{"id":"W4405515110","doi":"10.14321/aehm.027.04.52","title":"Inland fisheries research and management for the benefit of all","year":2024,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Fishery; Fisheries management; Fisheries science; Business; Environmental resource management; Fishing; Geography; Environmental planning; Environmental science; 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":[0.00755854,0.0004295799,0.0006211204,0.0006515706,0.003976353,0.00640753,0.00108374,0.003838988,0.01908204],"category_scores_gemma":[0.01334249,0.0001565166,0.0004272586,0.0005742969,0.003236869,0.003967946,0.007462518,0.004286785,0.005611364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671836,"about_ca_system_score_gemma":0.007887181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002022238,"about_ca_topic_score_gemma":0.005517612,"domain_scores_codex":[0.9931056,0.004306501,0.0002192606,0.0004122988,0.001088612,0.0008677525],"domain_scores_gemma":[0.9864371,0.002920163,0.001217072,0.001169598,0.002435504,0.005820609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004482969,0.0002888842,0.00891397,0.0004132341,0.00005506495,0.0006398209,0.01344058,0.000155318,0.002181071,0.0234342,0.6471984,0.3032345],"study_design_scores_gemma":[0.00001919455,0.0001405837,0.007020264,0.001341725,0.00003148595,0.0007841255,0.01779018,0.0001638832,0.0008088644,0.03242434,0.9394377,0.00003759444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01156347,0.01105775,0.002929621,0.8983726,0.005401365,0.00007760336,0.0001126559,0.0001673739,0.07031757],"genre_scores_gemma":[0.4384177,0.04504419,0.02314121,0.3343816,0.01404728,0.0002942242,0.0004572195,0.0003161663,0.1439004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01908204,"threshold_uncertainty_score":0.0638358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07011137902883494,"score_gpt":0.3472424749350285,"score_spread":0.2771310959061936,"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."}}