{"id":"W4285329858","doi":"10.56160/jaeess202172020","title":"Climate Change Anomalies and Beans Production in Nigeria","year":2021,"lang":"en","type":"article","venue":"JOURNAL OF AGRICULTURAL ECONOMICS ENVIRONMENT AND SOCIAL SCIENCES","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hectare; Net profit; Climate change; Revenue; Agricultural economics; Environmental science; Yield (engineering); Production (economics); Unit (ring theory); Profit (economics); Agricultural science; Geography; Economics; Mathematics; Agriculture; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002411918,0.0001667504,0.0001554748,0.0002877366,0.0001707822,0.0005515424,0.0001026322,0.0001768549,0.0008041894],"category_scores_gemma":[0.0005579763,0.0001103031,0.000215152,0.0005020924,0.0001561714,0.0003014849,0.0002628721,0.0002313158,0.00008238686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006210604,"about_ca_system_score_gemma":0.0002748084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417361,"about_ca_topic_score_gemma":0.02225659,"domain_scores_codex":[0.9998919,0.00003401331,0.000008431595,0.00002007581,0.0000202691,0.00002528737],"domain_scores_gemma":[0.9997783,0.00006629857,0.00007502052,0.00001193491,0.00004290845,0.00002555479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002101264,0.00006650809,0.9670414,0.0001136234,0.0000951484,0.0008944718,0.0004318086,0.01360156,0.004313481,0.00106832,0.0004274361,0.0117361],"study_design_scores_gemma":[0.000004634549,0.00008813658,0.9839093,0.0000342555,0.00003333221,0.0002473384,0.001102949,0.01144466,0.0007662768,0.0004723092,0.00188398,0.00001277581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974892,0.0004556721,0.0002413071,0.0001210198,0.00001099877,0.000004428178,0.0003160716,0.000007768596,0.001353648],"genre_scores_gemma":[0.9992124,0.000274239,0.0001241345,0.000008684572,0.000003394845,0.000001737148,0.0001489488,0.0000020271,0.0002242763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01417361,"threshold_uncertainty_score":0.02818221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04147747859361377,"score_gpt":0.2216664696843605,"score_spread":0.1801889910907467,"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."}}