{"id":"W6959496677","doi":"10.11575/prism/39818","title":"Clinical Prediction of Perinatal Arterial Ischemic Stroke","year":2022,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Cerebral palsy; Etiology; Pregnancy; Apgar score; Incidence (geometry); Pediatric stroke; Neuroimaging","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00205996,0.000509018,0.0003973701,0.001590188,0.000263564,0.001194605,0.0007690327,0.000428926,0.002045525],"category_scores_gemma":[0.01342558,0.0002107868,0.0006611408,0.0008267337,0.000218906,0.0003824423,0.000626079,0.0009715414,0.000542324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006035005,"about_ca_system_score_gemma":0.001106939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008809485,"about_ca_topic_score_gemma":0.00612422,"domain_scores_codex":[0.9992431,0.0002972967,0.00009075453,0.0001535239,0.0001427881,0.00007245153],"domain_scores_gemma":[0.9959929,0.002177317,0.0007300357,0.0001697155,0.0007143411,0.0002156354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009495239,0.00006619578,0.9798063,0.0000275215,0.00007627631,0.0001499692,0.00006211834,0.003543361,0.00007204313,0.0005537191,0.001216817,0.01433067],"study_design_scores_gemma":[0.0000433541,0.0002832848,0.757172,0.0001815117,0.00035441,0.001114046,0.0004544992,0.2333647,0.000667653,0.0038557,0.002466185,0.00004259697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697626,0.001087658,0.01655022,0.001618972,0.0001172028,0.0001896368,0.003581926,0.0001791016,0.006912776],"genre_scores_gemma":[0.9937257,0.0003595867,0.003631825,0.00003978708,0.00002821221,0.00004064798,0.00164312,0.00000728936,0.0005237841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008809485,"threshold_uncertainty_score":0.01751637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247863584947497,"score_gpt":0.2351322053979411,"score_spread":0.2226535695484662,"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."}}