{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007669737,0.0002324018,0.0003284263,0.00001884714,0.0001687974,0.00009813103,0.0001677422,0.0001690491,0.0001744685],"category_scores_gemma":[0.001459823,0.0001000436,0.00008061423,0.0009065016,0.00008572594,0.0001716228,0.0004038492,0.0002708472,0.000005499558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004588362,"about_ca_system_score_gemma":0.000027553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00123855,"about_ca_topic_score_gemma":0.04494575,"domain_scores_codex":[0.9977668,0.0003296754,0.0002966423,0.000715589,0.0001767129,0.0007145826],"domain_scores_gemma":[0.9987385,0.000235884,0.00005888457,0.0001600257,0.0004923684,0.0003143545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001067287,0.000612898,0.7811202,0.0002624294,0.000006564721,0.00005421036,0.003383746,0.000001095346,0.008591831,0.0006880953,0.00006641155,0.2051058],"study_design_scores_gemma":[0.0001844021,0.0003252818,0.9840972,0.0000227241,0.000006232996,0.000009669438,0.008480062,0.000004804301,0.0008662502,0.003240043,0.002503372,0.0002599394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796268,0.0003263598,3.837715e-7,0.01862864,0.00007820432,0.0009068685,0.0001891589,0.00007586763,0.0001677561],"genre_scores_gemma":[0.9985843,0.00009359797,0.00003724745,0.0009392595,0.0001321918,0.0001309637,0.00006220254,0.000001457647,0.0000187801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2048459,"threshold_uncertainty_score":0.9724815,"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."}}