{"id":"W2020136387","doi":"10.1007/s00254-005-0017-z","title":"Debris flow erosion and deposition in Jiangjia Gully, Yunnan, China","year":2005,"lang":"en","type":"article","venue":"Environmental Geology","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Outstanding Youth Foundation of China; National Youth Foundation of China; Dalhousie University","keywords":"Debris flow; Debris; Deposition (geology); Erosion; Sediment; Hydrology (agriculture); Channel (broadcasting); Geology; Ravine; Hyperconcentrated flow; Magnitude (astronomy); Volume (thermodynamics); Flow (mathematics); Environmental science; Geomorphology; Sediment transport; Geotechnical engineering; Geography; Bed load","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003332263,0.0004088879,0.0003992431,0.001393662,0.00145419,0.0006333868,0.0004900105,0.0003230633,0.0003616825],"category_scores_gemma":[0.0003727622,0.0002919938,0.0002860566,0.002213165,0.0005507342,0.0003567332,0.0006674356,0.0002269373,0.00005583474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225434,"about_ca_system_score_gemma":0.002907819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3312843,"about_ca_topic_score_gemma":0.5591182,"domain_scores_codex":[0.9998636,0.00001651246,0.00001792256,0.00002982034,0.00002542238,0.00004680816],"domain_scores_gemma":[0.9997548,0.00002450032,0.00006897021,0.0000138498,0.00005670262,0.00008104279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001099535,0.00004246299,0.9935129,0.00002269936,0.0000682895,0.0006190628,0.001433539,0.0002545751,0.001221867,0.00007272841,0.0001028986,0.002538886],"study_design_scores_gemma":[0.000004861808,0.00001445383,0.9985678,0.000002484924,0.00001061104,0.00006433369,0.0009302097,0.0001650304,0.00005203202,0.00001636215,0.0001693186,0.000002609677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997428,0.00004920659,0.00001202116,0.00001731916,9.196061e-7,0.0000021922,0.00006819343,0.000001066926,0.0001061776],"genre_scores_gemma":[0.9992607,0.00008124116,0.0000707365,0.00001359618,0.000003048443,0.000005616256,0.0002736221,9.621504e-7,0.000290467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3312843,"threshold_uncertainty_score":0.6587119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002259722332065991,"score_gpt":0.1736273960282836,"score_spread":0.1713676736962177,"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."}}