{"id":"W1982283505","doi":"10.1016/j.jmgm.2006.06.001","title":"Molecular modelling of the GABAA ion channel protein","year":2006,"lang":"en","type":"article","venue":"Journal of Molecular Graphics and Modelling","topic":"Nicotinic Acetylcholine Receptors Study","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"GABAA receptor; Ion channel; Chemistry; Channel (broadcasting); Biophysics; Computational biology; Computer science; Biology; Biochemistry; Telecommunications; Receptor","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":[0.0005351383,0.0002116252,0.000287115,0.0001147432,0.00009403141,0.00002405723,0.0002956695,0.0001798755,7.442103e-7],"category_scores_gemma":[0.0000222818,0.0001624047,0.00035731,0.0001937671,0.0001128441,0.000008776833,0.000126389,0.0003018082,1.243551e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008990922,"about_ca_system_score_gemma":0.00008601385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004471726,"about_ca_topic_score_gemma":0.000003320554,"domain_scores_codex":[0.9984008,0.0001075483,0.0006151274,0.0002371713,0.0003953823,0.0002439815],"domain_scores_gemma":[0.9986932,0.000008577496,0.0005639859,0.0003084823,0.0003511148,0.00007466865],"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":[0.0000462148,0.00008517729,0.00008131333,0.00002688553,0.00007172124,0.000002786243,0.00002558307,0.4659636,0.5317208,0.001900354,0.00002131251,0.00005427177],"study_design_scores_gemma":[0.0008333793,0.0002509237,0.000008986739,0.0001485221,0.00009942943,0.00007113945,0.00004485126,0.09780346,0.8948287,0.005073108,0.0006074535,0.0002300371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.610364,0.00343815,0.3857707,0.0001075015,0.00007764855,0.0001507382,0.000002746188,0.000002026395,0.00008651758],"genre_scores_gemma":[0.9956075,0.0005240635,0.003571086,0.00007492476,0.000147958,0.000004005384,0.000004221984,0.0000381146,0.0000281377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3852435,"threshold_uncertainty_score":0.6622673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313171510431007,"score_gpt":0.2178058455809125,"score_spread":0.2046741304766024,"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."}}