{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009249845,0.0004324524,0.0004784183,0.0001142054,0.0001598482,0.00006346402,0.0005644573,0.0002791779,0.004322717],"category_scores_gemma":[0.001162463,0.0002623487,0.0001776781,0.0001712783,0.0002142727,0.0000746673,0.0002191896,0.0003572107,0.00003191771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079027,"about_ca_system_score_gemma":0.0001964853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002890309,"about_ca_topic_score_gemma":0.00006386426,"domain_scores_codex":[0.9973152,0.0001340143,0.0003039417,0.0008404166,0.0009091934,0.0004972317],"domain_scores_gemma":[0.9986199,0.0002219001,0.0001658279,0.000741951,0.00007345415,0.0001769691],"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":[0.0001228885,0.0004612753,0.000004923137,0.00001936523,0.0000156332,0.0005067728,9.964613e-7,1.652566e-7,0.0003366635,0.00002326561,0.9952713,0.003236725],"study_design_scores_gemma":[0.0009908617,0.0004199088,0.0000168483,0.0000504518,0.00005757615,0.00002011357,7.258746e-7,9.933663e-7,0.0004851928,0.001321713,0.9963323,0.0003032745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006166128,0.0001723219,0.00000911345,0.001173511,0.0006723079,0.0002798345,0.9967341,0.00009995904,0.0002422756],"genre_scores_gemma":[0.000255681,0.00187394,0.000005402657,0.004077263,0.0002451094,0.00002237233,0.9927468,0.00003440213,0.00073901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0042908,"threshold_uncertainty_score":0.9999829,"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."}}