{"id":"W4240501214","doi":"10.1515/iupac.81.0695","title":"Planktotrophic Larva","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":[0.000581077,0.0020344,0.001407804,0.002968206,0.0008512845,0.001888287,0.001920795,0.001486759,0.04507613],"category_scores_gemma":[0.002299824,0.0005695091,0.001278422,0.004319839,0.0003569683,0.001225636,0.001681215,0.001498517,0.07470305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227162,"about_ca_system_score_gemma":0.001501423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02414023,"about_ca_topic_score_gemma":0.05158275,"domain_scores_codex":[0.9990687,0.00008462004,0.0001158372,0.0003190854,0.0002550306,0.000156715],"domain_scores_gemma":[0.9989612,0.0002236642,0.0001930243,0.0002461674,0.0002736732,0.0001022641],"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":[0.0001826787,0.00004110289,0.008195136,0.002181207,0.00009532124,0.00008571368,0.00003839723,0.0006461718,0.0007828169,0.000566502,0.977466,0.009718915],"study_design_scores_gemma":[0.0001630055,0.00003290162,0.02426413,0.000507276,0.00006705335,0.0001830697,0.0001142098,0.000494652,0.0009595976,0.0009045795,0.9722667,0.00004294054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003909353,0.000172228,0.00004490576,0.00002765031,0.00002298122,0.000008250272,0.9984932,0.0001311173,0.000708753],"genre_scores_gemma":[0.0007241921,0.000125369,0.0001836684,0.00003729454,0.00000469227,0.00004354853,0.9980775,0.0000201725,0.0007834414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04507613,"threshold_uncertainty_score":0.1507947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009545585868048937,"score_gpt":0.3447277250245852,"score_spread":0.3351821391565362,"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."}}