{"id":"W4212926436","doi":"10.15252/msb.202110629","title":"CFTR interactome mapping using the mammalian membrane two‐hybrid high‐throughput screening system","year":2022,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre; University Health Network; University of Regina; Hospital for Sick Children; University of Toronto","funders":"Fundação para a Ciência e a Tecnologia; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Genentech; Canada Foundation for Innovation","keywords":"Interactome; Biology; Computational biology; Throughput; Genetics; Gene; Computer science","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":[0.0009889398,0.0009461846,0.001289898,0.001525318,0.0008121677,0.0008592685,0.0009892498,0.0007875946,0.002534952],"category_scores_gemma":[0.0005870274,0.0003399754,0.0009567801,0.0009454907,0.0003412887,0.0002678572,0.0007857722,0.0009165377,0.001475366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006701691,"about_ca_system_score_gemma":0.0003740186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955209,"about_ca_topic_score_gemma":0.003168841,"domain_scores_codex":[0.9991204,0.0002090398,0.00006068542,0.0001808252,0.0003452072,0.00008380123],"domain_scores_gemma":[0.9995407,0.0002275442,0.00005439992,0.00006835444,0.00006728169,0.00004165795],"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":[0.0001177364,0.00006173416,0.0004417057,0.00008245555,0.00004606075,0.0001107648,0.00002533251,0.0006083166,0.9944267,0.0002400274,0.0004736655,0.003365454],"study_design_scores_gemma":[0.0000739982,0.0004459697,0.01036666,0.00001005475,0.0001272894,0.001097276,0.00005972684,0.03200437,0.9443157,0.0003851808,0.01103442,0.00007929518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7032666,0.002361484,0.2597443,0.0009996361,0.0001524402,0.001128735,0.01810312,0.007596861,0.006646787],"genre_scores_gemma":[0.7307857,0.002360538,0.2300648,0.0004341727,0.0000443344,0.001946828,0.02385332,0.000583638,0.009926757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002534952,"threshold_uncertainty_score":0.008480251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902034291303245,"score_gpt":0.3162624901024795,"score_spread":0.287242147189447,"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."}}