{"id":"W4288041324","doi":"10.1177/10556656221116008","title":"Screening for Academic Risk Among Students With Cleft Lip and/or Palate: Patterns of Risk and Qualities of Effective Tools","year":2022,"lang":"en","type":"article","venue":"The Cleft Palate-Craniofacial Journal","topic":"Cleft Lip and Palate Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Dental and Craniofacial Research; National Institutes of Health; Cleft Palate Foundation","keywords":"CBCL; Child Behavior Checklist; Checklist; Medicine; Scale (ratio); Distress; Medical diagnosis; Family medicine; Cohort; Risk assessment; Clinical psychology; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002200651,0.0002203906,0.0003768797,0.00008944992,0.0006712144,0.00006466496,0.0004132177,0.0001369301,0.0000398055],"category_scores_gemma":[0.0003186764,0.000148519,0.0001369527,0.0001063645,0.0002866724,0.00001990138,0.0004015224,0.0008200608,1.800776e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001618652,"about_ca_system_score_gemma":0.00006969472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002408789,"about_ca_topic_score_gemma":0.00007105941,"domain_scores_codex":[0.9976049,0.0007316733,0.0004819007,0.0002876904,0.0005175824,0.0003762357],"domain_scores_gemma":[0.9984953,0.0004378351,0.0005487644,0.0002185625,0.000137359,0.0001622081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00132026,0.00004588117,0.9818606,0.00006070486,0.000303994,0.000006539378,0.001904238,0.0002682147,0.004844965,0.00001222514,0.0000252825,0.009347099],"study_design_scores_gemma":[0.002419088,0.001104275,0.9910123,0.00008311497,0.0001578376,0.0001476725,0.003684886,0.0001102652,0.000554755,0.0001790165,0.0003416195,0.0002051795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971004,0.00004272574,0.00137237,0.00004394979,0.0001069189,0.0006512711,0.0006578071,0.000005989595,0.00001860032],"genre_scores_gemma":[0.9964284,0.002995197,0.00009442649,0.00002947636,0.0002574917,0.00003927005,0.00002481635,0.0000359245,0.00009501025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009151694,"threshold_uncertainty_score":0.6056427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231139524252125,"score_gpt":0.3151487956225696,"score_spread":0.2920348431973571,"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."}}