{"id":"W2899200744","doi":"10.1109/embc.2018.8513078","title":"Detection of Atypical and Typical Infant Movements using Computer-based Video Analysis","year":2018,"lang":"en","type":"article","venue":"","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Holland Bloorview Kids Rehabilitation Hospital","funders":"University of Toronto","keywords":"Movement assessment; Artificial intelligence; Cerebral palsy; Computer science; Optical flow; Kinematics; Segmentation; Motion analysis; Physical medicine and rehabilitation; Machine learning; Medicine; Psychology; Developmental psychology","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":[0.0008107836,0.0004110203,0.0003182513,0.003434921,0.0001286181,0.0005705215,0.0002660623,0.0003577467,0.0007959002],"category_scores_gemma":[0.003052021,0.00009229255,0.0002343665,0.0009983225,0.0002199928,0.0003087446,0.000275223,0.0001608856,0.0003097245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432549,"about_ca_system_score_gemma":0.0002596366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0039064,"about_ca_topic_score_gemma":0.004290691,"domain_scores_codex":[0.9994699,0.0001540557,0.00006433877,0.0001209914,0.000141274,0.00004943706],"domain_scores_gemma":[0.998695,0.0005489522,0.0002323098,0.00006482988,0.0003728749,0.00008610536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002352633,0.0002926267,0.2773275,0.0006518071,0.0001651644,0.001457425,0.0005706145,0.003397052,0.1447275,0.0005367062,0.001246087,0.5672747],"study_design_scores_gemma":[0.00006192307,0.001374095,0.8598219,0.0001494023,0.0001774729,0.005445451,0.0006505211,0.083497,0.04579679,0.0004324534,0.00251618,0.00007681423],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433841,0.001132774,0.04999888,0.00006064814,0.00004107496,0.0004655201,0.00158169,0.0004236833,0.002911758],"genre_scores_gemma":[0.9534593,0.0008660757,0.04358203,0.0000243706,0.00002273276,0.0001545965,0.001258984,0.00002212038,0.000609794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0039064,"threshold_uncertainty_score":0.00776732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185627639593691,"score_gpt":0.2785014684094379,"score_spread":0.2599387044500688,"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."}}