{"id":"W2998517716","doi":"10.5296/jas.v8i2.15761","title":"Concordance Modeling With a Gold Standard for Variables From the Three-Parameter Gamma Distribution","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Studies","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Tecnológica Federal do Paraná; Universidade Estadual do Oeste do Paraná; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Statistics; Standard deviation; Gamma distribution; Range (aeronautics); Environmental science; Multivariate statistics; Mathematics; Scale (ratio); Standard error; Distribution (mathematics); Meteorology; Climatology; Geography; Cartography","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":[0.03766394,0.001415142,0.001795021,0.004343613,0.00135835,0.00528164,0.003603274,0.002101233,0.001795254],"category_scores_gemma":[0.09997085,0.0007568075,0.002578354,0.004043746,0.003597867,0.003683668,0.00512458,0.0031274,0.0008769057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002577796,"about_ca_system_score_gemma":0.002392226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007479533,"about_ca_topic_score_gemma":0.004348096,"domain_scores_codex":[0.9665336,0.01454402,0.001970347,0.008345168,0.007567982,0.001038816],"domain_scores_gemma":[0.9272082,0.03803338,0.007857729,0.0162593,0.01006392,0.0005774545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007972732,0.0003063622,0.182508,0.0007955848,0.001245281,0.0009893,0.00492544,0.3197855,0.007721812,0.201174,0.005641371,0.27411],"study_design_scores_gemma":[0.00006337543,0.0002719329,0.04746528,0.0003631018,0.0002662786,0.0004015058,0.0009797351,0.810517,0.009449735,0.1207161,0.009282839,0.0002231366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08674668,0.0003859475,0.9070105,0.0001963911,0.00009780184,0.0002361138,0.0004364764,0.0007303621,0.004159738],"genre_scores_gemma":[0.7726282,0.0002427715,0.2221066,0.0001631962,0.00008654319,0.0007257193,0.001415653,0.0002690978,0.002362218],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03766394,"threshold_uncertainty_score":0.1991883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373446030179345,"score_gpt":0.2400712083316084,"score_spread":0.2063367480298149,"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."}}