{"id":"W6927154417","doi":"10.26071/ogsl-969715ba-3747","title":"Chlorophyll-a and Salinity Concentrations Derived from Satellite Images for the Estuary and Gulf of St. Lawrence (1998-2023)","year":2022,"lang":"en","type":"dataset","venue":"OGSL repository","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estuary; Salinity; Satellite; Baseline (sea); Ocean color; Chlorophyll a","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001284272,0.0002628909,0.0003642569,0.00004346808,0.0005645569,0.00004631432,0.0003273985,0.0002297268,0.0005537174],"category_scores_gemma":[0.00004669759,0.0002002349,0.0001081443,0.00005609903,0.0006100672,0.00006057914,0.0003479514,0.0003244584,0.000008488161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000230013,"about_ca_system_score_gemma":0.00007097573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007079692,"about_ca_topic_score_gemma":0.00007760697,"domain_scores_codex":[0.9987825,0.0001716199,0.0003410606,0.0004476077,0.00004576219,0.0002115218],"domain_scores_gemma":[0.9986333,0.0004989408,0.0003160369,0.0004778086,0.00004803103,0.0000258382],"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":[0.0001560969,0.00008009654,0.0001046531,0.000109922,0.0005766758,0.00001000424,0.0001298664,4.988179e-7,0.1135045,0.00002244688,0.8847527,0.0005525235],"study_design_scores_gemma":[0.0006660031,0.0001160256,0.003186068,0.00004050281,0.0008424757,0.00001296246,0.0004598996,4.053498e-7,0.006391864,0.00003388193,0.9880269,0.0002230601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006466055,0.05464501,0.00002581411,0.00009756102,0.001146247,0.0007601542,0.9367459,0.00002241705,0.0000908178],"genre_scores_gemma":[0.008249307,0.006258018,0.00003855345,0.0002077635,0.0001027316,0.0001333257,0.9831149,0.00001694009,0.001878458],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1071126,"threshold_uncertainty_score":0.8165342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010346415884526,"score_gpt":0.2320756029740428,"score_spread":0.2217291870895168,"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."}}