{"id":"W2099396671","doi":"10.5751/es-02476-130138","title":"Regional Farm Diversity Can Reduce Vulnerability of Food Production to Climate Change","year":2008,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Planbureau voor de Leefomgeving; Joint Research Centre; European Commission","keywords":"Climate change; Vulnerability (computing); Mediterranean climate; Crop diversity; Diversity (politics); Agriculture; Productivity; Geography; Agricultural productivity; Production (economics); Environmental resource management; Environmental science; Agroforestry; Natural resource economics; Ecology; Biology; Economics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002100011,0.00009018076,0.0001551054,0.000003698956,0.0006539595,0.000003830931,0.00009153936,0.0001404777,0.00005638094],"category_scores_gemma":[0.00004487669,0.00003712711,0.00007967114,0.000182231,0.0001621274,0.00005540817,0.0002011432,0.0001085211,0.000002374818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004356617,"about_ca_system_score_gemma":0.000004175478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001765057,"about_ca_topic_score_gemma":0.003016881,"domain_scores_codex":[0.9992684,0.00005436264,0.0001048623,0.000254222,0.00009408759,0.0002241167],"domain_scores_gemma":[0.9996558,0.00006080344,0.00006511803,0.000040031,0.00008290532,0.00009531569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009517073,0.0004877983,0.8421869,0.00005398793,0.00006045413,0.000003082388,0.02418106,0.000002014921,0.1108775,0.0002779885,0.01415621,0.007617748],"study_design_scores_gemma":[0.00008081397,0.0003614027,0.9957715,0.000004952928,0.000008187945,0.00002280868,0.00149281,0.000001202315,0.001262054,0.00009511219,0.0008098405,0.00008927949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895667,0.00005174403,4.469993e-8,0.009764231,0.0001408181,0.0002688719,0.00009441945,0.00003207365,0.00008106926],"genre_scores_gemma":[0.9978907,0.0005811192,0.00004456024,0.001103792,0.0002681482,0.00001556167,0.00003519573,4.120039e-7,0.00006057226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1535846,"threshold_uncertainty_score":0.5029794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09309717033353576,"score_gpt":0.2573454541828258,"score_spread":0.1642482838492901,"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."}}