{"id":"W6944484871","doi":"10.18164/2b93d39f-5495-4c58-9ebd-5321f46539f9","title":"Lake of the Woods Satellite-derived Annual 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 Canada; Government of Quebec; Environment and Climate Change Canada","funders":"","keywords":"Bloom; Algal bloom; Satellite; Eutrophication; Suite; Moderate-resolution imaging spectroradiometer; Earth observation satellite","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":[0.0003848974,0.000788474,0.0005993104,0.002612857,0.000650181,0.001029735,0.001460529,0.000526782,0.02693021],"category_scores_gemma":[0.001907455,0.0003257695,0.0004203792,0.00691659,0.0001710643,0.0006044258,0.0008785186,0.0006806581,0.02281534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002763464,"about_ca_system_score_gemma":0.004136595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.451756,"about_ca_topic_score_gemma":0.5942772,"domain_scores_codex":[0.9996216,0.0000284519,0.00003229648,0.00008931448,0.0001431109,0.00008520976],"domain_scores_gemma":[0.9988255,0.00007556532,0.00009664748,0.0001315222,0.0007662881,0.0001043793],"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":[0.00004762082,0.00001198888,0.002472221,0.0002806951,0.00001827981,0.00001848707,0.00002594915,0.0002331054,0.0001603306,0.0004694162,0.9921597,0.004102333],"study_design_scores_gemma":[0.00008885731,0.00001013885,0.03150177,0.0002242004,0.00001988808,0.00002943465,0.0001065992,0.0006413762,0.0004899771,0.0004165995,0.9664404,0.00003079011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002761118,0.00002122547,0.00002540218,0.00001641966,0.000004837519,0.000007912023,0.9988891,0.00009029779,0.000668633],"genre_scores_gemma":[0.000596883,0.00002598339,0.0001488601,0.00001192718,0.000001715278,0.00003082113,0.9983497,0.00001834505,0.0008157723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.548244,"threshold_uncertainty_score":0.8982529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04326248800281134,"score_gpt":0.2929951260021489,"score_spread":0.2497326379993376,"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."}}