{"id":"W7079697908","doi":"10.26108/4rv5-6732","title":"Growing together: enhancing stewardship of American eel/katew in Atlantic Canada/Mi'kma'ki using diverse ways of knowing","year":2022,"lang":"en","type":"article","venue":"AcadiaU-DEV","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stewardship (theology); Bay; Population; Habitat; Traditional knowledge; Distribution (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001871266,0.000234405,0.0001783711,0.0007667734,0.006072918,0.003711357,0.001111814,0.0005680215,0.00471061],"category_scores_gemma":[0.003396964,0.0001501436,0.0002100116,0.0005232827,0.001975249,0.002608115,0.005272591,0.001105838,0.0006567307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003972287,"about_ca_system_score_gemma":0.01249006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2270179,"about_ca_topic_score_gemma":0.5818177,"domain_scores_codex":[0.9988837,0.0004201556,0.0000303156,0.0001464875,0.0002281768,0.0002912179],"domain_scores_gemma":[0.996617,0.0004358745,0.0003250341,0.0002065461,0.0005787799,0.001836654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001012972,0.001005223,0.2610859,0.0002326608,0.00007269471,0.001118715,0.2925878,0.0004345698,0.007704156,0.003330458,0.02729397,0.4050325],"study_design_scores_gemma":[0.00001573152,0.0003514779,0.2008671,0.0002704025,0.0001204242,0.0003438399,0.5687528,0.001724196,0.002366144,0.002453888,0.2226619,0.00007200906],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950401,0.0002590698,0.001633974,0.007487789,0.0000489434,0.00007344759,0.0000599048,0.00008994782,0.03994594],"genre_scores_gemma":[0.9804572,0.0005073621,0.007011269,0.0008623312,0.00001311093,0.00004049302,0.0001185932,0.00002282088,0.0109667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7729821,"threshold_uncertainty_score":0.451393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704527068976579,"score_gpt":0.2272356279026271,"score_spread":0.2001903572128613,"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."}}