{"id":"W4283445680","doi":"10.3390/children9060843","title":"Automated Movement Analysis to Predict Cerebral Palsy in Very Preterm Infants: An Ambispective Cohort Study","year":2022,"lang":"en","type":"article","venue":"Children","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Health Sciences Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Health Canada; Fondation Brain Canada","keywords":"Cerebral palsy; Gestational age; Medicine; Cohort; Predictive value; Statistic; Positive predicative value; Retrospective cohort study; Pediatrics; Predictive value of tests; Cohort study; Obstetrics; Pregnancy; Statistics; Internal medicine; Physical medicine and rehabilitation; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005352498,0.0002246659,0.0005299984,0.0006959868,0.0001626173,0.00003365189,0.0002304849,0.00004534396,0.0007201427],"category_scores_gemma":[0.00003545484,0.0002184682,0.0001176712,0.001371662,0.00001940758,0.0001209261,0.0002808649,0.0002861781,0.000006140227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003733377,"about_ca_system_score_gemma":0.0001054636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000636136,"about_ca_topic_score_gemma":0.0003271061,"domain_scores_codex":[0.99782,0.0001893128,0.0004193697,0.0005851294,0.0006378563,0.000348339],"domain_scores_gemma":[0.9991063,0.00001958425,0.00008794743,0.0005527417,0.00006317693,0.0001702759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003154376,0.0002244397,0.9872213,0.000004478112,0.001663322,0.00006300933,0.009272911,0.0003240407,0.0000323299,0.000003708022,0.0006583894,0.0002166171],"study_design_scores_gemma":[0.001989341,0.001012475,0.9937594,0.00001511983,0.0007018359,0.000009438702,0.0008058569,0.001256891,0.0001073991,0.00001119836,0.00004156375,0.0002894576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945402,0.00002587052,0.000003145579,0.00006939559,0.0001385565,0.002730504,0.000286569,0.0003097862,0.001895939],"genre_scores_gemma":[0.9965819,0.000002480112,0.0001369949,0.0008817627,0.0000641068,0.0004654439,0.001742094,0.00002613364,0.00009906435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008467053,"threshold_uncertainty_score":0.8908876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00677211473157988,"score_gpt":0.2588799772455742,"score_spread":0.2521078625139943,"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."}}