{"id":"W95044645","doi":"10.1016/s1876-1623(08)76001-2","title":"Preparation and Characterization of Bacterial Protein Complexes for Structural Analysis","year":2009,"lang":"en","type":"review","venue":"Advances in protein chemistry and structural biology","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; McGill University; National Research Council Canada; Concordia University; Biotechnology Research Institute","funders":"National Research Council Canada; Canadian Institutes of Health Research","keywords":"Characterization (materials science); Structural biology; Protein subunit; Computational biology; Chemistry; Protein structure; Macromolecule; Structural genomics; Function (biology); Biological system; Nanotechnology; Biochemistry; Biology; Materials science; Cell biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001458821,0.0003765936,0.001337669,0.0000793138,0.0001027607,0.00004022299,0.0001648347,0.0004122895,0.000102675],"category_scores_gemma":[0.00006882529,0.0002824217,0.0001376122,0.0002430981,0.0003123352,0.0002887138,0.00005477479,0.0001527328,1.852385e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003475137,"about_ca_system_score_gemma":0.0000449382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006595074,"about_ca_topic_score_gemma":0.00001419443,"domain_scores_codex":[0.9981874,0.0001139426,0.0007385779,0.0006305145,0.0000766149,0.0002529412],"domain_scores_gemma":[0.9988745,0.00005780927,0.0007409424,0.0002126632,0.00006658005,0.00004751615],"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":[0.0001538112,0.000002643437,0.00001743843,0.005357199,0.00004978879,3.991214e-7,0.00003749431,0.000001680363,0.6927925,0.0004095201,2.333053e-7,0.3011773],"study_design_scores_gemma":[0.00214099,0.001170285,0.0004066254,0.004240595,0.002303125,0.0001259875,0.00003961294,0.0003388607,0.6867169,0.03004324,0.2700832,0.002390689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3984935,0.5989671,0.0002567874,0.000005668736,0.0001493169,0.001467743,0.0006101542,0.00002519408,0.00002453415],"genre_scores_gemma":[0.1908803,0.7960809,0.005037376,0.000009089903,0.0006830366,0.0005669652,0.006595488,0.0000333801,0.000113459],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2987866,"threshold_uncertainty_score":0.9999628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298136078983227,"score_gpt":0.3237300498683038,"score_spread":0.3107486890784716,"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."}}