{"id":"W2136895615","doi":"10.1002/prca.200780043","title":"Proteomics‐based investigations of animal models of disease","year":2008,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Heart and Stroke Foundation; Canadian Heart Research Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Genome Canada","keywords":"Proteomics; Proteome; Computational biology; Disease; Human disease; Proteogenomics; Biology; Bioinformatics; Genomics; Computer science; Genome; Medicine; Pathology; Gene; Genetics","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":[0.0002961698,0.0002597379,0.0005167222,0.00009545469,0.0002441718,0.00000864111,0.0007008371,0.0002436647,0.00008613709],"category_scores_gemma":[0.0002128933,0.0002767092,0.0003522861,0.0004375063,0.001075096,0.0001529901,0.0001580005,0.0004636758,0.00001465185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005169242,"about_ca_system_score_gemma":0.0005575635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002683521,"about_ca_topic_score_gemma":0.000001758426,"domain_scores_codex":[0.9971879,0.00003506593,0.001606298,0.000605865,0.0002822897,0.0002825576],"domain_scores_gemma":[0.9966495,0.0003059795,0.0009580565,0.001309557,0.0004156058,0.0003612863],"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":[0.0006719689,0.003489928,0.02683534,0.0007295755,0.0001163783,0.00000168021,0.00009896312,0.004021785,0.6365279,0.3256219,0.0004060711,0.001478486],"study_design_scores_gemma":[0.001261388,0.0001539186,0.001179679,0.0001174423,0.0001333994,0.000004009182,0.0000201012,0.04575148,0.6755415,0.2723812,0.002861135,0.0005947376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3407519,0.00006465011,0.6534364,0.0008097196,0.000008135228,0.002066304,0.0006093883,0.0001967449,0.002056782],"genre_scores_gemma":[0.5463158,0.0001307493,0.4487494,0.00008426282,0.00007605523,0.004394132,0.0001288088,0.00003939222,0.00008140851],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2055639,"threshold_uncertainty_score":0.9999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08958939109423843,"score_gpt":0.3594973543475266,"score_spread":0.2699079632532882,"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."}}