{"id":"W4412539073","doi":"10.1080/21622965.2025.2520462","title":"Knowledge mapping of Specific Language Impairment in children: A bibliometric analysis (2010–2024)","year":2025,"lang":"en","type":"article","venue":"Applied Neuropsychology Child","topic":"Language Development and Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Specific language impairment; Cognitive psychology; Developmental psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01191672,0.0008637481,0.002784412,0.1480163,0.001185313,0.005412686,0.001319246,0.001054303,0.003764901],"category_scores_gemma":[0.05347193,0.0004529764,0.002914077,0.1956794,0.0009249578,0.003373426,0.003554954,0.0008990167,0.0008593832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004351469,"about_ca_system_score_gemma":0.009875495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01779527,"about_ca_topic_score_gemma":0.01780133,"domain_scores_codex":[0.9855922,0.002080045,0.004920168,0.00177384,0.004895184,0.0007384803],"domain_scores_gemma":[0.9389853,0.03088048,0.01391282,0.002074112,0.01260733,0.001539932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006490189,0.0001363936,0.5714284,0.09555056,0.007841124,0.001218046,0.00505069,0.002540103,0.001550582,0.003206551,0.04370191,0.2671266],"study_design_scores_gemma":[0.0001013514,0.0002010699,0.8607511,0.01768589,0.006388508,0.001618043,0.00538953,0.002165741,0.0012005,0.001863016,0.1024751,0.0001601097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3746225,0.2253011,0.0021419,0.005648916,0.0003853699,0.000868894,0.3780125,0.0005360309,0.01248276],"genre_scores_gemma":[0.7119061,0.1345928,0.007858089,0.0006565911,0.0005798265,0.001471601,0.1410813,0.0001307636,0.001722981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8519837,"threshold_uncertainty_score":0.06302238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233309795212854,"score_gpt":0.292347786448701,"score_spread":0.2800146884965725,"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."}}