{"id":"W2935716187","doi":"","title":"Proximal braided-river morphodynamics reconstructed through groundpenetrating radar and multi-temporal remote sensing: Kicking Horse River, British Columbia, Canada","year":2019,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beach morphodynamics; Remote sensing; Geography; Geology; Radar; Hydrology (agriculture); Geomorphology; Cartography; Telecommunications; Computer science; Sediment transport; Geotechnical engineering; Sediment","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001015634,0.0003786384,0.0005221259,0.00007912703,0.0006412855,0.0001471085,0.0003747656,0.0005176375,0.0008890525],"category_scores_gemma":[0.00001680457,0.0006512639,0.0001080322,0.0004709871,0.0004371282,0.0006777527,0.00009189176,0.0006674296,0.0000119167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004037996,"about_ca_system_score_gemma":0.0003822508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9074135,"about_ca_topic_score_gemma":0.9979178,"domain_scores_codex":[0.9975373,0.0001106184,0.0003638955,0.0009930882,0.0004330529,0.0005620439],"domain_scores_gemma":[0.9990243,0.00004525336,0.0004114658,0.0002880991,0.00005042311,0.0001804706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009592681,0.0005528019,0.7138101,0.002566137,0.002023325,0.01969227,0.02483868,0.001003772,0.004200827,0.0001240011,0.005147004,0.2250818],"study_design_scores_gemma":[0.02799427,0.001366606,0.6442391,0.005868934,0.005904486,0.002833941,0.08401138,0.08364226,0.001419949,0.001458845,0.1249604,0.01629985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910889,0.0001530098,0.004296071,0.00002233016,0.0008017897,0.0005391427,0.0001148132,0.00008779718,0.002896159],"genre_scores_gemma":[0.9334196,0.0001767716,0.02459573,0.0001087767,0.00004090602,2.1207e-7,0.002512144,0.00006508634,0.03908072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2087819,"threshold_uncertainty_score":0.9995939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006470247789751777,"score_gpt":0.1804215171224501,"score_spread":0.1739512693326983,"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."}}