{"id":"W2091709113","doi":"10.1002/joc.1520","title":"A modelling investigation into the economic and environmental values of ‘perfect’ climate forecasts for wheat production under contrasting rainfall conditions","year":2007,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Commonwealth Scientific and Industrial Research Organisation; McMaster University","keywords":"Environmental science; Climate change; Yield (engineering); Cropping; Climatology; Hydrology (agriculture); Agronomy; Agriculture; Geography; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001628872,0.0004261368,0.0004263908,0.0004637022,0.0004210197,0.001539578,0.0009755698,0.001414037,0.001506078],"category_scores_gemma":[0.004250597,0.0004214493,0.0009235673,0.0007644664,0.0008612612,0.001355739,0.0005799234,0.00077536,0.00007593727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002875678,"about_ca_system_score_gemma":0.001070873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04687464,"about_ca_topic_score_gemma":0.03931018,"domain_scores_codex":[0.9995008,0.0002431685,0.00002322223,0.00007760458,0.00005778821,0.00009740202],"domain_scores_gemma":[0.9974992,0.001668741,0.00030496,0.0001524434,0.000257787,0.0001168525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009380846,0.00003248148,0.006613948,0.00002040491,0.00002448433,0.00008604032,0.00003467988,0.9891835,0.0006049207,0.001912756,0.0001443944,0.00124849],"study_design_scores_gemma":[0.00002463817,0.0001084316,0.008610087,0.000005622599,0.00001706732,0.00001833524,0.00009101152,0.9893466,0.0002650751,0.001134199,0.0003615443,0.00001737399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879557,0.00005289865,0.004374408,0.0003074021,0.00001505957,0.00003117169,0.0003849018,0.00003328065,0.006844987],"genre_scores_gemma":[0.998718,0.00002410337,0.0007923469,0.00001055241,0.000003108786,0.00000911473,0.0000670129,0.000004252493,0.0003715446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04687464,"threshold_uncertainty_score":0.0932036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567702090232626,"score_gpt":0.2769919271202761,"score_spread":0.2413149062179499,"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."}}