{"id":"W1995671308","doi":"10.1074/mcp.m300110-mcp200","title":"Depth of Proteome Issues","year":2004,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"National Institute of General Medical Sciences","keywords":"Proteome; Computational biology; Chemistry; Computer science; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001237099,0.0002655141,0.0003031283,0.00006759408,0.00009084543,0.00002673231,0.0004692293,0.0002145788,0.00009595472],"category_scores_gemma":[0.00003954988,0.000283039,0.0001813132,0.0002110013,0.0001412115,0.00008209651,0.0001484878,0.0003087719,0.00003100429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000105869,"about_ca_system_score_gemma":0.00009300919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008362674,"about_ca_topic_score_gemma":0.000003093606,"domain_scores_codex":[0.9985064,0.00001253962,0.0004419526,0.000428705,0.0002656082,0.0003447654],"domain_scores_gemma":[0.9986755,0.000006654961,0.0002526695,0.0008406306,0.0001172062,0.000107371],"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":[0.00001843237,0.0001245404,0.00005904593,0.0001248358,0.00002498258,0.00002185222,0.00006599371,0.0007026989,0.9792423,0.01918493,0.000006471195,0.0004238931],"study_design_scores_gemma":[0.0004760821,0.00003983024,0.000004076618,0.00007649576,0.00002227998,0.0000119636,0.00002498941,0.00006735572,0.942806,0.0541731,0.002009707,0.0002881142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6124663,0.0003551961,0.3823418,0.0002869392,0.00001153028,0.0006465272,0.00001935773,0.0001751244,0.003697258],"genre_scores_gemma":[0.623028,0.00004970406,0.3760067,0.00004484423,0.00004368784,0.0004528038,0.00004409946,0.00006139997,0.0002687629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03643632,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00889946133140648,"score_gpt":0.2556932934019867,"score_spread":0.2467938320705802,"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."}}