{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004646821,0.000366921,0.0007580474,0.00008511633,0.0001388152,0.00008612826,0.0003076684,0.0001726069,0.01182488],"category_scores_gemma":[0.00005139521,0.0003521665,0.00005679218,0.0003041248,0.000551722,0.0007363331,0.004658788,0.0002679808,0.0003946525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001670457,"about_ca_system_score_gemma":0.00001945454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005269198,"about_ca_topic_score_gemma":0.06872891,"domain_scores_codex":[0.9977589,0.0002131787,0.0006062925,0.0006587414,0.0002313135,0.0005316082],"domain_scores_gemma":[0.9991158,0.0001353758,0.0002434783,0.0003632351,0.0000229258,0.0001191728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001482461,0.00008806517,0.9865493,0.0002129343,0.00004970151,0.0000607631,0.00007008746,0.000001980698,0.00001165887,0.0004688019,0.000706712,0.01163175],"study_design_scores_gemma":[0.0009585642,0.0006017538,0.9254813,0.00002134598,0.00001565219,0.00004663804,0.00009698723,0.00004076696,0.00004891983,0.0008632247,0.07148462,0.0003402033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943503,0.00007565314,1.818368e-7,0.001817195,0.0002019907,0.00108052,0.00001490914,0.0001133311,0.05319326],"genre_scores_gemma":[0.9922721,0.0001652834,0.0006845254,0.0001963329,0.00007096342,0.0002163264,0.0001966671,0.00003747106,0.006160364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07077791,"threshold_uncertainty_score":0.999893,"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."}}