{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003247882,0.0001994237,0.0003642634,0.0003319833,0.00105784,0.0001552557,0.0008138724,0.0001799561,0.001105721],"category_scores_gemma":[0.0004605709,0.0001565828,0.00008722885,0.00218101,0.008422175,0.0002742566,0.001382675,0.0010667,0.000005160931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557005,"about_ca_system_score_gemma":0.00009802836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001964823,"about_ca_topic_score_gemma":0.002811289,"domain_scores_codex":[0.9943461,0.001635926,0.0004856502,0.0006690364,0.001790068,0.001073185],"domain_scores_gemma":[0.9974579,0.001009902,0.0001019959,0.0007363154,0.0002983228,0.0003955195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006469493,0.0001751839,0.8045682,0.00009145904,0.00004829333,0.00000400758,0.0005362548,0.00001191197,0.1868512,0.0001243911,0.0003830169,0.006559087],"study_design_scores_gemma":[0.001293775,0.002135231,0.9438555,0.000122587,0.0000184834,0.00003213933,0.001670517,0.03027765,0.01270199,0.000603741,0.006967208,0.0003211911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912056,0.00006408965,0.00008836301,0.0002220724,0.00003483807,0.0009861568,0.00002272885,0.00001508098,0.007361102],"genre_scores_gemma":[0.9984779,0.0002958348,0.001009695,0.00001918571,0.00006651428,0.00002882285,0.000009096593,0.00002808557,0.00006489738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1741492,"threshold_uncertainty_score":0.9998074,"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."}}