{"id":"W7163995295","doi":"10.1109/iipem65914.2025.11548008","title":"NeuroLingo – Smart Brain Health Test in Indian Languages","year":2025,"lang":"","type":"article","venue":"","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Field (mathematics); Government (linguistics)","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":[0.0006988232,0.0007284929,0.000353909,0.001241181,0.0003480698,0.0008624779,0.0007312504,0.000399487,0.006923967],"category_scores_gemma":[0.003289821,0.0001637595,0.0004694861,0.0005617582,0.0002698669,0.0005821444,0.0009690393,0.0005792872,0.003406127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003502789,"about_ca_system_score_gemma":0.000679417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008955767,"about_ca_topic_score_gemma":0.01230618,"domain_scores_codex":[0.9995611,0.00009478447,0.00008960348,0.0001023019,0.00009143429,0.00006076907],"domain_scores_gemma":[0.9991915,0.0002016115,0.0001367989,0.00008412894,0.0002800426,0.0001059634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002876595,0.001128625,0.5032747,0.0009625613,0.0002931553,0.003296573,0.002554965,0.002885194,0.01656306,0.002083822,0.09462623,0.3694545],"study_design_scores_gemma":[0.0003664377,0.001382948,0.8842039,0.0003834982,0.0003579325,0.008263446,0.003003315,0.01457205,0.02575619,0.005414997,0.05592585,0.0003695037],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8404622,0.0008738009,0.01912428,0.00219078,0.0004713466,0.00240667,0.04501595,0.00946976,0.07998527],"genre_scores_gemma":[0.9429437,0.0006768525,0.02162265,0.001218796,0.0001001452,0.001746504,0.01649632,0.0003399711,0.01485496],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008955767,"threshold_uncertainty_score":0.02316302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462887430033177,"score_gpt":0.3307580606469439,"score_spread":0.3161291863466121,"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."}}