{"id":"W7114990092","doi":"10.26071/7bb5f2d7-b91e-46ce","title":"Multibeam Bathymetry, Acoustic Doppler Current Profiler, and Sediment Core Data from the Pointe-des-Monts Underwater Canyon System, St. Lawrence Estuary","year":2025,"lang":"en","type":"dataset","venue":"OGSL repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of New Brunswick; Geological Survey of Canada","funders":"","keywords":"Bathymetry; Canyon; Submarine canyon; Submarine pipeline; Current (fluid); Turbidity current; Estuary; Acoustic Doppler current profiler; Submarine","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":[0.0009042094,0.001524171,0.0009452155,0.003129083,0.0008064032,0.001501949,0.0025058,0.001556286,0.01635168],"category_scores_gemma":[0.002725467,0.000640386,0.0007842933,0.006288222,0.0003937795,0.0007956484,0.001626439,0.001119564,0.02403711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002778498,"about_ca_system_score_gemma":0.00405943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2619886,"about_ca_topic_score_gemma":0.4440137,"domain_scores_codex":[0.9993123,0.00006720488,0.00008029101,0.0001781133,0.000231719,0.0001303843],"domain_scores_gemma":[0.9982961,0.0002108167,0.0002105396,0.0003019804,0.0008074926,0.0001732027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009844981,0.00006912358,0.009556171,0.0008193591,0.00007693868,0.00009263396,0.0001018879,0.001012875,0.0003673509,0.0005470731,0.9817447,0.005513341],"study_design_scores_gemma":[0.0002462846,0.00003532178,0.0485626,0.0005198952,0.00005207839,0.00008322341,0.0003458497,0.002106508,0.001002181,0.0009089283,0.9460663,0.00007082411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005108311,0.00002686931,0.00004810133,0.00002226022,0.000007494501,0.000007086574,0.9989687,0.0001444189,0.0002642089],"genre_scores_gemma":[0.0006304429,0.00001808045,0.0001698994,0.000008749857,0.000001599166,0.00002331887,0.9988666,0.00001606389,0.0002653183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7380114,"threshold_uncertainty_score":0.5209273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04478887933664485,"score_gpt":0.3020360930698288,"score_spread":0.2572472137331839,"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."}}