{"id":"W4389480928","doi":"10.1038/s41592-023-02123-3","title":"Structural biology in the age of AI","year":2023,"lang":"en","type":"article","venue":"Nature Methods","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Computational biology; Biology; Computer science; Bioinformatics","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":[0.008567678,0.000711569,0.001023291,0.001599415,0.001653353,0.003606953,0.001588976,0.003237163,0.006578307],"category_scores_gemma":[0.01320475,0.00059031,0.0004916476,0.0008687,0.007783014,0.01266031,0.00478875,0.01046851,0.002358469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002379303,"about_ca_system_score_gemma":0.001579379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036673,"about_ca_topic_score_gemma":0.001019312,"domain_scores_codex":[0.9982929,0.0007094645,0.00005440247,0.0001944827,0.0005992207,0.0001496578],"domain_scores_gemma":[0.9911366,0.005102444,0.0003028669,0.001443416,0.001107823,0.0009070046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007964527,0.00005292395,0.0004784667,0.0003618966,0.00002694279,0.00008973531,0.0005212697,0.0009978933,0.002843281,0.9295666,0.01649232,0.048489],"study_design_scores_gemma":[0.00002102363,0.00003590469,0.0002829558,0.0001680187,0.000009668124,0.0001361221,0.0001790779,0.005783575,0.001592036,0.8422174,0.1495498,0.00002438277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02407559,0.2192854,0.3604364,0.2408927,0.01987837,0.0001030171,0.0006166024,0.002148934,0.1325631],"genre_scores_gemma":[0.5002416,0.16685,0.2338953,0.03423794,0.01804318,0.0004897616,0.0006297781,0.0009171943,0.04469529],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008567678,"threshold_uncertainty_score":0.04531074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394564322451787,"score_gpt":0.3942365986060699,"score_spread":0.3802909553815521,"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."}}