{"id":"W4231913073","doi":"10.1515/iupac.81.0845","title":"Species Assemblage","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Relation (database); Ecology; Computer science; Risk assessment; Biology; Data mining; Linguistics; Philosophy","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":[0.0009124355,0.001495991,0.001857028,0.007055473,0.0009986502,0.002430347,0.00186123,0.001127927,0.08562121],"category_scores_gemma":[0.005377215,0.0006164766,0.001269736,0.008191221,0.0004443219,0.00219707,0.002582956,0.001856535,0.08966843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044257,"about_ca_system_score_gemma":0.001208949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155424,"about_ca_topic_score_gemma":0.01940239,"domain_scores_codex":[0.9985057,0.0001695728,0.0002679765,0.0005314135,0.0003371126,0.0001883139],"domain_scores_gemma":[0.9974889,0.0005937236,0.0004550446,0.0005295907,0.0007166265,0.0002160981],"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":[0.0001227695,0.00002251204,0.01157435,0.002494853,0.0001339949,0.00006802251,0.0001355859,0.0006292857,0.0007173418,0.002013691,0.9692876,0.01280015],"study_design_scores_gemma":[0.00006569694,0.00001332588,0.01748348,0.0004770834,0.00003861517,0.0001551972,0.0001494207,0.0002767153,0.000200021,0.001713577,0.9793945,0.00003223927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005359703,0.0002630178,0.0001102697,0.00005217663,0.00004286304,0.00001369192,0.9970493,0.0001728186,0.001759933],"genre_scores_gemma":[0.001620998,0.000276158,0.0005982405,0.00006131956,0.00001861284,0.00007834085,0.9962475,0.00007122153,0.001027692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08562121,"threshold_uncertainty_score":0.2864315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303061866569495,"score_gpt":0.3409390299098254,"score_spread":0.3279084112441304,"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."}}