{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001137853,0.001428151,0.001286814,0.0003068438,0.001002048,0.0006159259,0.00398432,0.0006340652,0.00008106029],"category_scores_gemma":[0.0003634394,0.001028343,0.0001853305,0.0004553924,0.0007820225,0.00053784,0.004798842,0.001882148,0.0003276314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770671,"about_ca_system_score_gemma":0.001036637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02752053,"about_ca_topic_score_gemma":0.003994036,"domain_scores_codex":[0.992013,0.0009042203,0.001402081,0.002840677,0.001780826,0.001059204],"domain_scores_gemma":[0.9898957,0.00115836,0.001070411,0.007084349,0.0003485144,0.000442683],"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":[0.0002016889,0.0004559084,0.001302206,0.001859428,0.0006778157,0.0004095155,0.0001188202,0.00003294515,0.001015009,0.000002225111,0.9937165,0.0002079579],"study_design_scores_gemma":[0.002124908,0.0002021763,0.004271862,0.01004199,0.003630109,0.0004331622,0.0007345988,0.004131787,0.0003265768,0.00001393818,0.9723082,0.00178076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00201311,0.01376912,0.0001046054,0.00003281665,0.007152098,0.00246874,0.9739513,0.0003318752,0.0001763122],"genre_scores_gemma":[0.009935561,0.0005988016,0.0001578523,0.000106997,0.001623179,0.0003663191,0.9864777,0.0001614245,0.0005721383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0235265,"threshold_uncertainty_score":0.9998469,"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."}}