{"id":"W6991650203","doi":"","title":"Implementation of geotechnical and vegetation modules inTELEMAC to simulatethe dynamics of vegetated alluvial floodplains","year":2014,"lang":"en","type":"other","venue":"Coventry University Open Collections (Coventry university)","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Mass wasting; Floodplain; Vegetation (pathology); Channel (broadcasting); Flow (mathematics); Aggradation; Hydrology (agriculture); Block (permutation group theory); Sediment; Alluvium","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":[0.000628855,0.00101832,0.0005622001,0.0003631024,0.0003846888,0.0009463658,0.002948138,0.001107798,0.01265221],"category_scores_gemma":[0.001216556,0.0005758508,0.0009378925,0.0004203453,0.0005011929,0.000898372,0.001151553,0.001577224,0.003607509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007664191,"about_ca_system_score_gemma":0.001799554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004672238,"about_ca_topic_score_gemma":0.005318369,"domain_scores_codex":[0.9997446,0.00002904894,0.00002163093,0.00005354442,0.00009823665,0.00005304966],"domain_scores_gemma":[0.9994597,0.0001459486,0.00004455755,0.0001312935,0.0001679232,0.00005062744],"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":[0.000595222,0.001222119,0.01877144,0.001180774,0.0004268976,0.0006002255,0.0008706846,0.5878829,0.0378609,0.06673747,0.08515793,0.1986934],"study_design_scores_gemma":[0.0001449172,0.00009571126,0.001644791,0.00003492847,0.00003159695,0.00008349861,0.00004138561,0.9287164,0.01862271,0.003652792,0.04689753,0.00003386023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1030703,0.0002679497,0.7759809,0.0003164376,0.00046861,0.0008027026,0.005271959,0.07775182,0.03606923],"genre_scores_gemma":[0.3128147,0.0004262029,0.6388824,0.000543769,0.00007564446,0.001791395,0.01112465,0.007894268,0.02644705],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01265221,"threshold_uncertainty_score":0.04232591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006654683679757187,"score_gpt":0.218451428505651,"score_spread":0.2117967448258938,"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."}}