{"id":"W2773755685","doi":"10.1007/s10803-017-3440-6","title":"Identifying Autism with a Brief and Low-Cost Screening Instrument—OERA: Construct Validity, Invariance Testing, and Agreement Between Judges","year":2017,"lang":"en","type":"article","venue":"Journal of Autism and Developmental Disorders","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Offshore Energy Research Association; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Autism; Psychology; Measurement invariance; Construct validity; Test validity; Construct (python library); Agreement; Psychometrics; Clinical psychology; Developmental psychology; Statistics; Confirmatory factor analysis; Structural equation modeling","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.02725348,0.0006023372,0.0008623119,0.001990209,0.0008931813,0.001145657,0.0009576944,0.0008861708,0.001289189],"category_scores_gemma":[0.05749351,0.0005079904,0.001881048,0.0007228891,0.001211416,0.001549075,0.002631803,0.00109827,0.0005824013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008512638,"about_ca_system_score_gemma":0.001627399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002318851,"about_ca_topic_score_gemma":0.00541624,"domain_scores_codex":[0.980253,0.008281792,0.00283451,0.001863333,0.005892686,0.0008747235],"domain_scores_gemma":[0.9384003,0.03307045,0.005431069,0.006641415,0.01520376,0.00125309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001745646,0.001478853,0.8704062,0.0001706459,0.0004999472,0.0001413625,0.003578827,0.00175385,0.01428889,0.001423504,0.001894708,0.1026177],"study_design_scores_gemma":[0.0001786061,0.001345164,0.9752168,0.00009057584,0.0002000522,0.0004629439,0.002312481,0.007686549,0.007653285,0.001485943,0.003289439,0.00007827414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729592,0.0001542226,0.02059243,0.0001193464,0.00009496467,0.000866916,0.000337037,0.0001565579,0.004719179],"genre_scores_gemma":[0.9678357,0.0001161804,0.02879343,0.0001124282,0.00003182398,0.001200337,0.0007290863,0.00008851408,0.001092614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02725348,"threshold_uncertainty_score":0.1441319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0862939040003973,"score_gpt":0.3068143876105407,"score_spread":0.2205204836101434,"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."}}