{"id":"W4392057232","doi":"10.1080/13549839.2024.2320820","title":"Adaptation through knowledge coexistence: insights for environmental and sea lamprey stewardship","year":2024,"lang":"en","type":"article","venue":"Local Environment","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada; Assembly of First Nations; University of Ottawa","funders":"Great Lakes Fishery Commission","keywords":"Stewardship (theology); Lamprey; Adaptation (eye); Environmental stewardship; Environmental resource management; Environmental change; Climate change; Environmental planning; Geography; Ecology; Fishery; Biology; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008016247,0.0003928282,0.0003509576,0.00247163,0.01000997,0.011947,0.001656677,0.002949484,0.003760877],"category_scores_gemma":[0.005902154,0.0003057536,0.0003843804,0.001512657,0.02867279,0.01203463,0.01169435,0.002464739,0.0002037255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006395843,"about_ca_system_score_gemma":0.01019103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004781,"about_ca_topic_score_gemma":0.01381115,"domain_scores_codex":[0.9926808,0.005297213,0.0001187923,0.0003574683,0.0004290378,0.001116532],"domain_scores_gemma":[0.9931135,0.004405909,0.000577105,0.0003401551,0.0004966189,0.001066645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003053101,0.0001912282,0.00930932,0.000183889,0.00001875267,0.00181452,0.7500741,0.0002659108,0.0008155964,0.205478,0.001564852,0.03025317],"study_design_scores_gemma":[0.000005763441,0.00004302412,0.004518474,0.0002358885,0.00001181373,0.0003655851,0.8962544,0.000645124,0.0002998157,0.06251272,0.03509173,0.00001558687],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6929557,0.002235374,0.01349171,0.04511213,0.0001177847,0.0001340653,0.00003084529,0.00004309242,0.2458793],"genre_scores_gemma":[0.9950835,0.0003868826,0.001616294,0.0005642991,0.0000112095,0.00002720157,0.000006994488,0.000006866637,0.002296872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.011947,"threshold_uncertainty_score":0.04640532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751197283267616,"score_gpt":0.2584833234638842,"score_spread":0.230971350631208,"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."}}