{"id":"W2949489221","doi":"10.1002/chin.200320293","title":"Structural Proteomics: Toward High‐Throughput Structural Biology as a Tool in Functional Genomics","year":2003,"lang":"en","type":"article","venue":"ChemInform","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Chemistry; Structural genomics; Proteomics; Computational biology; Genomics; Throughput; Functional genomics; Nanotechnology; Biochemistry; Gene; Genome; Protein structure; Computer science; Biology","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":[0.003049782,0.0009215465,0.0007377118,0.001012545,0.000612858,0.002397564,0.0009750889,0.0009656413,0.00450933],"category_scores_gemma":[0.001550841,0.0005841199,0.0005619386,0.0008499766,0.001133219,0.002450303,0.0008089049,0.002401877,0.004076144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210874,"about_ca_system_score_gemma":0.001143524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007319333,"about_ca_topic_score_gemma":0.001301052,"domain_scores_codex":[0.9993784,0.0001791548,0.00002136596,0.0000910584,0.0002762953,0.00005368809],"domain_scores_gemma":[0.9992551,0.0002473868,0.0000496624,0.000103717,0.0002271336,0.0001169261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004996427,0.0002455926,0.001097646,0.001243539,0.0001014053,0.0001992581,0.0001715453,0.002342073,0.748516,0.040381,0.02966796,0.1755345],"study_design_scores_gemma":[0.0001724384,0.0005055599,0.00297623,0.0001586975,0.0001090122,0.001131337,0.0001423205,0.01553188,0.7110034,0.04129293,0.2268868,0.00008937587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.07362329,0.05697062,0.8027596,0.03072336,0.002625208,0.0003778154,0.003320668,0.005710335,0.02388915],"genre_scores_gemma":[0.2818427,0.07465588,0.5982291,0.00590997,0.001286327,0.0003682185,0.008143564,0.0008696576,0.02869455],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00450933,"threshold_uncertainty_score":0.01612896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876746632111067,"score_gpt":0.2451014654318424,"score_spread":0.2263339991107317,"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."}}