{"id":"W2001255206","doi":"10.1016/j.tree.2008.12.004","title":"Historical baselines for large marine animals","year":2009,"lang":"en","type":"review","venue":"Trends in Ecology & Evolution","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":352,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Alfred P. Sloan Foundation","keywords":"Overexploitation; Marine ecosystem; Historical ecology; Context (archaeology); Ecology; Abundance (ecology); Geography; Range (aeronautics); Climate change; Ecosystem; Biodiversity; Marine conservation; Environmental resource management; Fishery; Biology; Environmental science; Archaeology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007037678,0.0004292102,0.001603573,0.0002386311,0.0001370347,0.000006874836,0.0003813602,0.0004476146,0.00378731],"category_scores_gemma":[0.0001918901,0.0003856863,0.000446185,0.0007251581,0.00005101775,0.0000750363,0.000603479,0.0003159087,0.0003104777],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005843766,"about_ca_system_score_gemma":0.0000290205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007656256,"about_ca_topic_score_gemma":0.02580375,"domain_scores_codex":[0.9974036,0.0002038199,0.0008251534,0.00072364,0.0001698486,0.000673949],"domain_scores_gemma":[0.9990245,0.0002050123,0.0003636265,0.0003175958,0.00001167829,0.00007765976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001269714,0.000212414,0.01539281,0.0004808941,0.00002221172,0.000006760807,0.000005053893,0.000002377252,4.261179e-8,0.000353748,0.04710042,0.9364105],"study_design_scores_gemma":[0.0002805362,0.0002755009,0.1219912,0.0001311482,0.0002358138,0.00001426567,0.000001149905,0.00005735061,9.667792e-9,0.0003087905,0.8764105,0.0002937131],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005353585,0.9879743,0.00005935696,0.0001844232,0.0004076882,0.0005805908,0.00002875763,0.00006748587,0.01064389],"genre_scores_gemma":[0.000258185,0.9918637,0.001162917,0.00007296035,0.0002440169,0.0004174115,0.0001081797,0.00003619804,0.00583649],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9361169,"threshold_uncertainty_score":0.9998595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04750661044885519,"score_gpt":0.3284518415003967,"score_spread":0.2809452310515415,"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."}}