{"id":"W4324362213","doi":"10.3390/rs15061601","title":"Cyanobacteria Index as a Tool for the Satellite Detection of Cyanobacteria Blooms in the Baltic Sea","year":2023,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University; University of Victoria","funders":"","keywords":"Cyanobacteria; Environmental science; Bloom; Algal bloom; Radiance; Phycocyanin; Oceanography; Ecology; Remote sensing; Phytoplankton; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007821222,0.0001078478,0.0001517011,0.00008062508,0.0001413356,0.00008583665,0.000140045,0.00005850715,0.00003095191],"category_scores_gemma":[0.00009379247,0.00006419195,0.00007325987,0.0004878405,0.00003320978,0.00008354757,0.00001635962,0.0001030546,0.00007373081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004616587,"about_ca_system_score_gemma":0.00003283395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008510005,"about_ca_topic_score_gemma":0.01826004,"domain_scores_codex":[0.9989926,0.0001334061,0.0002602003,0.0001701561,0.0001784934,0.0002651144],"domain_scores_gemma":[0.9991308,0.000471692,0.0000976823,0.0002416952,0.000033018,0.00002504055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001123865,0.000003184356,0.008556165,0.00009154413,0.00002143241,0.00001558008,0.0006015648,0.0005085782,0.009009873,0.000004570178,0.00001061726,0.9810645],"study_design_scores_gemma":[0.0003440412,0.0001265705,0.358006,0.00008995766,0.00002739348,0.0001105221,0.0009159852,0.6272205,0.002480697,0.0006570978,0.009854469,0.0001667588],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967778,0.0000660068,0.0007228058,0.0002393437,0.000432069,0.0004183162,0.00001333834,0.00003389994,0.001296462],"genre_scores_gemma":[0.9994045,0.00009895227,0.00007731779,0.0001251263,0.0001573372,4.804883e-8,0.00003101763,0.000005072112,0.0001005735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9808977,"threshold_uncertainty_score":0.9996542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416373314277685,"score_gpt":0.2193580451223701,"score_spread":0.2051943119795933,"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."}}