{"id":"W4411106495","doi":"10.21037/qims-24-2052","title":"Neural mechanisms underlying cognitive changes in individuals with alcohol use disorder: insights from resting-state functional magnetic resonance imaging","year":2025,"lang":"en","type":"article","venue":"Quantitative Imaging in Medicine and Surgery","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Functional magnetic resonance imaging; Resting state fMRI; Magnetic resonance imaging; Neuroscience; Alcohol use disorder; Cognition; Functional connectivity; Medicine; Alcohol; Psychology; Nuclear magnetic resonance; Biology; Radiology; Physics; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005802927,0.0003084302,0.000519035,0.001064877,0.0002792751,0.00008145152,0.00008719264,0.00002722005,0.00001540808],"category_scores_gemma":[0.01528304,0.0002580636,0.00003068048,0.001222133,0.0007216574,0.0005900546,0.0001099543,0.0003772494,0.000002296072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006294045,"about_ca_system_score_gemma":0.00009424077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617052,"about_ca_topic_score_gemma":0.002264639,"domain_scores_codex":[0.9973412,0.0005443781,0.0003967537,0.000876647,0.00044035,0.0004007138],"domain_scores_gemma":[0.9590991,0.04044456,0.000141792,0.0001388507,0.0001219756,0.00005374867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002956091,0.00007903307,0.9667686,0.00003680245,0.00001128037,0.0003331746,0.003115403,0.00006425265,0.007695191,0.002586914,0.0006993616,0.01831443],"study_design_scores_gemma":[0.001794976,0.00009414005,0.9643224,0.00207589,0.00002895319,0.00001634794,0.006818788,0.008890836,0.0005624039,0.01450505,0.0005640481,0.0003261082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688498,0.008296191,0.003757598,0.01795374,0.0004136354,0.0003952982,0.00003317599,0.00007576145,0.0002247681],"genre_scores_gemma":[0.9892901,0.0003657106,0.0003998071,0.009692054,0.00002076287,0.0001044344,0.00001631112,0.00002483034,0.00008597053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03990018,"threshold_uncertainty_score":0.9999872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011072638846222,"score_gpt":0.322512282002157,"score_spread":0.2214050181175348,"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."}}