{"id":"W4248512639","doi":"10.1515/iupac.87.0319","title":"Ictus","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Acute Ischemic Stroke Management","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; Computer science; Psychology; Medicine; Engineering ethics; Chemistry; Linguistics; Engineering; 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":[0.0009911829,0.00124087,0.001232828,0.003854346,0.000632217,0.002500159,0.001940603,0.001446898,0.09786823],"category_scores_gemma":[0.0103069,0.0004687966,0.001348024,0.005461823,0.0003560233,0.001688792,0.002128236,0.0014409,0.1030609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552457,"about_ca_system_score_gemma":0.003183702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01458195,"about_ca_topic_score_gemma":0.02703462,"domain_scores_codex":[0.9986264,0.0002267218,0.0003640808,0.0003652481,0.0002430971,0.0001745463],"domain_scores_gemma":[0.9964336,0.0008756088,0.0006099638,0.0007773668,0.0009754149,0.0003280383],"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":[0.0001640867,0.00001677281,0.002226423,0.001433012,0.00004442296,0.0000366317,0.00002656185,0.0001759232,0.00007782803,0.0008501532,0.9891372,0.005810923],"study_design_scores_gemma":[0.0002545549,0.00002508467,0.006140145,0.0009338299,0.00004835861,0.0001296541,0.00007618811,0.0002445415,0.0002268096,0.001655519,0.99024,0.00002543112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001320271,0.0001143802,0.00005891468,0.00008899297,0.00002924936,0.00002445557,0.9978639,0.0002501279,0.001437933],"genre_scores_gemma":[0.0004775914,0.0001282262,0.0002225781,0.0001382669,0.00001643087,0.0001101813,0.9977369,0.00006538552,0.001104453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09786823,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013314011192316,"score_gpt":0.3958520499853872,"score_spread":0.3825380387930712,"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."}}