{"id":"W4380874639","doi":"10.1002/9781119511847.ch10","title":"Uncertainty in Fishery Systems","year":2023,"lang":"en","type":"other","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Fishing; Stock (firearms); Fish stock; Fishery; Stock assessment; Fisheries management; Fish <Actinopterygii>; Variety (cybernetics); Environmental resource management; Economics; Geography; Computer 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":[0.00359472,0.0007189257,0.0008387895,0.001053906,0.00149355,0.005101766,0.001249456,0.002124598,0.007814214],"category_scores_gemma":[0.01671753,0.0004112911,0.0006560276,0.001378703,0.002759494,0.005634172,0.002916578,0.001926252,0.0009657784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003347727,"about_ca_system_score_gemma":0.002119441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01485044,"about_ca_topic_score_gemma":0.005102125,"domain_scores_codex":[0.9969479,0.0008785938,0.000211774,0.0004993222,0.001186291,0.0002760129],"domain_scores_gemma":[0.9956768,0.002708607,0.0005569073,0.0003185961,0.000574483,0.00016464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002953317,0.00001919741,0.004290866,0.0001204119,0.00007642123,0.0002789237,0.0004864087,0.106989,0.0002026324,0.8439642,0.006754144,0.03678839],"study_design_scores_gemma":[0.000005980341,0.00001754779,0.001319049,0.00009746527,0.00001650942,0.00009350716,0.0002609627,0.05481256,0.00009669342,0.9189197,0.02432778,0.00003228111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07749602,0.01848756,0.5509741,0.02779311,0.0009862266,0.0002647857,0.003602915,0.0004940979,0.3199011],"genre_scores_gemma":[0.9423794,0.008261236,0.03284767,0.001001827,0.0006020391,0.0001788151,0.0007932167,0.00006998307,0.01386582],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01485044,"threshold_uncertainty_score":0.02952802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843956696485859,"score_gpt":0.2481091257535681,"score_spread":0.2296695587887095,"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."}}