{"id":"W1891577576","doi":"10.1002/2014jg002770","title":"Physical associations to spring phytoplankton biomass interannual variability in the U.S. Northeast Continental Shelf","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Environmental science; Phytoplankton; Spring bloom; Continental shelf; Chlorophyll a; Biomass (ecology); Sea surface temperature; Ecosystem; Marine ecosystem; Salinity; Climatology; Geology; Nutrient; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002296733,0.0001487797,0.0001357561,0.0006008478,0.0003258087,0.0004731971,0.0001691046,0.0001692564,0.001161795],"category_scores_gemma":[0.000669756,0.0001114632,0.0002011833,0.00105951,0.0001786731,0.0001907835,0.0003412305,0.0001881206,0.0001774307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006753303,"about_ca_system_score_gemma":0.0004702205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2148325,"about_ca_topic_score_gemma":0.4375105,"domain_scores_codex":[0.9999143,0.00001201208,0.00001120395,0.00002780509,0.00001933494,0.00001541585],"domain_scores_gemma":[0.9992915,0.0001067211,0.0002558152,0.00005493574,0.000174713,0.0001163105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001093027,0.000006804807,0.9981366,0.000003562216,0.00002327205,0.00002233077,0.00005283126,0.0001071876,0.0002889449,0.00001172771,0.000216561,0.001119211],"study_design_scores_gemma":[2.703836e-7,0.000001769569,0.9997755,0.000001886773,0.000001925649,0.000004112513,0.00004502088,0.00009089801,0.00001118014,0.000003479164,0.00006338138,5.362809e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998359,0.00008445121,0.00004113681,0.00004898791,0.000005717114,0.000001606085,0.001004119,0.000004450964,0.000450492],"genre_scores_gemma":[0.998776,0.0000638796,0.00005116337,0.00002826318,0.00000359864,0.000002529103,0.0008658576,0.000001695981,0.0002070349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2148325,"threshold_uncertainty_score":0.427164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04506855310082511,"score_gpt":0.3150698717946077,"score_spread":0.2700013186937826,"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."}}