{"id":"W2988821638","doi":"10.1016/j.jglr.2019.09.016","title":"Nearshore-offshore trends in Lake Superior phytoplankton","year":2019,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Minnesota; U.S. Environmental Protection Agency","keywords":"Submarine pipeline; Oceanography; Phytoplankton; Environmental science; Fishery; Geology; Ecology; Biology; Nutrient","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000180373,0.0001032324,0.0001030618,0.0004288471,0.0003481519,0.0003303722,0.0001137778,0.0002368562,0.002557526],"category_scores_gemma":[0.0003936786,0.000116696,0.0001254649,0.0005344847,0.0001628437,0.0003463056,0.0004114104,0.0001679617,0.0003048518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004858713,"about_ca_system_score_gemma":0.0003438274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03829091,"about_ca_topic_score_gemma":0.1509218,"domain_scores_codex":[0.9999435,0.000007461422,0.000006663838,0.00001690287,0.0000128495,0.0000126367],"domain_scores_gemma":[0.9996432,0.00004419733,0.0000978498,0.0000132012,0.00009131127,0.000110218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001077298,0.00002205396,0.994872,0.00001128669,0.00002032202,0.00003617624,0.0004928777,0.0000665932,0.002022634,0.00004459253,0.0001719476,0.002131711],"study_design_scores_gemma":[7.7035e-7,0.0000121149,0.9996147,0.00000144708,0.000002249431,0.000005663957,0.0002036967,0.00003287773,0.00002571042,0.000005326503,0.00009498365,5.105682e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993075,0.00003849845,0.00001082461,0.00002519167,0.000001675302,7.771924e-7,0.0002308658,0.000001333183,0.0003833037],"genre_scores_gemma":[0.9986209,0.0000507564,0.00003702572,0.00001666264,0.000002982778,0.000002154985,0.0003580003,0.000001044688,0.0009105852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03829091,"threshold_uncertainty_score":0.07613605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066421025998253,"score_gpt":0.3288827723381016,"score_spread":0.2882185620781191,"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."}}