{"id":"W7120389543","doi":"","title":"ENVIRONMENTAL IMPACT ASSESSMENT CAUSED BY THE SOYBEAN SYSTEM PRODUCTION IN THE WEST OF PARANÁ","year":2015,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental impact assessment; Yield (engineering); Agricultural productivity; Production (economics); Crop production; Production system (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001688705,0.0001678941,0.0001364069,0.0003503872,0.0002948871,0.0004081602,0.0001471913,0.0002145773,0.0009728288],"category_scores_gemma":[0.0002773598,0.0001348542,0.000305431,0.0007729443,0.0003115563,0.0001754434,0.000544489,0.0001616922,0.0001017063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263354,"about_ca_system_score_gemma":0.0009487944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1312868,"about_ca_topic_score_gemma":0.220775,"domain_scores_codex":[0.9998593,0.00003390714,0.000009323636,0.00002061125,0.00004903327,0.00002782006],"domain_scores_gemma":[0.999877,0.00002298887,0.00003503226,0.00001271516,0.0000368386,0.00001543865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003581024,0.0001011528,0.9091941,0.0002566932,0.0001868233,0.003368342,0.001815832,0.02297704,0.03468857,0.001075011,0.001038418,0.02493988],"study_design_scores_gemma":[0.00000889793,0.00006796787,0.987615,0.00001479184,0.00003750315,0.0002473509,0.002483713,0.005964785,0.001275637,0.0002019605,0.002071062,0.00001144083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967548,0.00004375137,0.0002682293,0.00009191523,0.000002301775,0.00001624277,0.0006286606,0.00001290634,0.002181221],"genre_scores_gemma":[0.998628,0.00009828418,0.0003195633,0.00001274701,7.085972e-7,0.00001290968,0.0002604273,0.000003267343,0.0006639932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1312868,"threshold_uncertainty_score":0.2610453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405764303487156,"score_gpt":0.2525342854962902,"score_spread":0.2384766424614186,"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."}}