{"id":"W4393384160","doi":"10.1007/978-3-031-48691-3_2","title":"Debris-Flow Watersheds and Fans: Morphology, Sedimentology and Dynamics","year":2024,"lang":"en","type":"book-chapter","venue":"Geoenvironmental disaster reduction","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Debris flow; Geology; Debris; Hydrology (agriculture); Sedimentology; Deposition (geology); Sediment; Geomorphology; Groundwater recharge; Hyperconcentrated flow; Sediment transport; Oceanography; Bed load; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009290739,0.0004586514,0.0002006256,0.0008336306,0.0003979945,0.0020332,0.0004281256,0.0004295333,0.0142571],"category_scores_gemma":[0.0001910338,0.0002010458,0.0001195769,0.002029215,0.0006362625,0.001226294,0.0003339295,0.0003600528,0.001807348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000519073,"about_ca_system_score_gemma":0.0004526372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005984765,"about_ca_topic_score_gemma":0.02470823,"domain_scores_codex":[0.9999654,0.000004651438,0.000001415571,0.000006372137,0.00001826196,0.000003843013],"domain_scores_gemma":[0.9999551,0.00002068433,0.00000389751,0.000002815016,0.00001212629,0.000005386206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001822935,0.0000458442,0.004199835,0.0002348733,0.000006734802,0.0002812535,0.0009906138,0.003659489,0.00217059,0.1296821,0.1480958,0.7106146],"study_design_scores_gemma":[0.00000209241,0.00002099343,0.01181619,0.0001325202,0.000006089751,0.0006420795,0.0007609543,0.002965723,0.0005611035,0.05264666,0.9304348,0.00001077708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02451708,0.08184353,0.04633953,0.003273293,0.001593757,0.0001069933,0.001050247,0.0007208185,0.8405548],"genre_scores_gemma":[0.1029359,0.04162553,0.01889417,0.0004627393,0.000693878,0.00004492341,0.0007866797,0.0002590712,0.8342971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0142571,"threshold_uncertainty_score":0.04769474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00502709645820157,"score_gpt":0.185635233878198,"score_spread":0.1806081374199965,"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."}}