{"id":"W2141732275","doi":"10.1073/pnas.1316072111","title":"Archaeological data provide alternative hypotheses on Pacific herring ( <i>Clupea pallasii</i> ) distribution, abundance, and variability","year":2014,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lakehead University; University of Alberta; Simon Fraser University; University of British Columbia","funders":"Hakai Institute","keywords":"Herring; Pacific herring; Clupea; Abundance (ecology); Taxon; Geography; Holocene; Ecology; Fish <Actinopterygii>; Archaeology; Fishery; Biology","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":[0.01030341,0.000790793,0.0006282724,0.002295761,0.001139614,0.003755904,0.00166817,0.001174285,0.002108454],"category_scores_gemma":[0.02211994,0.0006664828,0.0007345176,0.002836711,0.004032759,0.002215317,0.002112459,0.001083538,0.0004208595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008524701,"about_ca_system_score_gemma":0.0008154386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051039,"about_ca_topic_score_gemma":0.01884115,"domain_scores_codex":[0.994462,0.001846181,0.0008182743,0.001694335,0.0007207458,0.000458442],"domain_scores_gemma":[0.9761091,0.01204691,0.006382825,0.002974935,0.001860825,0.0006252989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002495118,0.00004406858,0.9831734,0.0001492135,0.0003843161,0.0001964803,0.001067687,0.001308836,0.001155194,0.001987897,0.0004005202,0.009882909],"study_design_scores_gemma":[0.00005990821,0.0001500862,0.9758465,0.000136092,0.0002704304,0.0002980274,0.004126337,0.0085922,0.0008387868,0.006865364,0.002764679,0.00005156128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830709,0.0007218769,0.008146217,0.001116961,0.00003628503,0.00004108881,0.001364767,0.00004964686,0.00545221],"genre_scores_gemma":[0.9950358,0.0002042088,0.002626994,0.0003729848,0.00004909659,0.00002729246,0.001509001,0.000009763125,0.0001648554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01051039,"threshold_uncertainty_score":0.05449027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04122431290125313,"score_gpt":0.2851011282531603,"score_spread":0.2438768153519071,"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."}}