{"id":"W2890642374","doi":"","title":"From Drought to Deluge: How do we Cope with these Extremes?","year":2011,"lang":"en","type":"article","venue":"","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Geography","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":[0.002654156,0.0005464811,0.0008033985,0.0008200348,0.001728533,0.005419405,0.0009978485,0.003683614,0.006974392],"category_scores_gemma":[0.009208461,0.0002683477,0.0004633651,0.0007089954,0.004720159,0.008467957,0.003962882,0.004261611,0.000906317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089452,"about_ca_system_score_gemma":0.002307063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003400445,"about_ca_topic_score_gemma":0.006526542,"domain_scores_codex":[0.9990649,0.0002922192,0.0000354224,0.0001507059,0.0001088748,0.0003480497],"domain_scores_gemma":[0.9970556,0.0005585128,0.000736642,0.0001728199,0.0003150118,0.001161395],"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":[0.0006789066,0.0005381976,0.196347,0.001028819,0.00112928,0.002191543,0.02571303,0.01644825,0.006084371,0.2480842,0.1293606,0.3723959],"study_design_scores_gemma":[0.00004683842,0.0003191913,0.1131429,0.0008124858,0.0001394337,0.0009202215,0.03484458,0.003617947,0.0005331024,0.7259669,0.1193472,0.0003092572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2747053,0.03927802,0.02147146,0.5940347,0.005168953,0.00008122742,0.001053235,0.0003832154,0.06382389],"genre_scores_gemma":[0.9668558,0.01091454,0.00193975,0.01673046,0.001334767,0.00004343487,0.0001347511,0.00006196958,0.001984519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006974392,"threshold_uncertainty_score":0.0233317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116411218040563,"score_gpt":0.1954529148064229,"score_spread":0.1642888026260172,"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."}}