{"id":"W3211973343","doi":"10.1007/s12237-021-01018-w","title":"Differential Impacts of Climate and Land-use on Twentieth-century Phytoplankton Composition among and within Two Temperate Coastal Estuaries of Atlantic Canada","year":2021,"lang":"en","type":"article","venue":"Estuaries and Coasts","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University; Université de Moncton","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Phytoplankton; Estuary; Environmental science; Temperate climate; Abundance (ecology); Drainage basin; Ecology; Oceanography; Hydrology (agriculture); Nutrient; Geography; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007250529,0.0001418635,0.0003051175,0.00002350026,0.0001530959,0.00005288743,0.00004745273,0.00004483613,0.00007729765],"category_scores_gemma":[0.00002235082,0.000121917,0.00002176549,0.00008420164,0.0005628802,0.0001444126,0.00025174,0.00009358912,5.30812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002192393,"about_ca_system_score_gemma":0.00003505533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1790544,"about_ca_topic_score_gemma":0.7432396,"domain_scores_codex":[0.999043,0.00007841441,0.0002464048,0.0002410253,0.0001889936,0.0002021231],"domain_scores_gemma":[0.9995213,0.0001009047,0.0001490719,0.0001299932,0.00001940492,0.00007931583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001090409,0.00005975964,0.9913568,0.00004731727,0.00004624335,0.00002641666,0.0006277947,0.0000962302,0.006854188,0.0002866013,0.00006499263,0.0004245389],"study_design_scores_gemma":[0.0007677034,0.0001501657,0.989357,0.00005765422,0.00008402515,0.00002969662,0.0004939731,0.0007183537,0.008067472,0.00006369554,0.00007065344,0.0001396085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994867,0.00007870902,0.00001008908,0.00006192338,0.0001254501,0.0000897514,0.00004258742,0.000005734386,0.00009902872],"genre_scores_gemma":[0.9991955,0.0005631702,0.00007416121,0.00006292088,0.00001333334,0.000002781978,0.00005321624,0.000007719749,0.00002726783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5641852,"threshold_uncertainty_score":0.8264123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004240598121864149,"score_gpt":0.1964949702854949,"score_spread":0.1922543721636308,"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."}}