{"id":"W4231463364","doi":"10.1515/iupac.81.0801","title":"Satellite Groups","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Ecology; 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":[0.0007757661,0.001677576,0.001219183,0.003901407,0.0008991645,0.002742933,0.002493113,0.001521198,0.1329671],"category_scores_gemma":[0.006317061,0.0005171172,0.001200352,0.007943301,0.0003332156,0.002359767,0.002569676,0.001761331,0.2204319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484447,"about_ca_system_score_gemma":0.002198081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02681115,"about_ca_topic_score_gemma":0.04594111,"domain_scores_codex":[0.9986262,0.0002060444,0.0001785845,0.0004373565,0.0003175716,0.0002342042],"domain_scores_gemma":[0.9976245,0.0003937343,0.0003247448,0.0006047753,0.0007788917,0.0002733534],"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":[0.0000446332,0.000009242681,0.001010914,0.0002569889,0.00001169175,0.00001421215,0.00002073824,0.0001065106,0.00004140951,0.0008646156,0.9944575,0.003161619],"study_design_scores_gemma":[0.00006671774,0.000006963262,0.002368643,0.0001904411,0.00000864483,0.0000408056,0.00008888885,0.0001910423,0.000107748,0.001302306,0.9956163,0.00001143041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001416197,0.00008360055,0.00007314824,0.00008031732,0.00003059371,0.00001222476,0.9972546,0.0002631668,0.002060833],"genre_scores_gemma":[0.0003746674,0.00008460236,0.0002401072,0.00006815569,0.00001417771,0.00004393434,0.9972856,0.00006362444,0.001825003],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1329671,"threshold_uncertainty_score":0.4448191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508425036037647,"score_gpt":0.3220444839961052,"score_spread":0.2969602336357288,"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."}}