{"id":"W4247342571","doi":"10.1515/iupac.87.0603","title":"Shunt","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); Chemical nomenclature; Computer science; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[0.001459684,0.00154481,0.001233103,0.003333138,0.0009733049,0.003541753,0.002447307,0.001838946,0.2038022],"category_scores_gemma":[0.01378875,0.0005909171,0.001644146,0.005911503,0.0003942703,0.002540823,0.002270105,0.00184866,0.2539769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853529,"about_ca_system_score_gemma":0.003420173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01778512,"about_ca_topic_score_gemma":0.02802993,"domain_scores_codex":[0.9973375,0.0003831806,0.000513029,0.0009064277,0.0005369926,0.0003228059],"domain_scores_gemma":[0.9945701,0.001127332,0.0005350624,0.00138964,0.002014401,0.0003635181],"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":[0.000103089,0.00001543226,0.001353413,0.0006773132,0.00002400063,0.00001570171,0.00001908417,0.0001049899,0.00007105112,0.0008138256,0.9908487,0.005953451],"study_design_scores_gemma":[0.0001388834,0.00001724257,0.002976117,0.0005550765,0.00002317687,0.00006694048,0.00007702789,0.0001828281,0.0002001991,0.001442684,0.9942982,0.00002161293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001293472,0.00008135615,0.0001015653,0.0001224474,0.00005115965,0.0000280589,0.996847,0.0002723156,0.002366648],"genre_scores_gemma":[0.0004555587,0.00008660201,0.000316665,0.000163369,0.0000166169,0.00011396,0.9965447,0.00008403615,0.002218492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2038022,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682932691048932,"score_gpt":0.4187811364366456,"score_spread":0.4019518095261563,"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."}}