{"id":"W4243828723","doi":"10.1515/iupac.81.0266","title":"Diversity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Diversity (politics); Environmental risk assessment; Relation (database); Ecology; Computer science; Biology; Risk assessment; Sociology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001756915,0.001626067,0.001478076,0.006729195,0.001557627,0.004456655,0.002900423,0.001755653,0.1126487],"category_scores_gemma":[0.01541261,0.0007077067,0.001643387,0.01143816,0.0005675921,0.004092632,0.004431989,0.002493547,0.1361386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00208285,"about_ca_system_score_gemma":0.002840967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824497,"about_ca_topic_score_gemma":0.03640789,"domain_scores_codex":[0.9962925,0.0006452968,0.0005465521,0.001171026,0.0008799459,0.0004646569],"domain_scores_gemma":[0.9945076,0.001528237,0.000479407,0.001427557,0.001635554,0.0004215789],"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":[0.00006184035,0.00001646463,0.001879146,0.0007609046,0.00003092818,0.00002417,0.00008036938,0.000195113,0.0001103498,0.001970674,0.9879875,0.006882555],"study_design_scores_gemma":[0.00004477142,0.000006741544,0.002075743,0.0003349897,0.00001119083,0.00005172193,0.0001247278,0.0001534318,0.00009037506,0.001610364,0.9954796,0.00001627923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000224041,0.0001701875,0.0001529455,0.0001784596,0.00005664638,0.00001923216,0.9963714,0.0002567567,0.002570293],"genre_scores_gemma":[0.0004572793,0.0001162237,0.0004188235,0.0001050271,0.00001128603,0.00007518912,0.9976857,0.00007742878,0.001053092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8873513,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065552903012015,"score_gpt":0.4052137618651138,"score_spread":0.3845582328349937,"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."}}