{"id":"W2216650072","doi":"10.1007/s10750-015-2576-7","title":"The human dimension of the conflict between fishermen and South American sea lions in southern Brazil","year":2015,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Fishing; Geography; Fishery; Wildlife tourism; Wildlife; Marine protected area; Human–wildlife conflict; Tourism; Perception; Marine conservation; Socioeconomics; Wildlife conservation; Ecology; Habitat; Psychology; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003645007,0.00009678004,0.0001607621,0.000006127577,0.0001612066,0.000009765634,0.0002666334,0.00003035599,0.00004283748],"category_scores_gemma":[0.00006484742,0.00004912701,0.00003214223,0.000178075,0.000769958,0.00002314171,0.000841216,0.0001125918,0.00004857118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004879254,"about_ca_system_score_gemma":0.000004941893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007257584,"about_ca_topic_score_gemma":0.00469528,"domain_scores_codex":[0.9992304,0.0001295042,0.00016914,0.0001779057,0.0001019509,0.000191124],"domain_scores_gemma":[0.99952,0.0000779235,0.0001209679,0.0002322993,0.000005138445,0.00004366911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003597178,0.0000089725,0.9957443,0.000001315307,0.000007130346,3.079788e-7,0.0009985926,0.00001392145,0.000562477,0.00001055775,0.000843851,0.001804972],"study_design_scores_gemma":[0.0001763082,0.00009600011,0.9911246,0.000007093849,0.000009167034,6.255478e-7,0.0007811729,0.00002873176,0.00009490218,0.0001069594,0.007497459,0.00007695107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928875,0.00007158606,4.62696e-7,0.0003403375,0.00001779976,0.0001793943,0.00001489705,0.0000116826,0.006476354],"genre_scores_gemma":[0.9993978,0.00001809556,0.00001815983,0.0001525894,0.00001257552,0.000007574755,0.000002425488,0.000005810663,0.0003849816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006653608,"threshold_uncertainty_score":0.9993532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03091574018205611,"score_gpt":0.2587557797673405,"score_spread":0.2278400395852844,"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."}}