{"id":"W4313545719","doi":"10.1007/s10661-022-10867-2","title":"Effects of dredging activities and seasonal variation on coastal plankton assemblages: results from 10 years of environmental monitoring","year":2023,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Submarine Engineering (Canada)","funders":"","keywords":"Dredging; Plankton; Zooplankton; Benthic zone; Bay; Abundance (ecology); Environmental science; Phytoplankton; Ecology; Ecosystem; Oceanography; Biology; Fishery; Nutrient","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002143159,0.0002187015,0.0002406089,0.00007233271,0.0001187155,0.00002882567,0.0001099563,0.00006070861,0.00005459991],"category_scores_gemma":[0.0000116171,0.0002357789,0.0000510432,0.0000789573,0.0001612837,0.0001994803,0.001255448,0.0001531466,0.00001719123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631726,"about_ca_system_score_gemma":0.000004317278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003307856,"about_ca_topic_score_gemma":0.000002325191,"domain_scores_codex":[0.9983221,0.00006871916,0.0002965344,0.0004599564,0.000590918,0.0002617564],"domain_scores_gemma":[0.9991836,0.0003373456,0.0001883197,0.0001843968,5.585563e-7,0.0001058139],"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":[0.000169933,0.0003599757,0.2514503,0.00005773553,0.00009348209,0.00003321494,0.001263874,0.0007579265,0.4736978,0.00001164274,0.00004543874,0.2720587],"study_design_scores_gemma":[0.000986799,0.00028438,0.94877,0.0001086707,0.00004701076,9.317586e-7,0.001088586,0.0003516166,0.04775811,0.00009291257,0.0003173882,0.0001935847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984703,0.00004923514,0.0000270819,0.00003050794,0.0002820879,0.000241201,0.0001529097,0.00003548092,0.000711212],"genre_scores_gemma":[0.9980782,0.0007158554,0.0005189597,0.000002787933,0.000118077,0.00002657717,0.00005373368,0.00002247028,0.000463335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6973197,"threshold_uncertainty_score":0.9614784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007223008993148442,"score_gpt":0.225765963298744,"score_spread":0.2185429543055956,"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."}}