{"id":"W348994721","doi":"","title":"An empirical approach to the remote sensing of the chlorophyll in the optically complex waters of the Estuary and Gulf of Saint-Lawrence","year":2009,"lang":"en","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estuary; SAINT; Oceanography; Chlorophyll a; Remote sensing; Environmental science; Geography; Geology; History; Biology; Botany","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":[0.0003904381,0.0001118145,0.00022403,0.00004327048,0.0002682823,0.000009601315,0.001027727,0.00005404266,0.000007105444],"category_scores_gemma":[0.00003686012,0.00005234106,0.0001325395,0.0003501501,0.0007473154,0.00008707843,0.0001423134,0.0001490323,0.000001157062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002905089,"about_ca_system_score_gemma":0.00008469691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008928489,"about_ca_topic_score_gemma":0.02069836,"domain_scores_codex":[0.998834,0.0002511874,0.0002575287,0.0001626728,0.0003557076,0.0001389172],"domain_scores_gemma":[0.9992508,0.00009623946,0.0001161087,0.0004059497,0.00009008056,0.00004079685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001339331,0.001050256,0.3842875,0.002506336,0.0002651493,0.00001186465,0.04889819,0.4129671,0.04435147,0.009186439,0.0008727471,0.09426357],"study_design_scores_gemma":[0.0002501605,0.0001650476,0.8995799,0.0003938056,0.0000493055,0.00002894523,0.0008468595,0.09563018,0.00195493,0.0002518699,0.0007693888,0.000079613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809154,0.000195934,0.002654297,0.0006327847,0.00008283937,0.0003314689,0.00001819992,0.000003347282,0.01516578],"genre_scores_gemma":[0.9981292,0.00001984276,0.001700715,0.0000689666,0.00001953798,1.588155e-8,0.000003611443,0.000001283635,0.00005680176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5152924,"threshold_uncertainty_score":0.9976711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009840098614891,"score_gpt":0.2078104625764161,"score_spread":0.1877120615902672,"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."}}