{"id":"W4387826005","doi":"10.1016/j.cell.2023.09.017","title":"De novo protein identification in mammalian sperm using in situ cryoelectron tomography and AlphaFold2 docking","year":2023,"lang":"en","type":"article","venue":"Cell","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Maze Therapeutics; University of California, San Francisco; Echo Foundation; F. Hoffmann-La Roche; Helen Hay Whitney Foundation; Howard Hughes Medical Institute; National Institutes of Health; Old Dominion University; National Science Foundation","keywords":"Biology; Sperm; Docking (animal); In situ; Computational biology; Genetics","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":[0.00027559,0.0003749048,0.0002027284,0.0003227197,0.0002666054,0.0004708859,0.0004251165,0.0004441667,0.0009253029],"category_scores_gemma":[0.0002890032,0.0002496373,0.0003577447,0.0002715694,0.0001908668,0.0005993942,0.0005016383,0.0004316852,0.0003463796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004102783,"about_ca_system_score_gemma":0.0002783583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009374406,"about_ca_topic_score_gemma":0.001769648,"domain_scores_codex":[0.999911,0.000009494844,0.000005620522,0.00003117833,0.00002968306,0.00001312518],"domain_scores_gemma":[0.9998821,0.00002236722,0.00002604957,0.00002389973,0.00003010005,0.00001532483],"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":[0.00007550741,0.00001516569,0.003482997,0.00009637221,0.00002293017,0.0002503312,0.00006389819,0.005911347,0.9814244,0.001340427,0.0001709924,0.007145749],"study_design_scores_gemma":[0.00001230009,0.0001215882,0.01285015,0.00002628869,0.00003107414,0.0009982346,0.0001697389,0.1060981,0.8730284,0.0008894121,0.005745057,0.00002961035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8623563,0.0005358276,0.1343191,0.000142304,0.00003237359,0.00002570245,0.0005055857,0.0005572993,0.001525468],"genre_scores_gemma":[0.9012381,0.0006256067,0.09516314,0.00005792149,0.000007100239,0.00002424566,0.0008393866,0.0001783452,0.001866118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009374406,"threshold_uncertainty_score":0.003095448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008438222053048474,"score_gpt":0.2989885362753779,"score_spread":0.2905503142223295,"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."}}