{"id":"W2883755839","doi":"10.3354/meps12692","title":"Phytoplankton and bacterial dynamics on the Chukchi Sea Shelf during the spring-summer transition","year":2018,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Fisheries and Oceans Canada; University of Southern California; National Science Foundation","keywords":"Phytoplankton; Oceanography; Trophic level; Arctic; Food web; Biological oceanography; Climate change; Environmental science; Microbial loop; Ecology; Biology; Nutrient; Geology","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":[0.0001329676,0.0003217836,0.0002874734,0.0007442129,0.0009699099,0.0005655793,0.0002324828,0.0003480776,0.0005438111],"category_scores_gemma":[0.0002468325,0.0002539905,0.0001969443,0.0008884642,0.0003843544,0.0002288627,0.0004761594,0.0002246662,0.0001788203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009285785,"about_ca_system_score_gemma":0.0005738832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1040342,"about_ca_topic_score_gemma":0.1904392,"domain_scores_codex":[0.9999127,0.000009045366,0.000007751269,0.00002148021,0.00001774396,0.00003124763],"domain_scores_gemma":[0.999673,0.00003154346,0.00009134969,0.00001038643,0.00009276444,0.0001009027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001955483,0.00002975728,0.9841436,0.00002401763,0.00003817658,0.0001397683,0.0009999528,0.0002206003,0.01198914,0.00002055412,0.00007563801,0.00212323],"study_design_scores_gemma":[6.76754e-7,0.00001762597,0.9994733,0.000001792588,0.000004772659,0.00001335943,0.0002561793,0.00009741476,0.00009764274,0.000001911169,0.00003394645,0.000001518784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997817,0.00002705873,0.000009309372,0.000004705484,6.471081e-7,9.419741e-7,0.0000687939,9.535005e-7,0.0001060673],"genre_scores_gemma":[0.999507,0.00004493798,0.00003450706,0.000007939152,0.000001289131,0.000003594337,0.0002260719,7.799198e-7,0.0001739857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1040342,"threshold_uncertainty_score":0.2068572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005310391614557053,"score_gpt":0.195747042689921,"score_spread":0.1904366510753639,"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."}}