{"id":"W4416830023","doi":"10.1111/aman.70044","title":"How to Fish With Respect: A Transformation of Human‐Fish Relations in Riverside Amazonia","year":2025,"lang":"en","type":"article","venue":"American Anthropologist","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital","funders":"Fogarty International Center; Connaught Fund; Princeton University; High Meadows Environmental Institute, Princeton University; Wenner-Gren Foundation","keywords":"Commodification; Amazon rainforest; Fish <Actinopterygii>; State (computer science); Normative; Politics; Transformation (genetics)","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001154446,0.0001090876,0.0002240696,0.0001165689,0.0001466145,0.00001252501,0.0001970998,0.00005795879,0.0004528165],"category_scores_gemma":[0.00004808789,0.00009462012,0.00003488245,0.0007470069,0.01197455,0.0001234039,0.00005806563,0.0001315128,0.00002306181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002182519,"about_ca_system_score_gemma":0.00001947792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02734359,"about_ca_topic_score_gemma":0.2739341,"domain_scores_codex":[0.9991515,0.00007359355,0.0001901444,0.0002583079,0.00008833963,0.0002381703],"domain_scores_gemma":[0.9995919,0.00005229708,0.00010526,0.0001963293,0.00001107542,0.00004314296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008586236,0.0002514288,0.9688407,0.000006012977,0.00001383328,0.00001390851,0.0007042557,0.0001353603,0.003929588,0.001672674,0.01982201,0.004524382],"study_design_scores_gemma":[0.000347682,0.0008146126,0.9766337,0.00001300818,0.00001923938,0.000002568011,0.01636414,0.00001686377,0.001687904,0.00007093087,0.003905405,0.0001239431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406573,0.000004547019,0.0007711439,0.04541566,0.00006011921,0.0002977592,0.0000356259,0.00003539918,0.01272246],"genre_scores_gemma":[0.997419,0.00002500969,0.0008432362,0.0008769879,0.000005867089,0.00002481665,0.0000131511,0.000004935581,0.0007869702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2465905,"threshold_uncertainty_score":0.9907143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320505039036078,"score_gpt":0.2858250862740718,"score_spread":0.272620035883711,"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."}}