{"id":"W2114144833","doi":"10.1016/s0304-3800(00)00263-5","title":"An adaptive fuzzy expert system for predicting structure, dynamics and distribution of herring shoals","year":2000,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Herring; Stock assessment; Ecology; Shoal; Fuzzy logic; Weighting; Artificial intelligence; Fishery; Fishing; Oceanography; Fish <Actinopterygii>; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001819437,0.00008288099,0.0001415673,0.000007471999,0.0001451023,0.00002178345,0.0001138098,0.00009055232,0.0006441127],"category_scores_gemma":[0.00001294071,0.00006719095,0.00002740125,0.00006345067,0.00009248258,0.0001498555,0.00006179092,0.00009199327,0.000001363335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147624,"about_ca_system_score_gemma":0.000003481011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002108926,"about_ca_topic_score_gemma":0.00006235713,"domain_scores_codex":[0.999176,0.00003942858,0.0001817407,0.0002447722,0.0001348777,0.0002232383],"domain_scores_gemma":[0.999694,0.00007861744,0.00003759937,0.0001002031,0.000009966622,0.00007962818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003712249,0.00013078,0.07754553,0.0000590024,0.00001961445,0.000005839902,0.0003630981,0.8025119,0.0007665823,0.003460032,0.00002048655,0.1147459],"study_design_scores_gemma":[0.0001340523,0.000287703,0.003840457,0.000005953802,0.000003598319,0.000002285772,0.0002566822,0.9942823,0.0001730877,0.0008514631,0.00008509261,0.00007732683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9023922,0.000007500787,0.08949001,0.00001295138,0.00001844862,0.0002433021,0.00004987279,0.00002899456,0.007756704],"genre_scores_gemma":[0.9954517,0.00001934698,0.004349721,0.000009676785,0.0000338607,0.00002201778,0.00003912488,0.000006131571,0.00006840944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1917704,"threshold_uncertainty_score":0.7052583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490854266211431,"score_gpt":0.2494495254156585,"score_spread":0.2245409827535442,"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."}}