{"id":"W2912238246","doi":"10.1029/2018jc014777","title":"Photoacclimation State of an Arctic Underice Phytoplankton Bloom","year":2019,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; Helmholtz Association; Norges Forskningsråd; National Science Council","keywords":"Phytoplankton; Arctic; Bloom; Oceanography; Environmental science; Chlorophyll a; Sea ice; Ocean color; Algal bloom; Absorption (acoustics); Ecology; Biology; Geology; Physics; Nutrient; Botany; Satellite","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002196937,0.0001968411,0.0002339247,0.0004183693,0.0004371071,0.0004248633,0.00009517401,0.0001656364,0.0004273435],"category_scores_gemma":[0.0002222413,0.0001140928,0.0002308071,0.0003508782,0.0001631866,0.0002431533,0.0002905207,0.0003341891,0.0001872269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003596375,"about_ca_system_score_gemma":0.0001771764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006965843,"about_ca_topic_score_gemma":0.01080603,"domain_scores_codex":[0.9998829,0.00001400521,0.00000903339,0.00004078012,0.00003440475,0.00001880934],"domain_scores_gemma":[0.9997811,0.00002987128,0.00006127189,0.00001531149,0.00008128789,0.00003119355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003207846,0.00003347029,0.4412714,0.0001372668,0.0000710122,0.0002080776,0.0007093189,0.0004285321,0.5442909,0.00007209911,0.0002480376,0.01220904],"study_design_scores_gemma":[9.676633e-7,0.0000487634,0.9782794,0.000006099155,0.00001738328,0.00009119609,0.0003114556,0.0003854234,0.02013713,0.00001622164,0.0006990843,0.000006793518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981629,0.0002193592,0.0004319679,0.00001239699,0.000006231073,0.000005059405,0.0002664607,0.00001800234,0.000877589],"genre_scores_gemma":[0.9982754,0.000188004,0.0006269078,0.00002846867,0.000004579003,0.000008725377,0.0004776052,0.000011761,0.0003786217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006965843,"threshold_uncertainty_score":0.01385063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568976346921817,"score_gpt":0.2845289688840848,"score_spread":0.2588392054148666,"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."}}