{"id":"W3164040196","doi":"10.1186/s40066-020-00275-5","title":"Agricultural community-based impact assessment and farmers’ perception of climate change in selected Ecological Zones in Nigeria","year":2021,"lang":"en","type":"article","venue":"Agriculture & Food Security","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; Global Affairs Canada; International Development Research Centre; Government of Canada","keywords":"Climate change; Livelihood; Agriculture; Cropping; Geography; Sustenance; Socioeconomics; Environmental science; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005459549,0.0004695523,0.0007234873,0.00004756826,0.0002429267,0.0001170429,0.0002922706,0.0005086201,0.0002844144],"category_scores_gemma":[0.00007841968,0.0001675917,0.0001985724,0.002108962,0.00009211674,0.0003540787,0.0002251584,0.0009886362,0.000004095644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122579,"about_ca_system_score_gemma":0.00002537207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114162,"about_ca_topic_score_gemma":0.07659718,"domain_scores_codex":[0.9967129,0.001057184,0.0005885241,0.0005149873,0.0003732606,0.0007531351],"domain_scores_gemma":[0.9986575,0.0003579367,0.0002700813,0.0001217582,0.000369159,0.0002235795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001048009,0.002788385,0.5873598,0.000152567,0.00004793928,0.00004367961,0.006230428,0.00001158048,0.400201,0.0001444986,0.0002169067,0.002698475],"study_design_scores_gemma":[0.000732008,0.001306987,0.9818228,0.0001534754,0.00002548647,0.00005501923,0.01432337,0.00002068129,0.0009092726,0.0001390551,0.00008501714,0.0004267772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963592,0.0003187188,1.771187e-7,0.001702221,0.00008873285,0.0007233889,0.0004544237,0.00008498441,0.0002680993],"genre_scores_gemma":[0.9965528,0.0006340295,0.00009591354,0.0003262921,0.000149284,0.000101486,0.002134589,0.000002634746,0.000002961098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3992917,"threshold_uncertainty_score":0.9402525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03744352347965716,"score_gpt":0.2985493304483493,"score_spread":0.2611058069686921,"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."}}