{"id":"W2344165886","doi":"10.1038/nclimate3007","title":"Gaps in agricultural climate adaptation research","year":2016,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Agriculture; Adaptation (eye); Climate change adaptation; Climate change; Value (mathematics); Environmental resource management; Climate science; Political science; Regional science; Environmental planning; Natural resource economics; Geography; Environmental science; Economics; Ecology; Psychology; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04216589,0.001074389,0.003437188,0.009767747,0.002918377,0.01175126,0.004023346,0.005029685,0.02344297],"category_scores_gemma":[0.07245721,0.000861684,0.001063596,0.02184351,0.008165848,0.01633051,0.009659364,0.005032015,0.002951176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005581748,"about_ca_system_score_gemma":0.03582202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0182455,"about_ca_topic_score_gemma":0.03253949,"domain_scores_codex":[0.9859421,0.005629409,0.002390136,0.002862591,0.001636336,0.001539431],"domain_scores_gemma":[0.7969207,0.1651974,0.00985839,0.004977185,0.01707854,0.005967902],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000757664,0.001157216,0.04332938,0.05189272,0.0009856723,0.0003019194,0.009200716,0.003295282,0.001233782,0.07406932,0.06705681,0.7467195],"study_design_scores_gemma":[0.000156387,0.0002887094,0.05875223,0.06269921,0.001162359,0.0004742961,0.05402277,0.003472214,0.000851964,0.1979657,0.6199901,0.0001641898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02977262,0.6889422,0.00401425,0.243859,0.003549574,0.00008269773,0.002454569,0.0001652815,0.02715976],"genre_scores_gemma":[0.3264375,0.6039876,0.009334543,0.04506769,0.008940392,0.0003166316,0.003690739,0.00008508065,0.002139837],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9578341,"threshold_uncertainty_score":0.2229972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358682279761447,"score_gpt":0.3442601080889588,"score_spread":0.2083918801128142,"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."}}