{"id":"W2765332035","doi":"10.1073/pnas.1711310114","title":"CRISPR/Cas9 knockouts reveal genetic interaction between strain-transcendent erythrocyte determinants of <i>Plasmodium falciparum</i> invasion","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Government of Canada; National Institutes of Health; National Heart, Lung, and Blood Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Wellcome Trust","keywords":"Biology; Gene knockout; CRISPR; CD44; Plasmodium falciparum; Gene; Haematopoiesis; Genetic screen; Genome editing; RNA interference; Genetics; Cell biology; Phenotype; Stem cell; Immunology; Cell; Malaria; RNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001740049,0.0003083422,0.0002062562,0.0001970277,0.0001741756,0.0004343376,0.0003436907,0.0003307056,0.001854193],"category_scores_gemma":[0.0001945881,0.0001846879,0.0002223769,0.00009272268,0.0003268662,0.0001456681,0.0002580756,0.0008546839,0.0006152728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004329995,"about_ca_system_score_gemma":0.0002191849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009995735,"about_ca_topic_score_gemma":0.002009061,"domain_scores_codex":[0.9998084,0.0000218078,0.0000313943,0.00004722129,0.00006157748,0.00002968489],"domain_scores_gemma":[0.9997508,0.0000596992,0.00008683325,0.00002815498,0.00001254209,0.00006197867],"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":[0.00003522113,0.00001160633,0.0001074422,0.00001253709,0.000004283273,0.00006124138,0.00001028454,0.00008529405,0.9986981,0.0002411447,0.00005317329,0.0006796141],"study_design_scores_gemma":[0.000008073258,0.00003508582,0.001815877,0.000003651334,0.000009565659,0.0003444393,0.00001757211,0.002003576,0.992661,0.00007509372,0.003018935,0.000007099049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747489,0.0003562257,0.01982553,0.0001834361,0.00007055675,0.00004629634,0.0009757964,0.0005356263,0.003257805],"genre_scores_gemma":[0.9871426,0.0002355441,0.0082038,0.00007685139,0.000006915305,0.00002216829,0.0005425435,0.000174647,0.003594998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001854193,"threshold_uncertainty_score":0.006202877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05596000464235557,"score_gpt":0.3387520031292817,"score_spread":0.2827919984869261,"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."}}