{"id":"W4312466774","doi":"10.1016/j.mcpro.2022.100308","title":"Integrative Structural Biology to Understand Biological Complexity","year":2022,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Computational biology; Biology; Evolutionary biology; Data science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001456607,0.000714952,0.0007399938,0.001369555,0.0008045236,0.003120581,0.001030149,0.001109203,0.006940893],"category_scores_gemma":[0.001338041,0.0002741307,0.0007787611,0.001013759,0.00301408,0.003443361,0.002428154,0.002610463,0.001843356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002449413,"about_ca_system_score_gemma":0.001870335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001214743,"about_ca_topic_score_gemma":0.00133884,"domain_scores_codex":[0.9995978,0.0001231515,0.0000180667,0.00011837,0.0001016205,0.00004090398],"domain_scores_gemma":[0.9993316,0.0001821978,0.00007115161,0.0002002174,0.00009831431,0.0001166762],"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":[0.00007303605,0.00006153274,0.0021122,0.0007090149,0.000163223,0.0001778734,0.001195906,0.005580937,0.03353571,0.8072899,0.02147249,0.1276282],"study_design_scores_gemma":[0.00001983754,0.00008296839,0.004082317,0.0003042987,0.00006508669,0.0003326872,0.0007535381,0.00816713,0.004811989,0.5679622,0.4133827,0.0000352293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05940799,0.1195507,0.5447291,0.06175794,0.003093996,0.0003416604,0.004211448,0.005442606,0.2014645],"genre_scores_gemma":[0.5018999,0.08886202,0.343056,0.01043464,0.002427597,0.0007472347,0.008621736,0.001126714,0.04282419],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006940893,"threshold_uncertainty_score":0.02321965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03904450294514473,"score_gpt":0.2948261948796193,"score_spread":0.2557816919344745,"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."}}