{"id":"W2186400157","doi":"","title":"CHARACTERISTICS OF SEASONAL VARIATION IN DIURNAL VERTICAL MIGRATION AND AGGREGATION OF ANTARCTIC KRILL (EUPHAUSIA SUPERBA) IN THE SCOTIA SEA, USING JAPANESE FISHERY DATA","year":2005,"lang":"en","type":"article","venue":"CCAMLR science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Euphausia; Krill; Antarctic krill; Trawling; Oceanography; Shetland; Diel vertical migration; Euphausiacea; Environmental science; Seasonality; Nova scotia; Fishery; Geography; Fishing; Biology; Ecology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001678735,0.0001303409,0.00008212292,0.0005822246,0.0001749654,0.0001935096,0.00007937914,0.00008906257,0.000359332],"category_scores_gemma":[0.0004855666,0.0001089713,0.0001235902,0.0005218521,0.0001466887,0.00009164838,0.0001525241,0.00007140968,0.00007847448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003534195,"about_ca_system_score_gemma":0.0002496106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1342776,"about_ca_topic_score_gemma":0.3878967,"domain_scores_codex":[0.9999368,0.000008654848,0.000007385903,0.00001570632,0.00001264771,0.00001877741],"domain_scores_gemma":[0.9995437,0.00006107896,0.0001444375,0.00002534492,0.000109633,0.0001157428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004973784,0.000004921408,0.9946153,0.00001024775,0.00002218277,0.00005648531,0.0002534849,0.00008235385,0.003030966,0.000006631263,0.00007264216,0.001795027],"study_design_scores_gemma":[3.293204e-7,0.000005281003,0.9998345,6.354806e-7,0.000002062011,0.00001503863,0.00004577422,0.00003472516,0.00002891022,7.381701e-7,0.00003127251,6.184422e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995752,0.00003321658,0.00002346802,0.000002873609,8.768486e-7,0.000001554467,0.000213494,0.000001373984,0.0001480256],"genre_scores_gemma":[0.9992112,0.00004493024,0.00006473232,0.000004545573,0.00000128942,0.000003049978,0.0005227149,0.000001020902,0.0001463499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1342776,"threshold_uncertainty_score":0.266992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811925984886897,"score_gpt":0.2756728503189656,"score_spread":0.2475535904700966,"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."}}