{"id":"W4318693069","doi":"10.32920/21985082.v1","title":"MICAL2 ﬁne-tunes Arp2/3 for actin branching","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Cancer Research UK","keywords":"Actin; Branching (polymer chemistry); Protein subunit; Cell biology; Chemistry; Biology; Biochemistry; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000189415,0.000333871,0.0002962877,0.00006743275,0.00008298585,0.00005604828,0.0005038092,0.0006361364,0.0000123185],"category_scores_gemma":[0.0002441052,0.0003264906,0.0002574688,0.0000472461,0.00008418362,0.000002299533,0.0009882718,0.0003226718,0.00001559289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002631236,"about_ca_system_score_gemma":0.00009874906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004209668,"about_ca_topic_score_gemma":0.00005668896,"domain_scores_codex":[0.998334,0.00002855443,0.0003045364,0.000850645,0.0001011438,0.0003811128],"domain_scores_gemma":[0.9988961,0.00003381098,0.000148436,0.0007442126,0.0001037271,0.00007374025],"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":[0.00006499622,0.00002578608,0.0001760358,0.0001439811,0.00004841391,0.000001255524,0.00001886651,0.00006807828,0.977581,0.0001081071,0.01920667,0.002556843],"study_design_scores_gemma":[0.000164433,0.00008634019,0.00007408659,0.0000965817,0.00001951729,0.000002563978,0.00002864774,0.0001056703,0.9472697,0.00456228,0.04718349,0.0004067007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0558034,0.0004728673,0.9394425,0.000733219,0.0008529807,0.001345212,0.0002174972,0.0004838735,0.0006484228],"genre_scores_gemma":[0.153168,0.001214481,0.819905,0.0009708641,0.001690414,0.001260292,0.002536837,0.0003681986,0.01888594],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1195375,"threshold_uncertainty_score":0.9999187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03886107425907796,"score_gpt":0.3617458613439173,"score_spread":0.3228847870848394,"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."}}