{"id":"W2773436535","doi":"10.1016/j.marpolbul.2017.12.007","title":"Refining the tethering of American oysters (Crassostrea virginica) to measure the effects of two environmental stressors","year":2017,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Carcinus maenas; Crassostrea; Oyster; Tethering; Biology; Predation; Eastern oyster; Ecology; Fishery; Zoology; Decapoda; Crustacean","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":[0.0001315803,0.0003345592,0.0001886594,0.0004855322,0.0005323825,0.0004221152,0.0003987158,0.0005848561,0.001112574],"category_scores_gemma":[0.0004522247,0.0002315716,0.0001798746,0.0003523808,0.0004434226,0.0002913945,0.0004652324,0.000567183,0.0003417718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004577872,"about_ca_system_score_gemma":0.0004714502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03842379,"about_ca_topic_score_gemma":0.1094846,"domain_scores_codex":[0.9998621,0.00001144712,0.000005675077,0.00005392497,0.0000320542,0.00003476068],"domain_scores_gemma":[0.9997125,0.00002404761,0.00008521767,0.00003429652,0.00007075744,0.00007316117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004659607,0.0004108906,0.388812,0.00006955482,0.00007558375,0.00009949889,0.0009969646,0.0004782223,0.5860468,0.0001572659,0.0003565914,0.02203059],"study_design_scores_gemma":[0.00001064208,0.0005027335,0.9804308,0.000006474243,0.00004765459,0.00008206222,0.0004130486,0.0008388955,0.01700152,0.0000464132,0.0006122968,0.000007384079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985291,0.00003801822,0.000323997,0.00001680703,0.000005936408,0.00001645302,0.0000939528,0.000008603904,0.0009671444],"genre_scores_gemma":[0.9958165,0.00006914837,0.0009516298,0.000104546,0.000003728843,0.00005927335,0.000300262,0.000008296234,0.002686702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03842379,"threshold_uncertainty_score":0.07640028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008274175988147224,"score_gpt":0.2379475009472436,"score_spread":0.2296733249590964,"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."}}