{"id":"W3002328973","doi":"10.5539/jgg.v11n4p38","title":"Modelling the Soil Loss in the Watershed of the Chaddad Wadi in Terms of Both Rockiness and Soil Slaking Indexes","year":2020,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wadi; Watershed; Soil loss; Environmental science; Hydrology (agriculture); Soil science; Water resource management; Geography; Geology; Geotechnical engineering; Geomorphology; Computer science; Archaeology; Erosion","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":[0.000378607,0.000481858,0.0004698009,0.0006086369,0.0005336913,0.002377634,0.001076993,0.001185901,0.002227646],"category_scores_gemma":[0.001515384,0.0004478526,0.0006499754,0.001191933,0.0004749452,0.001115758,0.0006554624,0.0008250224,0.0003812209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582626,"about_ca_system_score_gemma":0.001641429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1529818,"about_ca_topic_score_gemma":0.1596932,"domain_scores_codex":[0.9998543,0.00002898851,0.00001079106,0.00003463956,0.0000288918,0.00004227782],"domain_scores_gemma":[0.9996501,0.0001409352,0.00004239838,0.00002638739,0.00008573763,0.00005440671],"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":[0.0002677034,0.0001743673,0.06561147,0.00007520994,0.00008428844,0.0003211828,0.0001735323,0.9154977,0.00374001,0.001720668,0.002018957,0.010315],"study_design_scores_gemma":[0.00002309851,0.00004886044,0.02313259,0.000009955697,0.00002292521,0.00002910448,0.0001779154,0.9744921,0.0005937843,0.0004812305,0.0009683524,0.00002001654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98862,0.0001092883,0.003927603,0.0004718209,0.00005273106,0.00003092066,0.001168631,0.0001894583,0.005429621],"genre_scores_gemma":[0.9947572,0.0001131025,0.001862577,0.00002597194,0.00001426198,0.00002486269,0.0005909184,0.00005012042,0.002561052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1529818,"threshold_uncertainty_score":0.3041827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678468672905639,"score_gpt":0.1926725664584648,"score_spread":0.1758878797294084,"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."}}