{"id":"W2022906936","doi":"10.1586/14789450.5.4.549","title":"The 8th International Conference of the Canadian Proteomics Initiative","year":2008,"lang":"en","type":"article","venue":"Expert Review of 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 Victoria","funders":"","keywords":"Proteomics; Genomics; Library science; Quantitative proteomics; Proteogenomics; Data science; Political science; Biology; Genome; Computer science; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009541785,0.001733542,0.0009697746,0.003853291,0.006175953,0.01169766,0.002788886,0.004342568,0.04998653],"category_scores_gemma":[0.006060612,0.0005996242,0.0009207135,0.003507626,0.002373288,0.002563218,0.004179236,0.005416753,0.0146519],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03735817,"about_ca_system_score_gemma":0.1140929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.468508,"about_ca_topic_score_gemma":0.6138305,"domain_scores_codex":[0.9909326,0.0005834429,0.000193899,0.0006848798,0.005653205,0.001952077],"domain_scores_gemma":[0.9887455,0.000193695,0.0001893248,0.0001942405,0.006028358,0.004648935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003069904,0.00002179578,0.0001850115,0.00009955411,0.000005668709,0.00006355605,0.0001224818,0.00003434548,0.0004377566,0.004339053,0.9641436,0.03051641],"study_design_scores_gemma":[0.000002110267,0.000003179411,0.0003447802,0.00003649019,0.00000155221,0.00002360896,0.00009973509,0.00001309753,0.00006679958,0.0002487813,0.9991543,0.000005447826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00334161,0.1564525,0.005126238,0.3318593,0.1606462,0.00060339,0.003202019,0.0007281397,0.3380407],"genre_scores_gemma":[0.02696937,0.07848329,0.006562152,0.0466642,0.01692432,0.0003283558,0.004507104,0.0004512035,0.8191099],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9626418,"threshold_uncertainty_score":0.9315619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04695661387313287,"score_gpt":0.3227049328728684,"score_spread":0.2757483189997356,"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."}}