{"id":"W2376626681","doi":"","title":"Spatial and Temporal Distribution of Zooplankton in the Jiaozhou Bay","year":2010,"lang":"en","type":"article","venue":"Haiyang kexue jinzhan","topic":"Environmental Changes in China","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Zooplankton; Bay; Abundance (ecology); Biomass (ecology); Plankton; Temperate climate; Spatial distribution; Seasonality; Ecology; Latitude; Environmental science; Spatial variability; Oceanography; Biology; Geography; Geology","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":[0.0001697153,0.0002321844,0.0001948349,0.001340032,0.0004651787,0.0003744396,0.0001672191,0.0001712247,0.0005772499],"category_scores_gemma":[0.0002451868,0.0001895093,0.0001841287,0.001475089,0.0002458725,0.0002187285,0.0002792306,0.0001152374,0.00006501205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092231,"about_ca_system_score_gemma":0.000588124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1621262,"about_ca_topic_score_gemma":0.3110686,"domain_scores_codex":[0.9998752,0.000006000423,0.00001121467,0.0000396111,0.00003156281,0.0000364297],"domain_scores_gemma":[0.9996947,0.00002296227,0.0001264345,0.00001061398,0.00006070652,0.00008464238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001005209,0.00001795994,0.9865389,0.00006560793,0.00005260988,0.0003737855,0.001102821,0.0002908761,0.006020411,0.0000475093,0.0001844958,0.005204483],"study_design_scores_gemma":[9.854709e-7,0.000008627397,0.9994343,0.000002568212,0.000007227018,0.00002137373,0.0002192295,0.0001112494,0.00005810437,0.000001781397,0.0001318999,0.000002628316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994634,0.0001090813,0.00003165393,0.00001082625,0.000001385056,0.000002443307,0.000211636,0.000002763865,0.0001668149],"genre_scores_gemma":[0.9989311,0.0001602373,0.0001059583,0.000006818028,0.000004232562,0.000006776424,0.0004331933,8.993512e-7,0.0003506746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621262,"threshold_uncertainty_score":0.3223651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00745369723883499,"score_gpt":0.2193115055977754,"score_spread":0.2118578083589404,"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."}}