{"id":"W2021663177","doi":"10.1016/s0006-3495(03)74959-5","title":"Understanding pH-Dependent Selectivity of Alamethicin K18 Channels by Computer Simulation","year":2003,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Calgary","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Alamethicin; Selectivity; Chemistry; Biophysics; Computer science; Nanotechnology; Materials science; Ion channel; Biology; Biochemistry","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":[0.0002394274,0.00009676677,0.000116504,0.00003964505,0.000103119,0.00002664234,0.00005097047,0.0001131053,0.00002570891],"category_scores_gemma":[0.00003667579,0.00008635147,0.00009292181,0.00009114167,0.00004366885,0.000008360764,0.0000116548,0.0001321493,0.000003392931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004112447,"about_ca_system_score_gemma":0.00002930955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001270039,"about_ca_topic_score_gemma":3.559071e-7,"domain_scores_codex":[0.9991961,0.0001349115,0.0001788195,0.0001542212,0.0001951423,0.0001407955],"domain_scores_gemma":[0.9995812,0.00002430581,0.0001293704,0.00008281681,0.0001084271,0.00007392283],"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":[0.00006753134,0.0001290308,0.0001414327,0.000006733894,0.0000420383,6.926492e-7,0.00003957669,0.02954981,0.96753,0.0007014951,0.001330128,0.0004614939],"study_design_scores_gemma":[0.000978731,0.0005722916,0.0001930512,0.00001637839,0.00002062246,0.00003130891,0.00005951159,0.04554971,0.9481049,0.0009357029,0.003340127,0.0001976394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3647721,0.00001601021,0.6344008,0.0000626262,0.0005368487,0.00005385214,0.00000309859,0.000004848567,0.0001497427],"genre_scores_gemma":[0.9988253,0.00002076498,0.000219816,0.00008179775,0.0006702745,9.165994e-7,0.00001381623,0.00001080236,0.0001565151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.634181,"threshold_uncertainty_score":0.3521311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04663226662061894,"score_gpt":0.2787729577541194,"score_spread":0.2321406911335004,"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."}}