{"id":"W2286394820","doi":"10.5539/jas.v8n2p84","title":"Influence of Socio-Economic Conditions of Farmers on the Control of Insect Pests of Citrus in Benue State, Nigeria","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Insect behavior and control techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Agricultural science; Toxicology; Logistic regression; Citrus fruit; Production (economics); Biotechnology; Biology; Economics; Mathematics; Horticulture; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002934702,0.0001039224,0.00009660657,0.0002852015,0.0006041802,0.0003805604,0.0001089091,0.0001642014,0.001767264],"category_scores_gemma":[0.0008436731,0.0001144176,0.000077859,0.0002200583,0.0004483643,0.0002297307,0.0002910197,0.0001924222,0.0001190456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004633276,"about_ca_system_score_gemma":0.0004572218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01749496,"about_ca_topic_score_gemma":0.04846953,"domain_scores_codex":[0.9998252,0.00006331596,0.00001578917,0.00001893223,0.0000271724,0.00004966098],"domain_scores_gemma":[0.9993778,0.0001633785,0.0002126947,0.00001188965,0.00006093293,0.000173332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003844095,0.0001062711,0.9944891,0.00001907919,0.000008134756,0.0004008388,0.002137792,0.00004344906,0.0004516479,0.00006090586,0.00007261542,0.002171654],"study_design_scores_gemma":[0.000001660491,0.00007766365,0.9903737,0.0000138722,0.0000039183,0.0001452587,0.008992261,0.0000864626,0.0000533914,0.00002164955,0.0002271249,0.000002968771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995549,0.00004331344,0.000005595906,0.00003577091,0.000001365508,0.000002196047,0.00001347329,1.636367e-7,0.0003432104],"genre_scores_gemma":[0.9997528,0.0000665316,0.0000130127,0.000008183609,0.000001166472,0.000001972763,0.000009457594,1.183654e-7,0.0001466859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01749496,"threshold_uncertainty_score":0.03478628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140343897467778,"score_gpt":0.2311787520931223,"score_spread":0.2197753131184445,"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."}}