{"id":"W1982255698","doi":"10.3109/02699051003789229","title":"Genetic predictors of response to treatment with citalopram in depression secondary to traumatic brain injury","year":2010,"lang":"en","type":"article","venue":"Brain Injury","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Centre for Addiction and Mental Health; Sunnybrook Health Science Centre; University of Toronto; Sunnybrook Hospital","funders":"Canadian Institutes of Health Research","keywords":"Serotonergic; Citalopram; Serotonin transporter; Internal medicine; Psychology; Medicine; Akathisia; Major depressive disorder; Single-nucleotide polymorphism; Traumatic brain injury; Oncology; Serotonin; Psychiatry; Antipsychotic; Genotype; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001515892,0.0004603021,0.0008456492,0.001317531,0.0000836484,0.00004141897,0.0004053782,0.0002911501,0.0007427426],"category_scores_gemma":[0.001976241,0.0003592845,0.0001385053,0.001262038,0.0002209841,0.0001366835,0.0001548979,0.0006797722,0.0001502125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806534,"about_ca_system_score_gemma":0.0009123835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002020555,"about_ca_topic_score_gemma":0.0005005634,"domain_scores_codex":[0.9961258,0.0004165481,0.0009404809,0.0007883088,0.000935848,0.0007930641],"domain_scores_gemma":[0.995999,0.001415521,0.0001502128,0.001417927,0.0001628512,0.0008544486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.03439718,0.001595026,0.1309632,0.0004332096,0.0002435727,0.0002370034,0.01010417,0.00002166863,0.558615,0.00003445941,0.02440967,0.2389458],"study_design_scores_gemma":[0.004387853,0.01366059,0.9225097,0.0007804479,0.00005814985,0.0001468642,0.0007131788,0.00007124542,0.03807054,0.00008545128,0.01904164,0.0004743607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987745,0.00004177583,0.0001499655,0.00702533,0.000242925,0.00314957,0.000188808,0.0001211114,0.001335463],"genre_scores_gemma":[0.9849125,0.000003410446,0.0103979,0.00182985,0.0001690898,0.0005782237,0.00002185669,0.0001174825,0.001969694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7915465,"threshold_uncertainty_score":0.9998859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949907381526884,"score_gpt":0.3361824401185092,"score_spread":0.3066833663032403,"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."}}