{"id":"W4229755085","doi":"10.1515/iupac.88.1489","title":"Villus","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; Data mining; 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":[0.001316917,0.001479133,0.001514781,0.005438184,0.001095831,0.004509333,0.002577447,0.001706278,0.2119107],"category_scores_gemma":[0.01261727,0.0007460002,0.001333372,0.009970651,0.0004577063,0.003188322,0.003276464,0.002025398,0.2471484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835841,"about_ca_system_score_gemma":0.003348568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02548352,"about_ca_topic_score_gemma":0.03484328,"domain_scores_codex":[0.9980496,0.000378225,0.0004119918,0.0005146678,0.0004054242,0.0002400378],"domain_scores_gemma":[0.9948786,0.001520803,0.0007142762,0.001079435,0.001408207,0.0003985055],"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":[0.00007177884,0.00000787535,0.0006811334,0.00111122,0.00001876077,0.00001399417,0.00003146606,0.00008826221,0.00005762885,0.001183685,0.9926183,0.004115983],"study_design_scores_gemma":[0.00008142998,0.00000868709,0.001654843,0.0006809627,0.00001294476,0.00003378871,0.00006662907,0.00008443461,0.00009257767,0.001161023,0.9961068,0.00001592259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000557481,0.00008379315,0.00005923849,0.00008387782,0.00002572357,0.00001429025,0.9977558,0.0002766035,0.001644986],"genre_scores_gemma":[0.0002465011,0.0001305929,0.0002430083,0.0001027903,0.00001317169,0.00007290118,0.9977002,0.0001371364,0.001353804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2119107,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234016892550465,"score_gpt":0.4636766593677352,"score_spread":0.4402749701126887,"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."}}