{"id":"W4294243037","doi":"10.1021/acs.est.2c02023","title":"How Modelers Model: the Overlooked Social and Human Dimensions in Model Intercomparison Studies","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; International Development Research Centre","funders":"Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Department of Environment and Science, Queensland Government; Agriculture and Agri-Food Canada; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Université de Reims Champagne-Ardenne; VetAgro Sup; Università degli Studi di Sassari; U.S. Department of Agriculture; AgroParisTech; Queensland University of Technology; Commonwealth Scientific and Industrial Research Organisation; AgResearch; University of Aberdeen; Indian Agricultural Research Institute; University of Tasmania; Colorado State University; Agricultural Research Service; Université Paris-Saclay; Agence Nationale de la Recherche; Indian Council of Agricultural Research","keywords":"Calibration; Context (archaeology); Computer science; Variable (mathematics); Weighting; Process (computing); Realization (probability); Primary production; Variables; Simulation modeling; Econometrics; Statistics; Ecosystem; Machine learning; Ecology; Mathematics; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.130393,0.00125247,0.001073709,0.002378926,0.004194541,0.01038667,0.003626681,0.002614003,0.001275137],"category_scores_gemma":[0.2638677,0.0008035861,0.001228128,0.001513026,0.01147403,0.01251951,0.006220249,0.004758789,0.0002580369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004268909,"about_ca_system_score_gemma":0.00558366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008488835,"about_ca_topic_score_gemma":0.01137446,"domain_scores_codex":[0.8868408,0.0950594,0.002143401,0.006116029,0.008010769,0.001829705],"domain_scores_gemma":[0.7737888,0.1731407,0.01463584,0.0242715,0.01089577,0.003267438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007560172,0.0007291872,0.2553185,0.001572287,0.003094621,0.001277681,0.2515665,0.09482819,0.009324103,0.1047024,0.008892252,0.2679383],"study_design_scores_gemma":[0.0002339979,0.0007579139,0.09910101,0.001978994,0.0007240008,0.000527968,0.129615,0.2517049,0.008082318,0.4569957,0.04940484,0.0008733849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6903759,0.001516094,0.2686894,0.02336732,0.0004457367,0.0004401504,0.0001575779,0.0004415087,0.01456636],"genre_scores_gemma":[0.945838,0.0003185935,0.05170837,0.001253156,0.00009714958,0.0002159977,0.00005579948,0.0001426649,0.0003701812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9958054,"threshold_uncertainty_score":0.6895922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06128685222808588,"score_gpt":0.2761861927425377,"score_spread":0.2148993405144518,"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."}}