{"id":"W2792906043","doi":"10.5539/eer.v8n1p10","title":"Cost of Energy Input in the Production of Cassava (Manihot Esculenta)","year":2018,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Cassava research and cyanide","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hectare; Production (economics); Manihot esculenta; Fertilizer; Profit (economics); Production cost; Agricultural science; Ogun state; Economic analysis; Total cost; Cost analysis; Unit cost; Mathematics; Business; Environmental science; Agricultural engineering; Agricultural economics; Economics; Agronomy; Agriculture; Geography; Operations research; Biology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001126284,0.00006416831,0.00009900249,0.00003242134,0.0001385973,0.00001377859,0.0002160682,0.0000527784,0.0003702663],"category_scores_gemma":[0.00006236741,0.00002294396,0.00002957489,0.0002733463,0.0005474847,0.00005842457,0.0001396575,0.0001004226,0.000004119672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002554281,"about_ca_system_score_gemma":0.000007487568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003939638,"about_ca_topic_score_gemma":0.006132863,"domain_scores_codex":[0.9984699,0.0003349616,0.0001500198,0.0002128015,0.0005568137,0.0002755321],"domain_scores_gemma":[0.9995912,0.0001999072,0.00003168316,0.00009553173,0.00002922516,0.00005250836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001896348,0.0003914428,0.007903633,0.00001171465,0.00001423582,0.000007623549,0.0003543227,0.00001161156,0.7851709,0.007024691,0.002820388,0.1960998],"study_design_scores_gemma":[0.0002848172,0.002101686,0.2673609,0.00005240858,0.000005483422,0.0000201885,0.002912228,0.0001262112,0.3865692,0.003165173,0.3372166,0.0001851596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995428,0.0002905051,0.000004841689,0.001558027,0.00002304362,0.00008236722,0.000004756916,0.000002522612,0.002605916],"genre_scores_gemma":[0.9967055,0.002050476,0.000008764458,0.00002834146,0.0001659092,0.00002937549,0.00001322899,6.815909e-7,0.0009976919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3986018,"threshold_uncertainty_score":0.5955581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07581675770468399,"score_gpt":0.2907026039672554,"score_spread":0.2148858462625714,"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."}}