{"id":"W4362671502","doi":"10.3389/frsen.2023.1125898","title":"Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence River","year":2023,"lang":"en","type":"article","venue":"Frontiers in Remote Sensing","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement; Université Laval; Institut National de la Recherche Scientifique; Centre de Géomatique du Québec","funders":"Université Laval","keywords":"Bedform; Bathymetry; Geology; Seafloor spreading; Estuary; Context (archaeology); Remote sensing; Geomorphology; Oceanography; Sediment transport; Sediment","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002160915,0.0003710231,0.0002817226,0.001744122,0.0001821829,0.0005649638,0.0003494351,0.0002458498,0.0005920858],"category_scores_gemma":[0.0004740093,0.0002330892,0.0004063182,0.001478932,0.00008511966,0.0003723082,0.0006630888,0.0002287582,0.0001855896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003104737,"about_ca_system_score_gemma":0.0006989797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03053252,"about_ca_topic_score_gemma":0.06030612,"domain_scores_codex":[0.999841,0.0000255984,0.00001698782,0.00004239394,0.00005364542,0.00002033837],"domain_scores_gemma":[0.999859,0.00001677148,0.00002176568,0.00001673496,0.00007309404,0.00001256603],"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":[0.0001724563,0.0005282869,0.2359258,0.0003569077,0.0003534281,0.0009232414,0.001143544,0.1424754,0.05702187,0.002308618,0.003006621,0.5557838],"study_design_scores_gemma":[0.00001829671,0.0001185718,0.2003459,0.00003178784,0.00009205961,0.0001660631,0.001109164,0.7833099,0.008099284,0.0006468577,0.006025448,0.00003665184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6630602,0.0003723703,0.3282087,0.0001789305,0.0000449029,0.0002046846,0.003104963,0.001473981,0.003351312],"genre_scores_gemma":[0.8319758,0.0002291,0.163386,0.00002566509,0.00001182554,0.0001129987,0.002856652,0.00003075144,0.001371288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9694675,"threshold_uncertainty_score":0.0607096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04697253015556906,"score_gpt":0.2495359103326606,"score_spread":0.2025633801770915,"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."}}