{"id":"W4246648500","doi":"10.1002/9780470015902.a0003252.pub2","title":"Fisheries Management","year":2007,"lang":"en","type":"other","venue":"Encyclopedia of Life Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fishing; Fishery; Fisheries management; Business; Software deployment; Fisheries science; Government (linguistics); Environmental resource management; Computer 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":[0.001015245,0.0005353489,0.0003061391,0.002704528,0.001390671,0.002103418,0.001160278,0.0005737235,0.211164],"category_scores_gemma":[0.00179248,0.0001517619,0.0003517381,0.002014086,0.0002254755,0.0008402614,0.001453246,0.0007647944,0.09232857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574219,"about_ca_system_score_gemma":0.003568772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01644339,"about_ca_topic_score_gemma":0.02024302,"domain_scores_codex":[0.9992074,0.00005588114,0.00006703078,0.0001220412,0.0004298777,0.0001177692],"domain_scores_gemma":[0.9987226,0.00004527923,0.0000658321,0.0001175076,0.0008947031,0.0001539947],"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":[0.0000332749,0.00006721145,0.002498759,0.0001254872,0.000009454991,0.00008583147,0.00006068071,0.0002944665,0.0005062403,0.007144592,0.5914394,0.3977346],"study_design_scores_gemma":[0.000007304006,0.00001602531,0.004507649,0.0001140785,0.000003720261,0.00004593872,0.00006688725,0.0002351379,0.0002055013,0.001136279,0.9936553,0.00000614335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004096259,0.001954751,0.002995811,0.004623611,0.001916883,0.0005383153,0.01816793,0.001154602,0.9645519],"genre_scores_gemma":[0.01982094,0.002144712,0.004811297,0.001805682,0.0003880958,0.0002866609,0.02558035,0.0002180907,0.9449442],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.211164,"threshold_uncertainty_score":0.706414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165891601847554,"score_gpt":0.2612152756506929,"score_spread":0.2446261154659375,"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."}}