{"id":"W4254900157","doi":"10.1515/iupac.87.0301","title":"Hydrocephalus","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Psychology; Computer science; Linguistics; Philosophy; Data mining","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":[0.0005157595,0.0009723794,0.0013745,0.002953535,0.0005924987,0.001612221,0.001158469,0.000903932,0.0862126],"category_scores_gemma":[0.007501111,0.0002718556,0.001194229,0.004408079,0.0003334879,0.001400948,0.0012156,0.001102106,0.03608354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008620067,"about_ca_system_score_gemma":0.002108409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007893687,"about_ca_topic_score_gemma":0.01248692,"domain_scores_codex":[0.9992862,0.00007841317,0.0002155078,0.0002259929,0.0001142778,0.00007964511],"domain_scores_gemma":[0.9977069,0.0007072802,0.0005367308,0.0004219954,0.0004627855,0.0001642965],"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":[0.0006925926,0.00003378378,0.01284443,0.003565882,0.0001907918,0.0004556315,0.00004298389,0.0002890784,0.0001220751,0.00130603,0.9415879,0.03886884],"study_design_scores_gemma":[0.0007578324,0.00007112373,0.03880608,0.005308978,0.0002273267,0.003868627,0.0002240648,0.000552365,0.0005276238,0.007892541,0.9416814,0.0000820081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001404234,0.001203482,0.0002508729,0.0002551504,0.0001192885,0.00008171314,0.9890103,0.0003582263,0.007316833],"genre_scores_gemma":[0.007791943,0.001913653,0.0009122405,0.0006319251,0.0001106197,0.0002620425,0.9847826,0.0001305329,0.003464311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0862126,"threshold_uncertainty_score":0.2884099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770104979803712,"score_gpt":0.4037218803207818,"score_spread":0.3860208305227447,"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."}}