{"id":"W4242426189","doi":"10.1515/iupac.87.0303","title":"Hydrocephalus, Obstructive","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","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; 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":[0.0004545552,0.0009526809,0.001065504,0.002625849,0.0005050737,0.001538364,0.00112631,0.001022216,0.03988118],"category_scores_gemma":[0.00661602,0.000234418,0.001106415,0.003804691,0.0003470175,0.001485939,0.001086207,0.001043414,0.0150671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000727386,"about_ca_system_score_gemma":0.001717522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008900071,"about_ca_topic_score_gemma":0.01947132,"domain_scores_codex":[0.9993819,0.00005694196,0.0001928296,0.0001988592,0.00009580834,0.00007359203],"domain_scores_gemma":[0.9981773,0.0004789304,0.000607912,0.000269253,0.0003302687,0.0001363082],"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":[0.0008255329,0.00004889813,0.03024731,0.009855699,0.0003426558,0.0004014224,0.0000715242,0.000499715,0.000221471,0.001385943,0.9290641,0.02703573],"study_design_scores_gemma":[0.001169581,0.0001040157,0.1078417,0.01043692,0.0005216198,0.003256926,0.0003525202,0.0008775291,0.0006253161,0.008487944,0.8661894,0.0001366338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001808196,0.001406996,0.0001580084,0.0001761161,0.000087462,0.00006756471,0.9925756,0.0001695052,0.003550616],"genre_scores_gemma":[0.007647499,0.001686036,0.0006347497,0.0003706432,0.00008289394,0.0003099528,0.9874205,0.00006199199,0.001785764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03988118,"threshold_uncertainty_score":0.1334159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919140147731572,"score_gpt":0.3753009591747116,"score_spread":0.3561095576973958,"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."}}