{"id":"W2953731060","doi":"10.5539/jas.v11n11p1","title":"Identification of Areas Irrigated by Central Pivot in the State of Goiás, Brazil","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrography; State (computer science); Geography; Geographic information system; Irrigation; Thematic map; Structural basin; Irrigated agriculture; Hydrology (agriculture); Agriculture; Water resource management; Cartography; Computer science; Environmental science; Geology; Geomorphology; Algorithm; Ecology; Archaeology","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":[0.0007097193,0.00007990582,0.0001437443,0.00003217404,0.00007045276,0.00002091018,0.0005638291,0.00001590699,0.0000901267],"category_scores_gemma":[0.00002593336,0.00003825066,0.00007412104,0.0008046555,0.0005650411,0.0005382835,0.00008428391,0.0001065041,0.00001567383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008348282,"about_ca_system_score_gemma":0.000006298079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002087435,"about_ca_topic_score_gemma":0.00004199085,"domain_scores_codex":[0.99843,0.00004226018,0.000436225,0.0001239587,0.0007542403,0.0002133478],"domain_scores_gemma":[0.9993045,0.00003184514,0.0004943907,0.00009574198,0.0000204636,0.00005300097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001117637,0.0001159964,0.3459241,0.000004424482,0.00000584537,6.143746e-7,0.00120801,0.002490612,0.64882,0.00000764766,0.0005894732,0.0008220775],"study_design_scores_gemma":[0.0001656834,0.0001087106,0.9607597,0.00001688365,0.000007570978,0.00001398993,0.0008867909,0.00001708749,0.03776879,0.0001111799,0.00008849079,0.00005510905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988351,0.0001251892,0.000004723799,0.0002790657,0.000104424,0.0001137441,0.000005850101,0.000001298375,0.0005305548],"genre_scores_gemma":[0.9997494,0.00009575166,0.00003305439,0.00002901931,0.000005762754,7.195871e-7,6.799739e-7,0.000001139904,0.00008452503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6148356,"threshold_uncertainty_score":0.2081918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003261622799037748,"score_gpt":0.1871978511475431,"score_spread":0.1839362283485053,"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."}}