{"id":"W4240964723","doi":"10.1515/iupac.81.0961","title":"Zooplankton","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Biology; Data mining; Philosophy; Linguistics","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":[0.0006399893,0.001571172,0.001167115,0.003445942,0.0007324643,0.001987837,0.001680859,0.001146294,0.05615648],"category_scores_gemma":[0.003322914,0.0005576161,0.0009304322,0.005686147,0.0002925681,0.001356429,0.001942768,0.001418924,0.07972334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389534,"about_ca_system_score_gemma":0.001725128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03403575,"about_ca_topic_score_gemma":0.0691756,"domain_scores_codex":[0.9992006,0.00008844324,0.0001120664,0.0002390424,0.0002459415,0.0001138295],"domain_scores_gemma":[0.9987289,0.0002497316,0.0002125298,0.0002572948,0.0004288414,0.0001226959],"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":[0.00007608453,0.00001654592,0.004500432,0.001425289,0.00005475456,0.00004153001,0.00003624212,0.0003724972,0.0002281516,0.000743705,0.9845245,0.007980121],"study_design_scores_gemma":[0.00008946768,0.000008333663,0.0111385,0.0004343209,0.00002348952,0.00005978173,0.00008371943,0.0002615276,0.0002420789,0.000830096,0.9868072,0.00002139769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002105942,0.0001181435,0.00005053211,0.00004139055,0.00002394273,0.000007404657,0.9982686,0.0001448836,0.001134518],"genre_scores_gemma":[0.0004569123,0.0001161395,0.0002626711,0.00004481887,0.000005298552,0.00003088304,0.9981079,0.00002992884,0.0009454135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05615648,"threshold_uncertainty_score":0.1878622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009349187465757894,"score_gpt":0.351596961579777,"score_spread":0.3422477741140191,"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."}}