,0.0002809401,0.0000386284,0.001672698,0.0002742782,0.001000153,0.0001019514,0.0009188985],"category_scores_gemma":[0.0002363873,0.00006289189,0.000248861,0.0005707593,0.0002389812,0.000421761,0.0004305581,0.0002051236,0.0000668188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001672144,"about_ca_system_score_gemma":0.00002916311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007380611,"about_ca_topic_score_gemma":0.0290276,"domain_scores_codex":[0.9984413,0.0002282494,0.0001641996,0.000354244,0.0004179408,0.0003941128],"domain_scores_gemma":[0.9984645,0.0005774745,0.0003279777,0.0002656047,0.0002145247,0.0001499371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008273667,0.0003973356,0.9255934,0.00001969603,0.002529023,0.00004374251,0.000942382,0.0001113121,0.01315873,0.01819739,0.003756265,0.03442334],"study_design_scores_gemma":[0.0002022745,0.0002512697,0.9869405,0.00001426934,0.0001633396,0.000001391401,0.006295249,0.00151646,0.00004104499,0.0006574623,0.00374261,0.0001741397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957246,0.00007077942,0.000006600243,0.01062687,0.00005831179,0.0002613511,0.0002964636,0.00001919025,0.03141446],"genre_scores_gemma":[0.997603,0.0001746131,0.00001107517,0.0000500568,0.00005231748,0.000002203028,0.00003940774,0.000001015809,0.00206629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06134706,"threshold_uncertainty_score":0.9999944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03241697740391831,"score_gpt":0.2833192226942001,"score_spread":0.2509022452902818,"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."}}