{"id":"W4231927691","doi":"10.1515/iupac.88.1268","title":"Pup","year":2017,"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; Terminology; Relation (database); Computer science; 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":[0.001448033,0.0014927,0.001247595,0.00352154,0.001014007,0.003576319,0.002473583,0.001678511,0.2686048],"category_scores_gemma":[0.01333015,0.0006620103,0.001595365,0.006582831,0.0003869143,0.003119997,0.002729589,0.001712318,0.2738644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725685,"about_ca_system_score_gemma":0.002946042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01783508,"about_ca_topic_score_gemma":0.02905287,"domain_scores_codex":[0.9977221,0.0003895205,0.0004317986,0.0006922631,0.0005189104,0.0002454832],"domain_scores_gemma":[0.9945822,0.001402288,0.0005239043,0.001326571,0.001877603,0.0002874317],"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":[0.00006989377,0.00001071188,0.0008077553,0.000857137,0.0000197482,0.00001432251,0.00002545825,0.00008282377,0.00005724885,0.0009558867,0.9908683,0.006230588],"study_design_scores_gemma":[0.00007583064,0.000009760885,0.002170898,0.000544011,0.00001494867,0.00003974926,0.00006931093,0.00008910867,0.0001110733,0.001210632,0.9956484,0.00001625704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008946516,0.00009535485,0.0001101051,0.0001171268,0.00004713916,0.00002751206,0.996219,0.0002798052,0.003014562],"genre_scores_gemma":[0.0003914393,0.0001414892,0.0003414598,0.00019186,0.00001535119,0.0001385881,0.9960451,0.0001193115,0.00261542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7313952,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542132057496528,"score_gpt":0.4739738818831446,"score_spread":0.4485525613081793,"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."}}