{"id":"W4307701375","doi":"10.3390/su142113954","title":"Climate Change, Food Security, and Health: Harnessing Agroecology to Build Climate-Resilient Communities","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Agroecology; Food security; Climate change; Sustainability; Transformative learning; Food systems; Sustainable agriculture; Environmental planning; Environmental resource management; Political science; Business; Natural resource economics; Agriculture; Geography; Environmental science; Ecology; Sociology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001950033,0.000311681,0.0003874805,0.00006965603,0.002244325,0.00007074734,0.0004248277,0.00007595147,0.001508287],"category_scores_gemma":[0.00007999131,0.0002924025,0.00009496648,0.0004336908,0.0005700654,0.0003880334,0.004455125,0.0005045219,0.00002252072],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005499062,"about_ca_system_score_gemma":0.00004622019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004047217,"about_ca_topic_score_gemma":0.00361739,"domain_scores_codex":[0.9965727,0.0007269032,0.0004260484,0.0005730735,0.0004406351,0.00126058],"domain_scores_gemma":[0.998704,0.0001038192,0.0001442646,0.0006109346,0.00002510627,0.0004118695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002068038,0.001002611,0.9275156,0.0004812623,0.00001376505,0.00001943894,0.04405714,0.00244011,0.0000200995,0.002002838,0.001596341,0.02064403],"study_design_scores_gemma":[0.0004356197,0.002202443,0.8680974,0.000009762971,0.00001525438,0.00004670449,0.1028213,0.000137558,0.00002625426,0.01281197,0.01294145,0.000454228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802521,0.0001898938,0.0000149819,0.01678268,0.0001334606,0.001845518,0.0001066812,0.0001055642,0.0005690516],"genre_scores_gemma":[0.9960189,0.0000701703,0.0001089906,0.003073823,0.00003694139,0.0005884724,0.00003959979,0.0000228202,0.00004022932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05941813,"threshold_uncertainty_score":0.9999528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826376200259851,"score_gpt":0.2786615236713012,"score_spread":0.2603977616687027,"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."}}