{"id":"W4285412629","doi":"10.1139/facets-2021-0136","title":"Which fish is this? Fishers know more than 100 fish species in megadiverse tropical rivers","year":2022,"lang":"en","type":"article","venue":"FACETS","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Academies of Sciences, Engineering, and Medicine; United States Agency for International Development","keywords":"Abundance (ecology); Fishery; Geography; Amazon rainforest; Habitat; Diversity of fish; Ecology; Fish <Actinopterygii>; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008720076,0.0001456599,0.000277908,0.0006957366,0.0007305618,0.0005077629,0.0002570873,0.0003126579,0.001772681],"category_scores_gemma":[0.003853088,0.0002148965,0.0001752172,0.0004937153,0.0008008021,0.001018804,0.0009470789,0.0003271661,0.00009960704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000508446,"about_ca_system_score_gemma":0.0004506249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05537717,"about_ca_topic_score_gemma":0.1262398,"domain_scores_codex":[0.9996368,0.00009845122,0.00003890274,0.00007055477,0.00007573452,0.00007956575],"domain_scores_gemma":[0.9980088,0.0008244552,0.0007081143,0.00008721512,0.000163122,0.0002083483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004261826,0.00003533071,0.9484873,0.00007173225,0.00002468693,0.0001928937,0.0372086,0.00004372744,0.0009931263,0.00009312024,0.0001453799,0.01266138],"study_design_scores_gemma":[0.00000316795,0.00003657808,0.9441754,0.00009708921,0.00001863192,0.000265406,0.05422853,0.0001475617,0.0001073472,0.0001110505,0.0007985259,0.00001066512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992399,0.0001470074,0.0000349584,0.0001114957,0.000001169983,0.000001990573,0.00002078474,4.218138e-7,0.0004422471],"genre_scores_gemma":[0.9995176,0.0002320205,0.00005973601,0.00004538105,0.000001801074,0.000003096486,0.00002164453,4.127191e-7,0.0001182769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05537717,"threshold_uncertainty_score":0.1101097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956397541650289,"score_gpt":0.2391972859516752,"score_spread":0.2196333105351723,"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."}}