{"id":"W6944312432","doi":"10.18164/c6df8218-6ac0-4dab-b697-228e318e44ed","title":"Lake Winnipeg Satellite-derived Daily Algal Bloom Indices","year":2019,"lang":"en","type":"dataset","venue":"ECCC Data Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Quebec; Government of Canada; Environment and Climate Change Canada","funders":"","keywords":"Algal bloom; Bloom; Satellite; Eutrophication; Moderate-resolution imaging spectroradiometer; Suite","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.001907649,0.001980099,0.002112238,0.001129729,0.0003437228,0.0009133572,0.01469589,0.001682835,0.003085538],"category_scores_gemma":[0.001085338,0.002001296,0.0002736624,0.001165294,0.0007914993,0.002476687,0.008869234,0.002669174,0.2735142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233819,"about_ca_system_score_gemma":0.001530955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00745148,"about_ca_topic_score_gemma":0.08876248,"domain_scores_codex":[0.9897209,0.0005609693,0.00163307,0.004095797,0.002014879,0.001974395],"domain_scores_gemma":[0.9779295,0.0005577204,0.001736891,0.01890552,0.0002116062,0.0006587929],"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":[0.000162377,0.0004219327,0.0001648165,0.0006213026,0.0007416551,0.0006419812,0.00006550257,0.000003541421,0.0002605658,0.000004251317,0.9963894,0.0005226658],"study_design_scores_gemma":[0.00157491,0.000131337,0.001350585,0.0003802802,0.001008541,0.0002083363,0.00006937224,0.00001395857,0.0001445873,0.00001408518,0.9928809,0.002223113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002155205,0.004037565,0.000004689593,0.00008627027,0.002961554,0.001554292,0.9904854,0.0004527957,0.0002019631],"genre_scores_gemma":[0.00009071959,0.001446458,0.0003193138,0.0006664385,0.001904697,0.00008703477,0.994554,0.0005413903,0.0003899934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2704286,"threshold_uncertainty_score":0.9996317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05916210106465811,"score_gpt":0.3012360546548868,"score_spread":0.2420739535902287,"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."}}