{"id":"W4293051835","doi":"10.1002/hbm.26055","title":"Functional brain networks underlying the interaction between central and peripheral processes involved in Chinese handwriting in children and adults","year":2022,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Writing and Handwriting Education","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Natural Science Foundation of Beijing Municipality; National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Handwriting; Neuroscience; Psychology; Peripheral; Medicine; Computer science; Artificial intelligence","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001590322,0.0001089893,0.000135287,0.0001424963,0.001962496,0.0002326139,0.0001088132,0.0000470871,0.00004241153],"category_scores_gemma":[0.0005244355,0.0001082289,0.00001998755,0.000430175,0.0001288861,0.0002646298,0.00008647142,0.0004436056,1.338337e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856583,"about_ca_system_score_gemma":0.00008778577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002828239,"about_ca_topic_score_gemma":0.006735511,"domain_scores_codex":[0.9984696,0.0004419286,0.0002535803,0.0002855164,0.0002061641,0.0003432176],"domain_scores_gemma":[0.9990919,0.0006559687,0.0001084408,0.00006199571,0.00002868777,0.00005299693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001125657,0.00002756467,0.9553935,0.00002885177,0.000008229751,8.056187e-7,0.03927767,0.0008847321,0.00008141944,0.0007988167,0.0001921529,0.003294995],"study_design_scores_gemma":[0.0005327135,0.00001814274,0.9356341,0.0001598763,0.000002406375,0.000003815897,0.06144819,0.0009417601,1.612274e-7,0.0009887299,0.0001452069,0.0001248306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931149,0.0003043368,0.0001709778,0.005569378,0.00008597253,0.0002987627,0.000002708879,0.00004689671,0.0004060511],"genre_scores_gemma":[0.9987692,0.00001358642,0.00002428328,0.0004328962,0.0005178374,0.0000577028,0.00006208324,0.00001189895,0.0001104614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02217052,"threshold_uncertainty_score":0.9993368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935794975142814,"score_gpt":0.3092337664426834,"score_spread":0.2698758166912553,"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."}}