{"id":"W4405471702","doi":"10.70645/3078-3437.1018","title":"Exploring the Major Watershed Basins All Around the World: A Meta-Analysis for Basins Characteristics","year":2024,"lang":"en","type":"article","venue":"AUIQ technical engineering science.","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Geography; Geology; Hydrology (agriculture); Computer science; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001912256,0.0002248438,0.0003466427,0.0002284405,0.0005347519,0.0002467223,0.0009864918,0.00003053598,0.0002175497],"category_scores_gemma":[0.0001400709,0.0001109545,0.0004679671,0.00227224,0.0007544419,0.0004681288,0.0005172942,0.0002561702,0.0001023224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001348385,"about_ca_system_score_gemma":0.000008781609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002713274,"about_ca_topic_score_gemma":0.000132092,"domain_scores_codex":[0.9981043,0.00002271822,0.0002894542,0.0005515446,0.0004380472,0.0005939721],"domain_scores_gemma":[0.9989443,0.0003839993,0.00003546251,0.0005487028,0.000009980365,0.00007753917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001529203,0.0006996545,0.008355923,0.0004419127,0.1357952,0.0002138652,0.009088795,0.5940698,0.08101314,0.1304232,0.02923765,0.01050792],"study_design_scores_gemma":[0.0002937458,0.0002034839,0.1168339,0.00001914657,0.09176985,0.00002210265,0.0001991169,0.2124069,0.005243266,0.001883451,0.5697964,0.001328666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5780452,0.0007086233,0.2618053,0.1401136,0.003375887,0.004232136,0.0002263464,0.002776423,0.008716394],"genre_scores_gemma":[0.9957201,0.00002024286,0.001751552,0.00063918,0.00007059739,0.0005398563,0.000004577282,0.00001733308,0.001236509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5405588,"threshold_uncertainty_score":0.4524592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07432450872731808,"score_gpt":0.271024070005763,"score_spread":0.1966995612784449,"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."}}