{"id":"W2890278799","doi":"10.1051/e3sconf/20184005010","title":"Comparison of Large Woody Debris Prototypes in a Large Scale Non-flume Physical Model","year":2018,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Debris; Debris flow; Flume; Environmental science; Flood myth; Flooding (psychology); Hydrology (agriculture); Landslide; Sediment transport; Sediment; Geology; Geotechnical engineering; Flow (mathematics); Geomorphology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003033142,0.000494172,0.000440622,0.0005112994,0.0004082764,0.0007670101,0.0007923439,0.001001023,0.002454482],"category_scores_gemma":[0.0008519949,0.0002434396,0.000493649,0.0002378103,0.0004273191,0.0005259732,0.0003638833,0.0003766381,0.0002364517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006158838,"about_ca_system_score_gemma":0.0005987124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01465715,"about_ca_topic_score_gemma":0.01204221,"domain_scores_codex":[0.99988,0.00002779644,0.000008892924,0.00002590983,0.0000313607,0.00002598193],"domain_scores_gemma":[0.9994469,0.0003064313,0.00004416203,0.00006425083,0.00009399854,0.0000441563],"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":[0.0001132754,0.0001598657,0.002185591,0.0000419945,0.00001381945,0.00009163356,0.00005045273,0.9895384,0.003414628,0.0005342821,0.0001935354,0.003662623],"study_design_scores_gemma":[0.00001786177,0.0001393023,0.001054662,0.000003636415,0.000007639352,0.00001202011,0.00003617266,0.9973182,0.0008676322,0.0001292589,0.0004058177,0.000007812715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636064,0.0001001345,0.02541453,0.0001215365,0.00004669259,0.0001560959,0.000479465,0.0004420363,0.009633159],"genre_scores_gemma":[0.993044,0.00006486438,0.004925529,0.00001684259,0.00000334313,0.00009435471,0.0002086332,0.0000199512,0.001622509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01465715,"threshold_uncertainty_score":0.02914363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169180771880953,"score_gpt":0.2962426187902735,"score_spread":0.2793245416021782,"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."}}