{"id":"W2620197494","doi":"10.1016/j.marpol.2017.05.025","title":"Mitigating cetacean bycatch in coastal Ecuador: Governance challenges for small-scale fisheries","year":2017,"lang":"en","type":"article","venue":"Marine Policy","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver Aquarium; University of British Columbia","funders":"","keywords":"Bycatch; Fishery; Fishing; Corporate governance; Business; Marine protected area; Stakeholder; Environmental planning; Scale (ratio); Marine conservation; Environmental resource management; Geography; Political science; Ecology; Habitat; Environmental science","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":[0.0002365819,0.0002110167,0.0002816727,0.00001541464,0.0003753002,0.00008103059,0.0006207233,0.0000556792,0.0004800567],"category_scores_gemma":[0.000332258,0.0002085847,0.0000857515,0.00006444582,0.0002511896,0.0002401901,0.002507776,0.0001251615,0.00008793746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001670228,"about_ca_system_score_gemma":0.00001587089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08414979,"about_ca_topic_score_gemma":0.4223624,"domain_scores_codex":[0.9986326,0.00002385184,0.000247104,0.0004096862,0.0001780542,0.0005087149],"domain_scores_gemma":[0.9990882,0.00005882848,0.0002092868,0.0005425304,0.000009123314,0.00009207879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002414394,0.000061527,0.6868508,0.00008179528,0.000009721382,0.000006884631,0.0003231312,0.000005480111,0.00005165896,0.0007306984,0.001450163,0.310404],"study_design_scores_gemma":[0.0004899389,0.00009842122,0.9107304,0.00002227906,0.00000593651,0.000003483066,0.0000928264,0.0001330632,0.0002663446,0.001523646,0.08641403,0.0002196661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6842409,0.00008898539,0.00000353814,0.01265463,0.00006288257,0.0003321574,0.00002936125,0.00003438964,0.3025532],"genre_scores_gemma":[0.9908672,0.001387383,0.00209807,0.0004227799,0.0002651465,0.0001105093,0.000005740884,0.00003113035,0.004812062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3382127,"threshold_uncertainty_score":0.9219489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501383282248628,"score_gpt":0.2690129500717027,"score_spread":0.2339991172492164,"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."}}