{"id":"W2625345799","doi":"","title":"High Resolution Modelling of Crop Response to Climate Change","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Climate change; Environmental science; Crop; Remote sensing; Climatology; Geography; Geology; Forestry; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004886723,0.0004111841,0.0006218671,0.0002909753,0.00044229,0.001266914,0.001246648,0.00170135,0.002757788],"category_scores_gemma":[0.001895569,0.0005162312,0.0004805097,0.0007464979,0.0005143054,0.00124444,0.000731149,0.001289659,0.0004294688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159934,"about_ca_system_score_gemma":0.0008167579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02285326,"about_ca_topic_score_gemma":0.0136424,"domain_scores_codex":[0.9998529,0.00004255226,0.000008653363,0.00003639437,0.00003068018,0.00002884218],"domain_scores_gemma":[0.9994721,0.0002958743,0.000043549,0.00007287683,0.0000664468,0.00004910477],"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":[0.00005702271,0.00004127507,0.001078474,0.00001756583,0.00002939973,0.00002713893,0.00001584519,0.9939771,0.00164762,0.000832276,0.0004293425,0.001846957],"study_design_scores_gemma":[0.00002038295,0.000007017616,0.001064127,0.000001280278,0.000003755252,0.000003345815,0.000006629802,0.997893,0.0002120919,0.0005524848,0.0002299968,0.000006000235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409614,0.0007979649,0.03283402,0.001855916,0.0002185771,0.00004794424,0.002955317,0.001121546,0.01920717],"genre_scores_gemma":[0.9894768,0.0001864814,0.007503545,0.00008502354,0.0000458931,0.00003897401,0.000722388,0.0001127858,0.001828195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02285326,"threshold_uncertainty_score":0.0454405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457377631710474,"score_gpt":0.2148601196356669,"score_spread":0.1902863433185622,"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."}}