{"id":"W2173191987","doi":"10.2993/0278-0771(2005)25[279:rocnob]2.0.co;2","title":"RICHNESS OF COMMON NAMES OF BRAZILIAN MARINE FISHES AND ITS EFFECT ON CATCH STATISTICS","year":2005,"lang":"en","type":"article","venue":"Journal of Ethnobiology","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Species richness; Pelagic zone; Geography; Demersal zone; Fishery; Ecology; 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":[0.003011541,0.0003435136,0.0006086485,0.002199707,0.0006281126,0.0009776503,0.000484501,0.000302991,0.001779764],"category_scores_gemma":[0.03493548,0.0004004696,0.0007411887,0.002434303,0.001242981,0.000887909,0.001254504,0.0004917352,0.0002040451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006074816,"about_ca_system_score_gemma":0.0004792275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02986901,"about_ca_topic_score_gemma":0.03783534,"domain_scores_codex":[0.9958854,0.001367114,0.0005253765,0.0009003373,0.0009825033,0.0003392029],"domain_scores_gemma":[0.9511176,0.02703553,0.01461936,0.002841609,0.002432657,0.001953342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003595305,0.000007950397,0.9950901,0.00002162866,0.00007215212,0.00009706251,0.0004393741,0.0001211001,0.0001537973,0.00007538257,0.0001146775,0.003770709],"study_design_scores_gemma":[0.000001791222,0.00003667361,0.9983499,0.00001398564,0.00003408282,0.0001860104,0.0004612179,0.0004627075,0.00005018754,0.00007412069,0.0003232399,0.000006111458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966801,0.0005269089,0.0003201917,0.0002648234,0.00001203838,0.000008308514,0.0006991004,0.00002152442,0.001466982],"genre_scores_gemma":[0.9992518,0.000182251,0.0001224629,0.00001351177,0.000007888595,0.000004754762,0.000289153,0.00000793021,0.0001202863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02986901,"threshold_uncertainty_score":0.05939031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007028770824383244,"score_gpt":0.2610899997574528,"score_spread":0.2540612289330696,"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."}}