{"id":"W1990365663","doi":"10.1155/2012/756242","title":"Understanding Crop Response to Climate Variability with Complex Agroecosystem Models","year":2012,"lang":"en","type":"article","venue":"International Journal of Ecology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Australian Government; University of Lethbridge; University of Montana; National Center for Atmospheric Research; National Science Foundation","keywords":"Agroecosystem; Environmental science; Climate change; Forcing (mathematics); Sensitivity (control systems); Climate sensitivity; Agricultural productivity; Productivity; Climatology; Climate model; Ecology; Agriculture; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001224107,0.00006960858,0.0001218663,0.00008560207,0.00004800776,0.00002314644,0.0002465849,0.00004170536,0.0004931469],"category_scores_gemma":[0.00004311122,0.00005308832,0.00003841142,0.00006605208,0.00004422168,0.0004089983,0.0001081539,0.0001009573,0.00006054811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008326935,"about_ca_system_score_gemma":0.00001637294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001040881,"about_ca_topic_score_gemma":0.0000881398,"domain_scores_codex":[0.9990211,0.0001565322,0.0002787457,0.0000808289,0.0002655618,0.0001972253],"domain_scores_gemma":[0.9994087,0.0001790778,0.0001815656,0.00007251139,0.00003707785,0.0001210899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002326201,0.0002666232,0.600645,0.000003254064,0.0001465031,0.00008897184,0.00103386,0.3760878,0.006050236,0.01263121,0.0005611627,0.0001591613],"study_design_scores_gemma":[0.002150632,0.0008360029,0.8380723,0.00005955736,0.00007490013,0.003627672,0.0002930377,0.1338598,0.0001318663,0.01324466,0.007221534,0.0004280873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360332,0.000001541364,0.05785432,0.001032743,0.000460347,0.00006474048,0.00002022015,0.000005863227,0.004527055],"genre_scores_gemma":[0.9965836,0.00000370326,0.003058025,0.0002400756,0.00006049951,0.00000183031,0.000002832604,0.000005888907,0.0000434925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.242228,"threshold_uncertainty_score":0.5399613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05359501448844536,"score_gpt":0.2650856134654648,"score_spread":0.2114905989770194,"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."}}