{"id":"W2791395562","doi":"10.1177/2472555218763310","title":"ΔF508-CFTR Modulator Screen Based on Cell Surface Targeting of a Chimeric Nucleotide Binding Domain 1 Reporter","year":2018,"lang":"en","type":"article","venue":"SLAS DISCOVERY","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Biomedical Imaging and Bioengineering; National Eye Institute; Canadian Institutes of Health Research; Canada Research Chairs; Cystic Fibrosis Canada; Cystic Fibrosis Foundation Therapeutics; National Institutes of Health; Cystic Fibrosis Foundation","keywords":"Domain (mathematical analysis); Nucleotide; Chemistry; Cell biology; Molecular biology; Biology; Biochemistry; Gene","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":[0.0004028301,0.0008235469,0.0009449638,0.0005171561,0.0002175307,0.0003445202,0.0004940366,0.0005515547,0.001389123],"category_scores_gemma":[0.0002398414,0.0002412266,0.0004703485,0.0004572442,0.0002057693,0.0001853402,0.0004467851,0.0006686148,0.0006827833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003288604,"about_ca_system_score_gemma":0.0002836942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003581424,"about_ca_topic_score_gemma":0.0008819494,"domain_scores_codex":[0.999537,0.00007693357,0.00003838373,0.00008918809,0.0002031869,0.00005533374],"domain_scores_gemma":[0.9998384,0.00004326511,0.00003597101,0.00001855116,0.000036791,0.00002696073],"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":[0.00002699729,0.00003688808,0.00006788773,0.00003085305,0.000004620022,0.00003447201,0.000005797575,0.00005785057,0.9987394,0.00002574429,0.00002718221,0.000942284],"study_design_scores_gemma":[0.00002233091,0.000916503,0.001111289,0.000005244953,0.00002888664,0.0002493697,0.00001481972,0.0006065777,0.9948035,0.00001873772,0.002214504,0.000008274621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668489,0.002873846,0.02284119,0.0002859489,0.00008104358,0.0007390818,0.00261967,0.0004969827,0.003213343],"genre_scores_gemma":[0.9461375,0.004770569,0.03459173,0.0002651623,0.00002176987,0.000743358,0.004965347,0.0001073932,0.008397195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001389123,"threshold_uncertainty_score":0.004647076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115978658155371,"score_gpt":0.2801941698202321,"score_spread":0.268596304004695,"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."}}