{"id":"W2795849810","doi":"10.1016/j.dsr.2018.03.013","title":"An intercomparison of the taxonomic and size composition of tropical macrozooplankton and micronekton collected using three sampling gears","year":2018,"lang":"en","type":"article","venue":"Deep Sea Research Part I Oceanographic Research Papers","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Hokkaido University","keywords":"Mesopelagic zone; Pelagic zone; Sampling (signal processing); Oceanography; Fishery; Composition (language); Environmental science; Biology; Geology; Engineering","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":[0.0008642438,0.0003452037,0.0003274784,0.001193393,0.0006412016,0.0005995735,0.0003718306,0.0004399792,0.0007909163],"category_scores_gemma":[0.001469649,0.0002703933,0.0005536276,0.001008656,0.0002563484,0.0006521123,0.0009976722,0.0002139769,0.0003091962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004624177,"about_ca_system_score_gemma":0.0003403631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01898547,"about_ca_topic_score_gemma":0.03176596,"domain_scores_codex":[0.9994808,0.0000821948,0.00004503302,0.000216928,0.0000926384,0.00008243816],"domain_scores_gemma":[0.9991689,0.0001807748,0.0001194364,0.0001046447,0.000347466,0.00007879299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001000173,0.00009890211,0.9312934,0.00005889337,0.0002937368,0.00008363533,0.00238193,0.0001896193,0.04946617,0.00005428275,0.0001736503,0.01490578],"study_design_scores_gemma":[0.000003656488,0.00004955027,0.9983091,0.000002818722,0.00004206448,0.00002938182,0.0003953952,0.00009538494,0.0009189208,0.000008807772,0.0001418531,0.000003075128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989391,0.00007690889,0.0002972728,0.000006570106,0.000008068299,0.00001038868,0.0002857741,0.000004005637,0.0003719396],"genre_scores_gemma":[0.9968137,0.0001086003,0.00106347,0.00003788987,0.000008467421,0.00004369465,0.00137311,0.000007904896,0.0005431345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01898547,"threshold_uncertainty_score":0.03774995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08099439674291017,"score_gpt":0.3549764584794132,"score_spread":0.273982061736503,"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."}}