{"id":"W2959299246","doi":"10.3354/meps13068","title":"Competition between marine mammals and fisheries in contemporary harvested marine ecosystems","year":2019,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto Español de Oceanografía; Natural Sciences and Engineering Research Council of Canada; Helsingin Yliopisto","keywords":"Marine mammal; Fisheries science; Marine ecosystem; Fisheries management; Fishery; Competition (biology); Bycatch; Marine conservation; Ecosystem; Marine reserve; Marine protected area; Fishing; Ecology; Biology; Geography; Habitat","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001627107,0.0002224749,0.0004816926,0.0006076406,0.0005009687,0.001708783,0.0007704517,0.0006937555,0.001571586],"category_scores_gemma":[0.002838586,0.000144558,0.0003570504,0.0007913623,0.001268106,0.001485121,0.001642136,0.0004532341,0.0002321554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008005804,"about_ca_system_score_gemma":0.0007659402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004812723,"about_ca_topic_score_gemma":0.01131766,"domain_scores_codex":[0.9989614,0.0004580265,0.00008199165,0.0002088433,0.0001987667,0.00009086863],"domain_scores_gemma":[0.9983422,0.0008408506,0.0004964478,0.00005612199,0.0001297409,0.0001347603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003702394,0.0001503762,0.5769435,0.004236575,0.00142192,0.003712182,0.00576724,0.007735284,0.02099773,0.06809553,0.003075473,0.3074939],"study_design_scores_gemma":[0.00001594367,0.000448051,0.8869288,0.001369734,0.0004810641,0.001786959,0.01105228,0.009414764,0.002009379,0.04245275,0.0438776,0.0001626759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201733,0.04293853,0.01145013,0.002611499,0.00007803734,0.00003558073,0.0002853301,0.00003825707,0.02238946],"genre_scores_gemma":[0.9851317,0.009037376,0.003928317,0.0004683397,0.00006792472,0.00002814369,0.0001538839,0.00001048015,0.001173931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004812723,"threshold_uncertainty_score":0.009569407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184659360574776,"score_gpt":0.2289916077754263,"score_spread":0.2105256717179488,"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."}}