{"id":"W4416298216","doi":"10.3389/fmars.2025.1672298","title":"Evaluation of satellite-based sea surface salinity derived from two distinct spectral domains over the coastal waters of the St. Lawrence Estuary and Gulf","year":2025,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration","keywords":"Estuary; Salinity; SSS*; Satellite; Sea ice; Sea surface temperature; Ocean color; Storm","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":[0.0005807249,0.0004419282,0.0002621086,0.000879439,0.0004140658,0.0008764426,0.0003764697,0.0002927537,0.0004738227],"category_scores_gemma":[0.001124703,0.0001836819,0.0003293423,0.001342127,0.0002807108,0.0004250234,0.0004492291,0.0002386643,0.0001594553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404044,"about_ca_system_score_gemma":0.001416859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4794737,"about_ca_topic_score_gemma":0.7141405,"domain_scores_codex":[0.9997543,0.00002243828,0.00001861452,0.00006477399,0.00008609867,0.00005393752],"domain_scores_gemma":[0.9991302,0.0001006768,0.0001105237,0.00004926234,0.0005078164,0.0001015437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004732435,0.000157126,0.9444459,0.00007011567,0.0002206293,0.0002450505,0.0003412783,0.007519627,0.02124424,0.00015482,0.0005778594,0.02455013],"study_design_scores_gemma":[0.00001998356,0.00007948674,0.9797293,0.00001336064,0.00004907251,0.0000425272,0.0004346784,0.01582064,0.003016552,0.00001837254,0.0007616706,0.00001414673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981059,0.0000376658,0.0002643039,0.0000154393,0.00000420861,0.000007902388,0.0008098998,0.00003946747,0.0007153564],"genre_scores_gemma":[0.9962411,0.00004962657,0.001032549,0.0000129207,0.00000293277,0.000006512105,0.002205905,0.0000118719,0.0004365176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5205263,"threshold_uncertainty_score":0.9533656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009391402320439873,"score_gpt":0.2288021042588426,"score_spread":0.2194107019384028,"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."}}