{"id":"W2994681570","doi":"10.1097/pep.0000000000000664","title":"Validity of General Movement Assessment Based on Clinical and Home Videos","year":2019,"lang":"en","type":"article","venue":"Pediatric Physical Therapy","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Movement assessment; Percentile; Concurrent validity; Consistency (knowledge bases); Medicine; Physical therapy; Movement (music); Psychology; Physical medicine and rehabilitation; Internal consistency; Clinical psychology; Motor skill; Psychometrics; Statistics; Computer science; Mathematics; Psychiatry; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003164919,0.0001485867,0.0004233788,0.00006590058,0.00002216944,0.000008631351,0.00006818862,0.00006367855,0.00009983245],"category_scores_gemma":[0.00001160629,0.000107972,0.0001688628,0.000124238,0.00003604374,0.00003723254,0.00002347212,0.0002002395,0.000009727259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002117006,"about_ca_system_score_gemma":0.0001227702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003621436,"about_ca_topic_score_gemma":4.48227e-8,"domain_scores_codex":[0.9987944,0.00009721103,0.000278911,0.0002652919,0.0003923529,0.0001717915],"domain_scores_gemma":[0.9992127,0.0002523264,0.0001020391,0.0002631164,0.00006271926,0.0001071447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003800888,0.0002879793,0.9914181,0.00006160305,0.00003666874,0.000004462938,0.0001010006,0.000008727103,0.001336364,0.0002972703,0.0004873924,0.005580371],"study_design_scores_gemma":[0.005267907,0.00267348,0.9826545,0.00001684697,0.00005968783,5.119796e-7,0.000006126357,0.005021132,0.001594733,0.001149046,0.001324835,0.0002311932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956317,0.00003241748,0.00003719064,0.000218899,0.0002722958,0.0004559602,0.00002384165,0.00002619916,0.003301518],"genre_scores_gemma":[0.9961242,0.0003690214,0.0009742551,0.001441626,0.0009357524,0.00001589576,0.00004625372,0.00001514683,0.00007784378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008763571,"threshold_uncertainty_score":0.4402972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873097569602363,"score_gpt":0.3535435745774193,"score_spread":0.3148125988813957,"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."}}