{"id":"W2121423652","doi":"10.1111/j.1755-263x.2012.00253.x","title":"From archives to conservation: why historical data are needed to set baselines for marine animals and ecosystems","year":2012,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":316,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"Schmidt Ocean Institute; Smithsonian Institution; National Science Foundation","keywords":"Environmental resource management; Baseline (sea); Ecosystem; Extinction (optical mineralogy); Marine ecosystem; Population; Conservation status; Fisheries management; Marine species; Marine conservation; Geography; Marine protected area; Fishery; Ecology; Environmental science; Biology; Habitat; Fishing","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":[0.0002758437,0.0001236913,0.0001783115,0.00004400171,0.0001135775,0.00001615736,0.0002392255,0.00005751608,0.0003233363],"category_scores_gemma":[0.000331074,0.000118597,0.00001815713,0.0001025219,0.00005964233,0.0001991877,0.0004718829,0.00005172985,0.0001049346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008052716,"about_ca_system_score_gemma":0.000006253717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007107329,"about_ca_topic_score_gemma":0.002782712,"domain_scores_codex":[0.9990351,0.00009351315,0.0002320365,0.0003283292,0.00007277923,0.0002382264],"domain_scores_gemma":[0.9990102,0.0004072607,0.00007732904,0.0003450047,0.000009232243,0.0001509421],"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":[0.00009675059,0.00001269238,0.4173817,0.000006242185,0.000009690931,6.313808e-7,0.0002386214,0.000007256829,0.02488892,0.00003769358,0.5568981,0.0004217351],"study_design_scores_gemma":[0.0002656709,0.00003989636,0.2685526,0.00000617658,0.00001729932,0.000004334528,0.00008062305,0.0009094862,0.000285431,0.00007233184,0.7296205,0.0001456845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7639588,0.0000189987,0.01320291,0.221787,0.0004334963,0.0003774438,0.0001237735,0.00003142812,0.00006619096],"genre_scores_gemma":[0.5101674,0.000007208522,0.04203701,0.4440308,0.00118881,0.0002403118,0.001427465,0.00003196594,0.0008691194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2537915,"threshold_uncertainty_score":0.9995044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05493163276009148,"score_gpt":0.2637170957996174,"score_spread":0.2087854630395259,"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."}}