{"id":"W4392779768","doi":"10.5194/bg-21-1235-2024","title":"Unusual <i>Hemiaulus</i> bloom influences ocean productivity in Northeastern US Shelf waters","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tula Foundation","funders":"Woods Hole Oceanographic Institution; Wellesley College; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Oceanography; Bloom; Productivity; Environmental science; Continental shelf; Geology; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001975678,0.0001728934,0.0001156824,0.0003369563,0.00028613,0.0004099483,0.0001436892,0.0001588303,0.0008397123],"category_scores_gemma":[0.0005235788,0.00008970054,0.0002681899,0.0004461239,0.0001492324,0.0002783604,0.0003273083,0.0001726023,0.00007504577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005614541,"about_ca_system_score_gemma":0.0005062263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07633037,"about_ca_topic_score_gemma":0.1767956,"domain_scores_codex":[0.9999237,0.00001439109,0.000009263911,0.00002287323,0.00001356446,0.00001615105],"domain_scores_gemma":[0.9996281,0.00004301084,0.0001767408,0.0000166563,0.00006371109,0.00007174989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001871336,0.000006395957,0.9982899,0.000004140073,0.00002636727,0.00003238321,0.00004010066,0.00004147212,0.0006713878,0.000007900266,0.00009344407,0.0007679143],"study_design_scores_gemma":[2.804944e-7,0.000003082087,0.9997442,0.000001261433,0.000004497379,0.000006952701,0.00005375289,0.00009638736,0.0000343986,0.000004420485,0.00005014192,5.698863e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993846,0.00004918685,0.00002220358,0.00003753003,0.000003390557,0.000001532842,0.0002686519,0.000002149065,0.0002307194],"genre_scores_gemma":[0.9994699,0.00003931997,0.00003999635,0.00003560427,0.000004221514,0.000002229586,0.0002825452,0.000001429438,0.0001247755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07633037,"threshold_uncertainty_score":0.1517721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009836422794379455,"score_gpt":0.2033107992766003,"score_spread":0.1934743764822209,"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."}}