{"id":"W4232242277","doi":"10.1515/iupac.87.0310","title":"Hypertonia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Neurological Disorders and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Psychology; 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":[0.0006525298,0.001059256,0.001119634,0.002244603,0.0004980866,0.001727108,0.001295979,0.001130428,0.08295671],"category_scores_gemma":[0.008716689,0.0002844355,0.001357036,0.002954525,0.0002491866,0.001223425,0.001276265,0.001156364,0.05016764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000917504,"about_ca_system_score_gemma":0.001294147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007588228,"about_ca_topic_score_gemma":0.01571292,"domain_scores_codex":[0.9990983,0.0001393671,0.0003040901,0.0002472707,0.0001291211,0.0000819383],"domain_scores_gemma":[0.9975314,0.0007762112,0.0005976683,0.0004139146,0.0005227781,0.0001579912],"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":[0.000941344,0.0000494214,0.01105486,0.004765702,0.0001864827,0.0001497988,0.00004626895,0.0002781419,0.0001820272,0.000816564,0.9574753,0.02405401],"study_design_scores_gemma":[0.000872448,0.00008854153,0.04741672,0.003699071,0.0002302898,0.0009115168,0.0001582051,0.0005705576,0.0005486674,0.003382106,0.9420301,0.00009183194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000992545,0.0006005728,0.0001505549,0.0001615135,0.00006645748,0.00008904356,0.9939803,0.0002660752,0.003692896],"genre_scores_gemma":[0.003780586,0.0007838067,0.0006181245,0.000386596,0.00004825889,0.0004346791,0.9908733,0.00007552046,0.002999056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08295671,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901880755355272,"score_gpt":0.3969673627787869,"score_spread":0.3679485552252341,"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."}}