{"id":"W4391611977","doi":"10.1002/fsh.11062","title":"In Memoriam: Richard S. Brown","year":2024,"lang":"en","type":"article","venue":"Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Globe; Fish <Actinopterygii>; Power (physics); Fishery; History; Management; Ecology; Psychology; Biology","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":[0.001680939,0.001001589,0.0008512062,0.0008496495,0.002561458,0.003357583,0.001265464,0.002429404,0.1295587],"category_scores_gemma":[0.00921812,0.0003684746,0.0005092951,0.0003606215,0.00081693,0.00187636,0.002305931,0.005713936,0.09536271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001933655,"about_ca_system_score_gemma":0.002752183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005964641,"about_ca_topic_score_gemma":0.01069338,"domain_scores_codex":[0.9987953,0.0001893297,0.00008398538,0.0002685887,0.000482434,0.0001803416],"domain_scores_gemma":[0.9960954,0.0003754448,0.0001814921,0.0001082262,0.00220139,0.001038142],"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":[0.000005040687,0.000001909578,0.00001794405,0.000007322017,5.512034e-7,0.00002131618,0.00001300563,0.000004211382,0.00001233679,0.0001467712,0.9970978,0.002671757],"study_design_scores_gemma":[0.000003195997,0.000007169922,0.0001260047,0.00005233227,0.000001304994,0.00007438328,0.00008283119,0.00001497677,0.00003482306,0.0001452854,0.9994534,0.000004278764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005744946,0.01034029,0.0006246282,0.3194611,0.5934345,0.0001038458,0.0007575572,0.0005040943,0.07419956],"genre_scores_gemma":[0.006131087,0.006095058,0.0005215281,0.08616154,0.07962824,0.0001392486,0.0006130782,0.0003386465,0.8203715],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1295587,"threshold_uncertainty_score":0.4334171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009133123524862691,"score_gpt":0.2124783893017564,"score_spread":0.2033452657768937,"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."}}