{"id":"W4235068625","doi":"10.1515/iupac.68.0072","title":"Exit Channel","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Channel (broadcasting); Linguistics; Philosophy; Mathematics; Telecommunications","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":[0.001031329,0.002685691,0.001593513,0.003042418,0.0009944073,0.003230156,0.002980365,0.001855796,0.1085596],"category_scores_gemma":[0.00691023,0.0007386893,0.001755997,0.004522318,0.0004546074,0.002628279,0.002538349,0.002324255,0.2203024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248131,"about_ca_system_score_gemma":0.002218793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01448097,"about_ca_topic_score_gemma":0.03225536,"domain_scores_codex":[0.9986417,0.0001930079,0.0001815314,0.0004989471,0.0002661581,0.0002186613],"domain_scores_gemma":[0.9976204,0.0005385856,0.0002412166,0.0008328735,0.0005527423,0.0002141676],"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":[0.0001202851,0.00002062163,0.001005616,0.0005673263,0.00002535223,0.00002057714,0.00001885499,0.0002365864,0.0001248836,0.0005461636,0.9939128,0.003400987],"study_design_scores_gemma":[0.0001903965,0.00003123136,0.003523417,0.0003997464,0.00003394574,0.00009217857,0.00008659326,0.0005225121,0.0004837674,0.002422823,0.992174,0.00003935106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001459671,0.00009586997,0.0001297043,0.00005663103,0.00003911644,0.00001653954,0.9976673,0.0006809325,0.001167825],"genre_scores_gemma":[0.0003126175,0.00006473901,0.0002654613,0.00006885435,0.00000843912,0.00006078502,0.9983153,0.0001088944,0.0007948677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1085596,"threshold_uncertainty_score":0.3631679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007280465120336503,"score_gpt":0.322103475860189,"score_spread":0.3148230107398525,"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."}}