{"id":"W2966027828","doi":"10.5539/jas.v11n14p65","title":"Mapping of Central Pivot Irrigation in the Hydrographic Basin of the Goiano Tributaries of the Araguaia River","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tributary; Geography; Irrigation; Drainage basin; Watershed; Structural basin; Hydrology (agriculture); Geology; Cartography; Geomorphology; Ecology","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":[0.0007222103,0.00009133018,0.0001706892,0.00003348564,0.0001720126,0.00001344869,0.0009264086,0.00002670885,0.00005142277],"category_scores_gemma":[0.00004543528,0.00003209271,0.0002062577,0.001532369,0.001810274,0.0003693573,0.0002108458,0.0001638091,0.000001889015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006618521,"about_ca_system_score_gemma":0.00001154406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003905036,"about_ca_topic_score_gemma":0.0001215591,"domain_scores_codex":[0.9982949,0.00009472379,0.0003879913,0.0001098047,0.0008977331,0.0002148723],"domain_scores_gemma":[0.9991458,0.0000584296,0.0005934653,0.000151889,0.00002081622,0.00002960901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007180984,0.0000674809,0.9006343,0.000006758979,0.000007913323,1.97084e-7,0.003599275,0.002909506,0.09231029,0.0000719713,0.00006289539,0.0003221945],"study_design_scores_gemma":[0.0001723704,0.00006998826,0.9833468,0.00006763727,0.0000117669,0.00001830519,0.003074299,0.00001535843,0.0127236,0.0003363557,0.0001147068,0.00004876056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979202,0.0000863071,0.000002073833,0.0009072613,0.0001832083,0.0001810991,0.000003856785,7.638669e-7,0.0007152078],"genre_scores_gemma":[0.9997907,0.0000339188,0.0000936114,0.00004604821,0.00001118766,7.983263e-7,1.435791e-7,0.00000103108,0.0000226069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08271251,"threshold_uncertainty_score":0.6670032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004595354413717478,"score_gpt":0.1645046115839872,"score_spread":0.1599092571702697,"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."}}