{"id":"W4408012878","doi":"10.1016/j.ocemod.2025.102526","title":"Transit time of deep and intermediate waters in the Gulf of St. Lawrence","year":2025,"lang":"en","type":"article","venue":"Ocean Modelling","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; McGill University","keywords":"Oceanography; Gulf Stream; Geology; Transit (satellite); Transit time; Climatology; Deep water; Environmental science","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":[0.000109916,0.000184128,0.0001287885,0.0003242596,0.0003263782,0.0005360986,0.0002436044,0.0001833379,0.0007556194],"category_scores_gemma":[0.000325551,0.0001364396,0.0002001859,0.0004088725,0.0001949016,0.0003132376,0.0003391991,0.0002086755,0.0001358551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891243,"about_ca_system_score_gemma":0.001380915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4885876,"about_ca_topic_score_gemma":0.5095565,"domain_scores_codex":[0.9999522,0.000002287645,0.000003147916,0.00002074014,0.0000077683,0.00001395841],"domain_scores_gemma":[0.999844,0.00001994621,0.00004806599,0.000009383589,0.00005161865,0.00002709631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004173532,0.00007353855,0.9238822,0.00009854539,0.00009391044,0.0002833616,0.000990134,0.02852756,0.02469102,0.001073446,0.001159359,0.0187095],"study_design_scores_gemma":[0.00002763675,0.0001447118,0.9347538,0.00003286853,0.00006424315,0.00005331656,0.0006989134,0.0544337,0.006637945,0.0002491398,0.002851573,0.00005221626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979883,0.00004014762,0.0001981865,0.00001761896,0.000002012792,0.000002827448,0.0007853199,0.00002207739,0.0009434248],"genre_scores_gemma":[0.997883,0.0000469712,0.0003173692,0.000008745395,5.558754e-7,0.000003119099,0.001115298,0.000004926331,0.0006198703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5114124,"threshold_uncertainty_score":0.9714875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007968434762365997,"score_gpt":0.1863083118628202,"score_spread":0.1783398771004542,"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."}}