{"id":"W4255812060","doi":"10.1515/iupac.87.0290","title":"Hemiplegia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; 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":[0.0005259209,0.0011989,0.001447195,0.002423249,0.0005548568,0.001524413,0.001305131,0.001074509,0.0842528],"category_scores_gemma":[0.007327709,0.0002690153,0.001500851,0.003086432,0.0002462399,0.001008678,0.001005405,0.001130914,0.04868123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071605,"about_ca_system_score_gemma":0.001635389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123411,"about_ca_topic_score_gemma":0.02693784,"domain_scores_codex":[0.9991657,0.00009537696,0.0002861583,0.0002303354,0.0001271505,0.0000953163],"domain_scores_gemma":[0.9980676,0.0004495019,0.000488926,0.0003039424,0.0005557514,0.0001343661],"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":[0.0009556384,0.00006007573,0.01365989,0.004808273,0.0002688864,0.0001879447,0.00003826545,0.0002990863,0.0001115778,0.0007162464,0.9555621,0.02333215],"study_design_scores_gemma":[0.00138903,0.0001490226,0.08886886,0.005457311,0.0004270511,0.001384358,0.000195574,0.0006893311,0.00048983,0.00412892,0.896697,0.0001236317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008193454,0.0004333568,0.00009733791,0.00008808377,0.00004534155,0.00008200622,0.9946214,0.0001512546,0.003661856],"genre_scores_gemma":[0.003642194,0.0006812469,0.0003349074,0.0002215168,0.00003932122,0.0004043054,0.9919732,0.00004204743,0.002661315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0842528,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507515285190207,"score_gpt":0.3980124736922884,"score_spread":0.3829373208403863,"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."}}