{"id":"W4406810895","doi":"10.1061/jwped5.wweng-2165","title":"Development and Experimental Validation of a Lagrangian Particle-Tracking Model to Simulate Wave-Driven Transport of Coastal Driftwood","year":2025,"lang":"en","type":"article","venue":"Journal of Waterway Port Coastal and Ocean Engineering","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of British Columbia","funders":"","keywords":"Lagrangian; Tracking (education); Lagrangian particle tracking; Particle (ecology); Environmental science; Geology; Physics; Oceanography; Mathematical physics","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":[0.0005965903,0.0005966363,0.0003834915,0.0002926496,0.0004667359,0.0005889668,0.0009498975,0.0007766333,0.001123399],"category_scores_gemma":[0.0009755163,0.0002805296,0.0004790104,0.0001894717,0.000314254,0.0004645061,0.000483085,0.000745686,0.0001890127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005587699,"about_ca_system_score_gemma":0.00125601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01793899,"about_ca_topic_score_gemma":0.01256502,"domain_scores_codex":[0.9998832,0.00002043259,0.00001214275,0.00002552191,0.00003606458,0.00002253236],"domain_scores_gemma":[0.9995317,0.0001866554,0.00004457832,0.00006451701,0.0001249489,0.00004752533],"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":[0.00007628985,0.0003427333,0.00568265,0.00004078881,0.00002010858,0.0001026161,0.00005830654,0.9710723,0.01306444,0.0007446643,0.000219153,0.008576035],"study_design_scores_gemma":[0.00001395198,0.00006023292,0.0003486124,0.000001815672,0.000003512958,0.000002541702,0.000006406055,0.99698,0.002437943,0.00003186681,0.0001097917,0.00000331205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426368,0.00005560957,0.05219891,0.0001074206,0.00006318974,0.0001873774,0.0004325235,0.000498895,0.003819219],"genre_scores_gemma":[0.9754379,0.00004768675,0.02311029,0.00001731161,0.000004848875,0.0001140524,0.0003328665,0.00002815577,0.0009068681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01793899,"threshold_uncertainty_score":0.03566915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040901259879808,"score_gpt":0.2024020875358752,"score_spread":0.1919930749370772,"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."}}