{"id":"W2943847014","doi":"10.7717/peerj.6878","title":"Ecosystem effects of fishing &amp; El Niño at the Galápagos Marine Reserve","year":2019,"lang":"en","type":"article","venue":"PeerJ","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada; Dalhousie University","funders":"Mohammed bin Zayed Species Conservation Fund; Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Overfishing; Archipelago; Ecosystem; Marine ecosystem; Fishery; Fishing; Ecology; Marine reserve; Geography; Environmental science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007805653,0.0003721874,0.0002039272,0.0006086511,0.0004026704,0.001277226,0.0006676434,0.0005351056,0.0024537],"category_scores_gemma":[0.001768668,0.0002145068,0.0005365591,0.000547496,0.0006043458,0.0006600677,0.0009482671,0.000717297,0.0001663119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002164197,"about_ca_system_score_gemma":0.0006919826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1030545,"about_ca_topic_score_gemma":0.104997,"domain_scores_codex":[0.999699,0.0001236285,0.00001808608,0.0000542186,0.00004119929,0.00006384802],"domain_scores_gemma":[0.9991286,0.0002284188,0.0001773836,0.00007495339,0.0001009184,0.0002898053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005801803,0.0003949167,0.8361424,0.000102806,0.0008237562,0.0009825341,0.0002409653,0.1449804,0.001828335,0.002054465,0.004957968,0.00691136],"study_design_scores_gemma":[0.00008693569,0.0002365482,0.867876,0.00003816988,0.0001412818,0.0001470437,0.001006808,0.1264632,0.0003629669,0.001326357,0.002261454,0.00005340111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959728,0.00009658279,0.00008569729,0.0003087135,0.00001916671,0.000006442216,0.001545258,0.00003259587,0.001932735],"genre_scores_gemma":[0.9987484,0.00006628284,0.00006709699,0.00006294024,0.000005066246,0.000006903571,0.0006130969,0.000006182104,0.0004240237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1030545,"threshold_uncertainty_score":0.2049094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028734553091204,"score_gpt":0.2406866581702038,"score_spread":0.2303993126392917,"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."}}