{"id":"W4319222375","doi":"10.1016/j.omtm.2023.01.007","title":"In silico prediction and in vivo testing of promoters targeting GABAergic inhibitory neurons","year":2023,"lang":"en","type":"article","venue":"Molecular Therapy — Methods & Clinical Development","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; REGENXBIO","keywords":"In silico; Inhibitory postsynaptic potential; In vivo; GABAergic; Promoter; Chemistry; Biology; Computational biology; Neuroscience; Biochemistry; Genetics; Gene; Gene expression","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":[],"consensus_categories":[],"category_scores_codex":[0.005324668,0.0001937179,0.0003657323,0.0004662781,0.0001075633,0.00002583639,0.0003245497,0.0001108753,0.00001565262],"category_scores_gemma":[0.004970257,0.0001817609,0.00006020158,0.001910943,0.0003609711,0.0001448642,0.0002827454,0.000618535,0.000008177264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003298437,"about_ca_system_score_gemma":0.0002087343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004806546,"about_ca_topic_score_gemma":9.733806e-7,"domain_scores_codex":[0.9940685,0.003092526,0.001008961,0.000879113,0.0004043216,0.0005465794],"domain_scores_gemma":[0.9967045,0.002755575,0.0001623573,0.0001984753,0.00003717636,0.0001419225],"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":[0.0000969537,0.0001808956,0.01771933,0.00001914101,0.000002474607,0.0003555826,0.0002481934,0.00009367879,0.9450591,0.000005925664,0.00002727733,0.03619143],"study_design_scores_gemma":[0.001008185,0.0002457522,0.03275965,0.0000366546,0.000001718146,0.00001187071,0.00002090764,0.002753379,0.9615757,0.0002057905,0.001238909,0.0001414664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979053,0.00005637834,0.000360554,0.0004256576,0.000541591,0.0005764466,0.000002195255,0.00006966996,0.00006223879],"genre_scores_gemma":[0.9820535,0.0006053218,0.01507894,0.001943736,0.00003605553,0.0001184204,4.720561e-7,0.00004272253,0.0001208516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03604996,"threshold_uncertainty_score":0.7411993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1894575312851223,"score_gpt":0.4769847776513506,"score_spread":0.2875272463662283,"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."}}