{"id":"W4252310121","doi":"10.1515/iupac.87.0216","title":"Efferent","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Computer science; Psychology; Linguistics; Philosophy; Data mining","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":[0.0008329743,0.001598692,0.001237957,0.003754709,0.0008897205,0.003332095,0.001859013,0.001448226,0.1835359],"category_scores_gemma":[0.008744355,0.0006446916,0.001697254,0.006114975,0.0004050333,0.003133769,0.002186052,0.001632556,0.1977643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265524,"about_ca_system_score_gemma":0.001980557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559311,"about_ca_topic_score_gemma":0.02174337,"domain_scores_codex":[0.9983667,0.0002189082,0.0003656748,0.0005325984,0.0003014898,0.0002146432],"domain_scores_gemma":[0.9969026,0.0009232163,0.0003951273,0.0007527797,0.0008582677,0.0001678961],"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":[0.0002596442,0.00002397734,0.00335363,0.002683962,0.00006225765,0.00005517168,0.00005614108,0.0002503548,0.0002393956,0.002173998,0.9726359,0.01820555],"study_design_scores_gemma":[0.0001231592,0.00002013432,0.004277423,0.0007240262,0.00003872766,0.0001206476,0.00008370999,0.0001523781,0.0002412521,0.001912471,0.9922832,0.00002279638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003220207,0.0003418857,0.0002020114,0.0001124753,0.0000800766,0.00002959742,0.9931938,0.0003553427,0.005362791],"genre_scores_gemma":[0.001175703,0.0003939396,0.0005695482,0.0002426792,0.00003380914,0.0000953383,0.9937451,0.0001602075,0.003583675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8164641,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670209980915853,"score_gpt":0.4271635894825501,"score_spread":0.4104614896733916,"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."}}