{"id":"W3128506985","doi":"10.3390/su13031523","title":"Climate Change and Small Farmers’ Vulnerability to Food Insecurity in Cameroon","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Queen Elizabeth Scholars","keywords":"Food security; Vulnerability (computing); Agriculture; Climate change; Productivity; Adaptive capacity; Agricultural productivity; Geography; Poverty; Population; Business; Natural resource economics; Agricultural economics; Economic growth; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008037542,0.0003247726,0.0002029604,0.0007020476,0.003318538,0.001200197,0.0002966554,0.0004572214,0.002395335],"category_scores_gemma":[0.001474944,0.0002206676,0.0001742319,0.0009110377,0.002175129,0.00124404,0.001463322,0.0005601841,0.0000854716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807368,"about_ca_system_score_gemma":0.001185963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04314824,"about_ca_topic_score_gemma":0.07950461,"domain_scores_codex":[0.9995916,0.0001828319,0.00001051827,0.0000279102,0.00002347669,0.000163624],"domain_scores_gemma":[0.9993626,0.0002541753,0.000193829,0.00001554585,0.00004920144,0.0001246517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000231366,0.0002105165,0.6180579,0.0002813692,0.00005994176,0.01385102,0.3375127,0.0006353279,0.004195435,0.00300734,0.001068545,0.02088865],"study_design_scores_gemma":[0.000008572871,0.0001654491,0.462834,0.0002256066,0.00002839891,0.001381063,0.5294335,0.0005102803,0.0003572088,0.0008182124,0.004204628,0.00003310087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988436,0.0001858615,0.00003444866,0.0002937326,0.000003562282,0.000008782611,0.00001305181,4.450774e-7,0.000616535],"genre_scores_gemma":[0.99964,0.0002013979,0.00002023257,0.00003151791,0.00000103119,0.000004979326,0.000003832438,2.675273e-7,0.00009661225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04314824,"threshold_uncertainty_score":0.08579421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06707937172564588,"score_gpt":0.2699678647019143,"score_spread":0.2028884929762684,"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."}}