{"id":"W2898180861","doi":"10.15809/irriga.2000v5n2p83","title":"MANEJO ECONÔMICO DA IRRIGAÇÃO DE FEIJÃO CAUPI VIA MODELO DE SIMULAÇÃO","year":2000,"lang":"pt","type":"article","venue":"Irriga","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"DSSAT; Mathematics; Horticulture; Crop; Geography; Forestry; 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":[0.0005176678,0.0006419821,0.0006683911,0.000428097,0.0004811491,0.00151619,0.0009315831,0.001286147,0.004706703],"category_scores_gemma":[0.002381878,0.0004572037,0.0010454,0.000628752,0.0004692401,0.0009530722,0.0007102892,0.0008273771,0.0003802173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461442,"about_ca_system_score_gemma":0.001485986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08294746,"about_ca_topic_score_gemma":0.04567453,"domain_scores_codex":[0.999811,0.00007062989,0.000008766562,0.00004306806,0.00003167854,0.00003481995],"domain_scores_gemma":[0.9988756,0.0007894381,0.00009140365,0.00004618583,0.0001552171,0.00004204306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003600541,0.00002343904,0.003439847,0.00003700782,0.00002137954,0.00004206385,0.00003855382,0.9918042,0.0004289185,0.002131697,0.0003132436,0.001683483],"study_design_scores_gemma":[0.00001121861,0.00001767192,0.0009693826,0.000009415747,0.0000142165,0.0000110173,0.00004373243,0.9972255,0.00016306,0.0008833684,0.0006445467,0.000006868384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8322536,0.001168011,0.1107723,0.001413387,0.0001531977,0.0001473632,0.003986383,0.00058706,0.04951868],"genre_scores_gemma":[0.9857683,0.000329983,0.007445695,0.00003699755,0.00001036638,0.00008046602,0.0004979203,0.00005376791,0.005776522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08294746,"threshold_uncertainty_score":0.1649293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00983099073058886,"score_gpt":0.2176480336085977,"score_spread":0.2078170428780089,"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."}}