{"id":"W2978449927","doi":"10.5539/enrr.v9n3p117","title":"Classification and Regression Tree to Predict the Precipitation Labels of North-West Region in Bangladesh","year":2019,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cart; Precipitation; Regression; Agriculture; North west; Regression analysis; Geography; Environmental science; Statistics; Physical geography; Mathematics; Meteorology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006251328,0.0004640686,0.000326683,0.001057324,0.0002961352,0.0004980666,0.0004928269,0.0002986117,0.002774235],"category_scores_gemma":[0.002397116,0.0001465774,0.0003929557,0.001614366,0.00009345858,0.0004964914,0.0003107894,0.0006848678,0.001257836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007165424,"about_ca_system_score_gemma":0.0006207204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06006017,"about_ca_topic_score_gemma":0.05041633,"domain_scores_codex":[0.9997237,0.0001191321,0.00002208034,0.00004764329,0.00004286562,0.00004455385],"domain_scores_gemma":[0.9990981,0.0004854333,0.00006974096,0.00004963196,0.0002438967,0.00005318297],"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":[0.0006427818,0.0003222396,0.1508938,0.0001380273,0.0002695349,0.0004808221,0.0003078613,0.5533039,0.003630569,0.002167688,0.02014249,0.2677003],"study_design_scores_gemma":[0.00001933364,0.00004065483,0.02546195,0.0000126792,0.00002167765,0.00002912163,0.0002000288,0.9712381,0.0005356123,0.000870948,0.001554151,0.0000156391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259724,0.0004711844,0.05275967,0.001126718,0.0001251997,0.00009985085,0.006962282,0.0008372513,0.01164547],"genre_scores_gemma":[0.9775726,0.0001734123,0.0150685,0.00004162833,0.00001673923,0.00004120927,0.004206099,0.00003034848,0.002849549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06006017,"threshold_uncertainty_score":0.1194212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03918207360926219,"score_gpt":0.2897086108606373,"score_spread":0.2505265372513751,"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."}}