{"id":"W2119026022","doi":"10.3390/su7010384","title":"Maize Production Responsiveness to Land Use Change and Climate Trends in Cameroon","year":2014,"lang":"en","type":"article","venue":"Sustainability","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Climate change; Precipitation; Environmental science; Production (economics); Land use; Geography; Land use, land-use change and forestry; Mean radiant temperature; Physical geography; Climatology; Ecology; Meteorology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005029279,0.0002790292,0.0001825235,0.000822424,0.0001913995,0.0006224983,0.000101918,0.0001208672,0.001102794],"category_scores_gemma":[0.0009218201,0.0001125729,0.0002119545,0.001595802,0.0002894767,0.0003806266,0.0002983997,0.0002102482,0.00008121803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000943746,"about_ca_system_score_gemma":0.0004393078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03803192,"about_ca_topic_score_gemma":0.03642529,"domain_scores_codex":[0.9997947,0.0000656151,0.000009863138,0.00004677013,0.00001663893,0.0000663364],"domain_scores_gemma":[0.9995185,0.0001321041,0.000202531,0.00002491402,0.0000700532,0.00005190762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000380959,0.00004167954,0.9664787,0.00008478075,0.0001361786,0.001094848,0.0007601972,0.004864524,0.01047225,0.0006804366,0.0005562769,0.01444926],"study_design_scores_gemma":[0.000002717246,0.00003143104,0.9963384,0.000009255641,0.00001548093,0.00008081122,0.0004916051,0.001957788,0.0003932249,0.00006206035,0.0006115188,0.000005737123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981706,0.0003388554,0.0002105101,0.0001294851,0.000006604337,0.000006302563,0.0006413382,0.000005863563,0.0004903422],"genre_scores_gemma":[0.9993182,0.0002074921,0.0001026126,0.00001372237,0.000003910347,0.000004115951,0.00022731,0.000001720944,0.0001208829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03803192,"threshold_uncertainty_score":0.07562113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0493003850928493,"score_gpt":0.2821108850109126,"score_spread":0.2328104999180634,"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."}}