{"id":"W1991663779","doi":"10.1016/j.palaeo.2005.03.041","title":"Late Holocene paleofish populations in Effingham Inlet, British Columbia, Canada","year":2005,"lang":"en","type":"article","venue":"Palaeogeography Palaeoclimatology Palaeoecology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Herzberg Institute of Astrophysics; Geological Survey of Canada; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anchovy; Oceanography; Abundance (ecology); Trophic level; Herring; Population; Holocene; Climate change; Physical geography; Environmental science; Geology; Geography; Ecology; Fishery; Fish <Actinopterygii>; Biology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004990919,0.0002726265,0.0004020768,0.002547098,0.005354484,0.001406393,0.001231085,0.0004364486,0.003367041],"category_scores_gemma":[0.001203545,0.000372708,0.000200324,0.004504277,0.0008461802,0.000505571,0.0008868762,0.0006236578,0.0003460574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01930794,"about_ca_system_score_gemma":0.01820395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972484,"about_ca_topic_score_gemma":0.999598,"domain_scores_codex":[0.9996011,0.00003713353,0.00002728564,0.00007808664,0.00008077278,0.0001756078],"domain_scores_gemma":[0.9986563,0.00008041403,0.000112567,0.00003639605,0.0007655075,0.0003487681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001992052,0.00008509048,0.9345523,0.0001037173,0.0000954834,0.0004340891,0.01485616,0.0003872525,0.001408814,0.0006622538,0.005314584,0.04190096],"study_design_scores_gemma":[0.000007053033,0.000008932593,0.9909273,0.00006063681,0.00001388098,0.00007042417,0.006336453,0.0001337963,0.00008646235,0.00003670748,0.002307991,0.00001035018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945014,0.0006870859,0.00008330895,0.0002320982,0.00001158169,0.00002865991,0.001416696,0.000009876445,0.003029269],"genre_scores_gemma":[0.9907675,0.0007589622,0.0002993083,0.0001258679,0.000004226973,0.0000237255,0.0008688784,0.00001278611,0.007138639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01930794,"threshold_uncertainty_score":0.1400896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045072073601469,"score_gpt":0.2278781403429117,"score_spread":0.217427419606897,"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."}}