{"id":"W2098166174","doi":"10.1093/icesjms/fsq181","title":"Regional-scale changes in diatom distribution in the Humboldt upwelling system as revealed by remote sensing: implications for fisheries","year":2010,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"Institut national des sciences de l'Univers","keywords":"Upwelling; Diatom; Oceanography; Zooplankton; Engraulis; Anchovy; Fishing; Population; Environmental science; Ichthyoplankton; Fishery; Geography; Geology; Biology; Abundance (ecology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002951712,0.0001939813,0.0001331727,0.0005094158,0.0001626385,0.0004853244,0.0001057306,0.0001201301,0.0006782302],"category_scores_gemma":[0.0007565478,0.00009522703,0.0001844885,0.0004497649,0.0002048111,0.0002426579,0.0002910638,0.0001423202,0.0001166437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004093268,"about_ca_system_score_gemma":0.0002492544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02293516,"about_ca_topic_score_gemma":0.03819902,"domain_scores_codex":[0.9999385,0.00001670622,0.00000438774,0.00001939945,0.00001107719,0.000009946649],"domain_scores_gemma":[0.9997882,0.00004656897,0.00006744792,0.00002168024,0.00004599935,0.00003007619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001005255,0.00003361267,0.9736694,0.00001925246,0.00009500924,0.0001333313,0.0002113946,0.002237282,0.006690967,0.00006832838,0.0002576041,0.01648336],"study_design_scores_gemma":[0.000002650001,0.000007347158,0.9980046,0.00000404102,0.000007120138,0.00001519544,0.0001064309,0.001392423,0.0003058764,0.00002583315,0.0001261438,0.000002298719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991678,0.00008735464,0.00011978,0.00004275374,0.000002207558,0.00000375003,0.0001486396,0.000006732194,0.0004209596],"genre_scores_gemma":[0.9992053,0.00009704949,0.0003542219,0.00001537776,0.000004304026,0.000003126212,0.0001673638,0.000002676167,0.0001505953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02293516,"threshold_uncertainty_score":0.04560333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904480337085302,"score_gpt":0.2778695579852998,"score_spread":0.2588247546144468,"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."}}