{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005835593,0.001576251,0.001064375,0.002545497,0.000588253,0.001439094,0.002295667,0.001419035,0.01659559],"category_scores_gemma":[0.002457401,0.0005520804,0.0009856762,0.007674822,0.000276497,0.0006849174,0.001177522,0.001111205,0.0237947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00227615,"about_ca_system_score_gemma":0.002878974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1747999,"about_ca_topic_score_gemma":0.2449462,"domain_scores_codex":[0.9994648,0.00005087959,0.00006868033,0.0001482341,0.000163794,0.0001035867],"domain_scores_gemma":[0.9987116,0.0001883657,0.0001638042,0.0002213698,0.0006015159,0.0001134208],"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":[0.0001271975,0.00006213701,0.00745315,0.0007488374,0.0001152478,0.00007987868,0.0000433955,0.001681211,0.0002426499,0.0004816235,0.984042,0.004922753],"study_design_scores_gemma":[0.0003449721,0.00003763539,0.04649517,0.000418351,0.0000796713,0.000116852,0.0002331079,0.00237869,0.0008802806,0.0009900561,0.9479564,0.00006886735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003929048,0.00002522513,0.00002173419,0.00002200064,0.000007070196,0.000003214358,0.9992218,0.00009216637,0.0002139677],"genre_scores_gemma":[0.0005495668,0.00001917042,0.00008437456,0.000009104939,0.000001473503,0.00001348388,0.999118,0.0000111075,0.0001937489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8252001,"threshold_uncertainty_score":0.3475649,"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."}}