{"id":"W4396557867","doi":"10.1101/2024.04.30.587787","title":"Molecular basis for plasma membrane recruitment of PI4KA by EFR3","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Biochemical and Molecular Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of British Columbia; University of Victoria","funders":"","keywords":"Basis (linear algebra); Plasma; Membrane; Chemistry; Biophysics; Computational biology; Biology; Biochemistry; Mathematics; Physics; Nuclear physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004808563,0.0005895253,0.0005744877,0.0001508751,0.00006421551,0.00009302377,0.0007375313,0.00100008,0.00001846183],"category_scores_gemma":[0.0003005306,0.0006029003,0.0004820508,0.0002523438,0.0002007053,0.000002973898,0.001302741,0.000569814,0.00001910215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009139967,"about_ca_system_score_gemma":0.0005589127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002314519,"about_ca_topic_score_gemma":9.373114e-7,"domain_scores_codex":[0.9968598,0.0001033285,0.0005681763,0.001371905,0.0004429299,0.0006538373],"domain_scores_gemma":[0.9976141,0.00003128056,0.0002261216,0.001331011,0.0004782038,0.0003193093],"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":[0.0001484346,0.0001816416,0.00002985325,0.001448683,0.0005449219,0.00001757376,0.000002003591,0.00001543634,0.9931046,0.0003938726,0.004095772,0.00001716257],"study_design_scores_gemma":[0.0005033686,0.0002283516,0.00004016239,0.0002982128,0.0001762179,2.654208e-8,0.000001332128,0.0001645056,0.9499611,0.000007014833,0.04802554,0.0005941411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850999,0.007904761,0.001875163,0.0005310252,0.0005595814,0.002050366,0.001853832,0.0000843774,0.00004097015],"genre_scores_gemma":[0.993633,0.0007782248,0.003609268,0.0002162169,0.0002631289,0.001228883,0.0000144613,0.0002059346,0.00005087863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04392977,"threshold_uncertainty_score":0.9996423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144973287974879,"score_gpt":0.2660872157887428,"score_spread":0.244637482908994,"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."}}