{"id":"W4393633435","doi":"10.5281/zenodo.7150825","title":"NOAA COPEPOD zooplankton biomass","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Copepod; Zooplankton; Biomass (ecology); Environmental science; Fishery; Oceanography; Biology; Crustacean; 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":[0.0005716493,0.001557492,0.001173975,0.002874461,0.0004624083,0.001721024,0.001501368,0.0008985342,0.0372202],"category_scores_gemma":[0.002298063,0.0005660591,0.0008316007,0.006759268,0.0002084531,0.0008884489,0.001090906,0.0009725398,0.04649721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009030096,"about_ca_system_score_gemma":0.00194592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05233788,"about_ca_topic_score_gemma":0.06531002,"domain_scores_codex":[0.9992771,0.00006055801,0.00008751997,0.0002260572,0.0002439794,0.0001047906],"domain_scores_gemma":[0.9986824,0.0001522144,0.0002083114,0.0002096933,0.0005772545,0.0001700589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006415818,0.00001416261,0.002754871,0.0006117496,0.00007056558,0.00002091135,0.00002184905,0.0005065567,0.0002029071,0.0005223117,0.992671,0.002539004],"study_design_scores_gemma":[0.0001650256,0.00001612041,0.02138031,0.0002491278,0.00005472137,0.00005675511,0.00006581027,0.0006758157,0.0004719151,0.0009135366,0.9759095,0.00004135098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001728839,0.00002936992,0.0000274661,0.00001070744,0.00001188439,0.000002605762,0.9992658,0.00007032992,0.0004087685],"genre_scores_gemma":[0.000461857,0.00002515486,0.0001163916,0.00001534519,0.000003454958,0.00002092388,0.9988569,0.00003412836,0.0004659379],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05233788,"threshold_uncertainty_score":0.124514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02402383485470137,"score_gpt":0.211059998163261,"score_spread":0.1870361633085597,"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."}}