{"id":"W2775900195","doi":"10.1002/lob.10216","title":"William (Bill) T. Peterson (1942–2017)","year":2017,"lang":"en","type":"article","venue":"Limnology and Oceanography Bulletin","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northwest Fisheries Science Center; National Marine Fisheries Service; National Oceanic and Atmospheric Administration; University of Cape Town","keywords":"Battle; Officer; State (computer science); Library science; Oceanography; Management; Geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002080909,0.0001407239,0.0001574009,0.00005176759,0.0007926659,0.0001004737,0.0004687649,0.0001458518,0.008293393],"category_scores_gemma":[0.00007024128,0.0001065067,0.00007371549,0.00005365941,0.001302952,0.00009953183,0.0005825491,0.0002474996,0.0004713546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007957065,"about_ca_system_score_gemma":0.000002830134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000152886,"about_ca_topic_score_gemma":0.0000529152,"domain_scores_codex":[0.9989061,0.00005067411,0.0001258617,0.0003695941,0.0001480443,0.0003997558],"domain_scores_gemma":[0.9991909,0.00004066986,0.0000781592,0.0005567981,0.000006701117,0.0001268288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006143974,0.00004503188,0.9242182,0.00000796547,0.00002195766,0.000048977,0.0002383912,2.639345e-7,0.0000753792,0.0001683984,0.04980994,0.02530406],"study_design_scores_gemma":[0.0002879575,0.0001392854,0.2992817,0.000002495229,0.000006943635,0.00002340097,0.00006440535,0.000008653632,0.00006780324,0.0005974323,0.6993849,0.0001350499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5296966,0.0000488309,0.00002464947,0.007025766,0.000211495,0.0001453197,0.000003939034,0.000049951,0.4627935],"genre_scores_gemma":[0.9872821,0.0006189544,0.0006850501,0.0007045583,0.00007079779,0.00001382231,0.000005294323,0.00001317507,0.01060623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6495749,"threshold_uncertainty_score":0.9926131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402657220707062,"score_gpt":0.2353228131320527,"score_spread":0.221296240924982,"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."}}