{"id":"W4414661936","doi":"10.22541/essoar.175923563.32025460/v1","title":"Using Machine Learning to Predict Phytoplankton Blooms in the Salish Sea","year":2025,"lang":"en","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phytoplankton; Algal bloom; Bloom; Climate change; Spring bloom; Sea surface temperature","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001080089,0.0007479766,0.0003965544,0.001082966,0.0003340444,0.0005972682,0.0004111837,0.0005253176,0.0004090547],"category_scores_gemma":[0.001668097,0.0002589446,0.000727263,0.0006054862,0.0001885821,0.0005016372,0.0004812654,0.0004492962,0.0001564951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191376,"about_ca_system_score_gemma":0.0009760788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05781492,"about_ca_topic_score_gemma":0.06129923,"domain_scores_codex":[0.99984,0.00004555651,0.00001693352,0.00004850325,0.00001944599,0.00002955422],"domain_scores_gemma":[0.9995109,0.0002543466,0.00005936397,0.0000369501,0.0001001845,0.0000382792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002002854,0.0001848358,0.1626655,0.00005482755,0.0001936986,0.0001309153,0.00006099971,0.7896239,0.003891391,0.0001941749,0.001464734,0.04133476],"study_design_scores_gemma":[0.00001324471,0.00003584291,0.03357578,0.000005607105,0.00001750324,0.000009387627,0.00002181041,0.9647942,0.001032568,0.0001899458,0.00029382,0.00001022127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923601,0.0001845352,0.005382822,0.0001421669,0.0000288666,0.0000195802,0.001045591,0.0003914647,0.0004448814],"genre_scores_gemma":[0.9877274,0.00007130498,0.007858752,0.00003391067,0.00001604111,0.00002092362,0.003859694,0.00001438408,0.0003975776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9421851,"threshold_uncertainty_score":0.1149568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898965469960088,"score_gpt":0.3041765729599238,"score_spread":0.2851869182603229,"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."}}