{"id":"W4250044538","doi":"10.1093/pch/19.1.13","title":"Speech and language support: How physicians can identify and treat speech and language delays in the office setting","year":2014,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Language Development and Disorders","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interim; Language development; Literacy; Referral; Psychological intervention; Cued speech; Speech-Language Pathology; Medical education; Language acquisition; Computer science; Medicine; Psychology; Family medicine; Nursing; Developmental psychology; Pedagogy; Cognitive psychology; Mathematics education; Physical therapy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004946373,0.001054007,0.0005567958,0.002110356,0.002581716,0.003647829,0.001642225,0.003488326,0.01448726],"category_scores_gemma":[0.02121649,0.0004926975,0.000684779,0.0006498372,0.000936438,0.005142938,0.003635054,0.002919795,0.006950421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619454,"about_ca_system_score_gemma":0.005527364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005529425,"about_ca_topic_score_gemma":0.01557711,"domain_scores_codex":[0.9969152,0.001589223,0.0002864566,0.0002418359,0.000618398,0.0003488703],"domain_scores_gemma":[0.9932781,0.002770289,0.0007040564,0.0002691635,0.001021181,0.001957211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001335957,0.0009764953,0.01426662,0.0009402643,0.00003774946,0.004397426,0.01074107,0.000655834,0.001429362,0.002665524,0.2377436,0.7260125],"study_design_scores_gemma":[0.0005098876,0.001500246,0.06441673,0.009586158,0.0002194023,0.03236614,0.04897665,0.003945591,0.005131167,0.03200649,0.8006936,0.0006478999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.1475342,0.02699101,0.1336937,0.400488,0.006428209,0.002908125,0.001489629,0.01126906,0.2691982],"genre_scores_gemma":[0.4887539,0.03089013,0.4018857,0.02771331,0.002279847,0.00189069,0.0007783224,0.0008188271,0.04498924],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01448726,"threshold_uncertainty_score":0.04846472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008236113223332545,"score_gpt":0.2844816541879687,"score_spread":0.2762455409646362,"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."}}