{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001244105,0.0007888926,0.0005146823,0.0004176262,0.0002124074,0.0004367451,0.0004421938,0.0004706891,0.000745654],"category_scores_gemma":[0.001845097,0.0003139533,0.0007052096,0.0002462394,0.0002752765,0.0001812255,0.0002085993,0.0005980962,0.0004679367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152776,"about_ca_system_score_gemma":0.0006690864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000734448,"about_ca_topic_score_gemma":0.001219101,"domain_scores_codex":[0.9995152,0.0001779013,0.00004083025,0.00010584,0.0001155526,0.00004462312],"domain_scores_gemma":[0.9989637,0.0007096346,0.0001362622,0.00004692615,0.00009906707,0.00004446329],"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":[0.0008647611,0.0004603899,0.008634979,0.0003583746,0.0001040314,0.0003199243,0.0000673926,0.1150425,0.8591465,0.0009897747,0.0002333725,0.01377796],"study_design_scores_gemma":[0.00006720721,0.001255521,0.00204929,0.00002882774,0.0001314212,0.0002181327,0.00004696233,0.2817646,0.7119752,0.0004373792,0.00200092,0.00002457593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936869,0.0007025081,0.1022889,0.00009295114,0.00003826764,0.0001670236,0.0009573295,0.0006603397,0.001405703],"genre_scores_gemma":[0.8770363,0.0007259678,0.1174398,0.00005594242,0.000009700903,0.0001691307,0.003696859,0.0001864774,0.0006797675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001244105,"threshold_uncertainty_score":0.006579578,"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."}}