{"id":"W4392226890","doi":"10.1093/cercor/bhae043","title":"Functional connectivity key feature analysis of cognitive impairment patients based on microstate brain network","year":2024,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Hebei Province","keywords":"Ministate; Functional connectivity; Cognition; Feature (linguistics); Cognitive impairment; Neuroscience; Key (lock); Computer science; Psychology; Cognitive psychology; Electroencephalography","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":[0.000204521,0.0002846248,0.0001929959,0.001882028,0.0001864002,0.0003122337,0.0001467336,0.0001705894,0.001301071],"category_scores_gemma":[0.00119263,0.00005469594,0.0002791561,0.0007046917,0.0001278927,0.0002921651,0.0002309553,0.0001248558,0.0001119484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002278416,"about_ca_system_score_gemma":0.0001745445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003004262,"about_ca_topic_score_gemma":0.004687111,"domain_scores_codex":[0.9999104,0.00001992191,0.000008532273,0.00002581405,0.00001836253,0.00001696796],"domain_scores_gemma":[0.9997981,0.00007501721,0.00005014237,0.00001475148,0.00003784779,0.00002402996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001460288,0.0001746769,0.7331041,0.0001965079,0.000605663,0.001185873,0.000798185,0.01787502,0.05524383,0.002167117,0.001922052,0.1852668],"study_design_scores_gemma":[0.00002192344,0.0002680033,0.8990507,0.00001538173,0.0001636298,0.001506012,0.0003924256,0.09010106,0.005409506,0.002187787,0.0008516867,0.00003173717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845604,0.0001505233,0.01349105,0.00006224745,0.00000725117,0.00004662564,0.0006337733,0.00005474668,0.0009933134],"genre_scores_gemma":[0.9961326,0.00006365557,0.003021038,0.00000449062,0.000007511429,0.00003844672,0.0005643278,0.000005777983,0.0001621803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003004262,"threshold_uncertainty_score":0.005973518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805242743328418,"score_gpt":0.2532745013129237,"score_spread":0.2352220738796395,"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."}}