{"id":"W4365512432","doi":"10.1016/j.bpr.2023.100108","title":"A transistor model for the cystic fibrosis transmembrane conductance regulator","year":2023,"lang":"en","type":"article","venue":"Biophysical Reports","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Defense Advanced Research Projects Agency","keywords":"Cystic fibrosis transmembrane conductance regulator; Chloride channel; Transistor; Patch clamp; Mutant; Noise (video); Topology (electrical circuits); Computer science; Cystic fibrosis; Electronic engineering; Biophysics; Physics; Nanotechnology; Chemistry; Materials science; Engineering; Biology; Electrical engineering; Electrophysiology; Neuroscience; Artificial intelligence; Genetics; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001216232,0.0004212626,0.0004312762,0.000421976,0.0004252467,0.0006772504,0.0009027954,0.001406054,0.009305858],"category_scores_gemma":[0.0004084695,0.0001737864,0.0007150611,0.0003550668,0.0004523135,0.001048864,0.0002650018,0.0006362949,0.001591213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000526235,"about_ca_system_score_gemma":0.0006642773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002466341,"about_ca_topic_score_gemma":0.002681797,"domain_scores_codex":[0.9999067,0.00001984106,0.000003926585,0.00002492946,0.00003201817,0.00001256566],"domain_scores_gemma":[0.9998902,0.00005009269,0.00001054859,0.00001224359,0.00003017321,0.000006824105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005936334,0.00004911978,0.0004527222,0.0002175257,0.00004029401,0.0005895928,0.0001702727,0.5300257,0.03124591,0.4138221,0.006123857,0.01720349],"study_design_scores_gemma":[0.00002265155,0.00006334156,0.0001525946,0.00001981445,0.00002678845,0.0002391598,0.00002924071,0.9048583,0.001795274,0.06984375,0.02293275,0.00001632969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02792882,0.001057603,0.8952451,0.001655615,0.0003322292,0.0001143122,0.001047213,0.000845628,0.07177348],"genre_scores_gemma":[0.729405,0.002469231,0.1987837,0.0009740974,0.0002234362,0.0006028688,0.001004022,0.0003115752,0.0662261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009305858,"threshold_uncertainty_score":0.03113121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0345825530271171,"score_gpt":0.320625740607697,"score_spread":0.2860431875805799,"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."}}