{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003023918,0.0006928549,0.0004073315,0.0007439216,0.000453089,0.0006142632,0.0006386072,0.0005357252,0.0008735192],"category_scores_gemma":[0.007210631,0.0003577885,0.0006424375,0.0003619689,0.0003326947,0.0004096456,0.0008813929,0.0005666194,0.0003285655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854901,"about_ca_system_score_gemma":0.0003861571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001997344,"about_ca_topic_score_gemma":0.002246188,"domain_scores_codex":[0.9987611,0.0005009034,0.00008012987,0.0003061903,0.0002586249,0.00009307628],"domain_scores_gemma":[0.9966154,0.001048795,0.0006928523,0.0007343203,0.000650607,0.0002580853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003502126,0.0001792631,0.9947692,0.00001223017,0.0001119928,0.0001364627,0.0001578947,0.00009441935,0.0005401262,0.00002416772,0.00009683236,0.003527321],"study_design_scores_gemma":[0.00003303841,0.001772981,0.9950464,0.00001945017,0.0001047002,0.0007133996,0.0001977748,0.001382488,0.0003738764,0.00005441816,0.000285362,0.00001617036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990528,0.00006593021,0.0005239594,0.000007809386,0.000005074924,0.00003566848,0.0001440835,0.000004700453,0.0001598935],"genre_scores_gemma":[0.9980016,0.00009812535,0.001026212,0.00002262993,0.00001374498,0.00005526931,0.000551288,0.000007026449,0.0002239481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003023918,"threshold_uncertainty_score":0.01599222,"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."}}