{"id":"W4409344967","doi":"10.15283/ijsc24123","title":"Functional Validation of Alcohol Dependence-Associated <i>FYN</i> Variants Using Gene Editing and Stem Cell Study Approaches","year":2025,"lang":"en","type":"article","venue":"International Journal of Stem Cells","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"National Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health; Kavli Foundation","keywords":"FYN; Stem cell; Gene; Computational biology; Genome editing; Alcohol; Biology; Bioinformatics; Genetics; Medicine; Computer science; Genome; Kinase; Biochemistry; Proto-oncogene tyrosine-protein kinase Src","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":[],"consensus_categories":[],"category_scores_codex":[0.000503054,0.000102392,0.0001491704,0.0001422916,0.00004732172,0.00004507463,0.0001866365,0.00008168314,0.000009330882],"category_scores_gemma":[0.00001027176,0.00009685069,0.00007477917,0.00008198915,0.00002951358,0.000026261,0.00009616973,0.00009768524,6.530158e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003865843,"about_ca_system_score_gemma":0.0001223218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001012821,"about_ca_topic_score_gemma":0.000002045785,"domain_scores_codex":[0.9987804,0.000104748,0.0004981444,0.0001568122,0.0003713781,0.0000885498],"domain_scores_gemma":[0.9988087,0.00002680777,0.0005696482,0.0000808382,0.0004755342,0.00003846911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001398969,0.0003784323,0.01938234,0.00001384387,0.000380845,0.000008575958,0.0001030307,0.001582804,0.9743551,0.0000308079,0.0004447398,0.0031796],"study_design_scores_gemma":[0.001404954,0.0001435149,0.003148221,0.00005877823,0.00005390152,0.00002256933,0.0007070343,0.0004180254,0.9937804,0.00002960135,0.0001535299,0.00007950568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912035,0.0002966033,0.006873776,0.00005782285,0.001038318,0.0001424162,0.00001988623,0.000002604869,0.0003650996],"genre_scores_gemma":[0.9988579,0.00004024578,0.0004082716,0.00004464892,0.0002420711,0.000002127343,0.00001392309,0.000007825647,0.0003829873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01942529,"threshold_uncertainty_score":0.3949457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03920998411334769,"score_gpt":0.2594438612680666,"score_spread":0.2202338771547189,"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."}}