{"id":"W4243730382","doi":"10.1515/iupac.87.0307","title":"Hyperesthesia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Airway Management and Intubation Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; 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":[0.0007170133,0.001062609,0.00113506,0.002941227,0.0004494733,0.001524867,0.001375209,0.00112403,0.07324483],"category_scores_gemma":[0.009271087,0.0003200763,0.001805098,0.003515509,0.0003094507,0.001211185,0.001423189,0.001257498,0.04078269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007012,"about_ca_system_score_gemma":0.001549285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008889985,"about_ca_topic_score_gemma":0.02244526,"domain_scores_codex":[0.9988123,0.0001667147,0.0004163663,0.0002937324,0.0002111732,0.00009968784],"domain_scores_gemma":[0.9958033,0.001392,0.00103137,0.0005866479,0.0009898623,0.000196828],"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":[0.0007749468,0.00006499031,0.01226721,0.009866711,0.0002654584,0.0001576988,0.00006831241,0.0004730464,0.000276545,0.0008057568,0.9393398,0.03563953],"study_design_scores_gemma":[0.0006744792,0.00009893022,0.05313672,0.00482405,0.0002635567,0.0008672808,0.0001766409,0.000511679,0.0005707458,0.002695736,0.9360874,0.00009270672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008049858,0.0006630372,0.000167125,0.00009029579,0.00005887371,0.00007676705,0.9949491,0.0002174825,0.002972317],"genre_scores_gemma":[0.003230311,0.0009386367,0.000751256,0.0002623493,0.00003791568,0.0003833295,0.9918213,0.00007216141,0.002502791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07324483,"threshold_uncertainty_score":0.2450284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813047387716906,"score_gpt":0.4165816660513726,"score_spread":0.3984511921742036,"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."}}