{"id":"W2808026519","doi":"10.1161/str.49.suppl_1.tmp102","title":"Abstract TMP102: Predicting Recovery and Outcome After Pediatric Stroke","year":2018,"lang":"en","type":"article","venue":"Stroke","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Manitoba","funders":"","keywords":"Medicine; Pediatric stroke; Stroke (engine); Pediatrics; Hemiparesis; Stroke recovery; Univariate analysis; Physical therapy; Internal medicine; Multivariate analysis; Rehabilitation; Ischemic stroke; Angiography; Ischemia","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":[0.0008170895,0.0003533193,0.0003090526,0.0008864943,0.000201166,0.0006065201,0.000388591,0.0003603021,0.001582669],"category_scores_gemma":[0.005213652,0.0001283376,0.0004120093,0.0009895359,0.0002284378,0.0006861796,0.0004388112,0.0007234745,0.0003714656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002861687,"about_ca_system_score_gemma":0.0004415828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003375342,"about_ca_topic_score_gemma":0.00258657,"domain_scores_codex":[0.9996082,0.0001127267,0.00006125557,0.00007054065,0.00007723458,0.0000700973],"domain_scores_gemma":[0.9974393,0.0005593536,0.001419089,0.00007922883,0.0002436097,0.0002593892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006739153,0.00001065611,0.9981001,0.000007348729,0.000009860499,0.0000707306,0.00001589862,0.0001268843,0.00006485921,0.00001193651,0.00008300756,0.001431254],"study_design_scores_gemma":[0.000003539014,0.0001173578,0.9979203,0.00001081134,0.00001639136,0.0005027047,0.00007638021,0.0009977864,0.0001879513,0.00003305843,0.0001313342,0.000002374215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982892,0.0002609021,0.0002593506,0.00008352001,0.00000540577,0.000006999623,0.0007239457,0.00001138158,0.0003593062],"genre_scores_gemma":[0.9985966,0.0001783593,0.0003281155,0.00001040967,0.00001067294,0.000009578998,0.0007546857,0.000004695239,0.0001067575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003375342,"threshold_uncertainty_score":0.006711423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755826594558587,"score_gpt":0.2854360018391092,"score_spread":0.2678777358935234,"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."}}