{"id":"W2071394295","doi":"10.1074/mcp.t400023-mcp200","title":"A High Throughput Method for the Detection of Metalloproteins on a Microgram Scale","year":2005,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Trace Elements in Health","field":"Nursing","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metalloprotein; Chemistry; Proteome; Context (archaeology); Zinc; Chemiluminescence; Mass spectrometry; Chromatography; Biochemistry; Enzyme; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001156867,0.0002850896,0.0003564071,0.0001112043,0.0002750847,0.00005076545,0.0003962954,0.0001903676,0.00001529567],"category_scores_gemma":[0.0001248935,0.000236196,0.0003037818,0.000280217,0.00009259957,0.00008174874,0.00006310456,0.0003657983,0.00001621179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002273293,"about_ca_system_score_gemma":0.00004176143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003752657,"about_ca_topic_score_gemma":0.0001483378,"domain_scores_codex":[0.9977619,0.0002857795,0.0005522482,0.0004956501,0.0003907862,0.0005136346],"domain_scores_gemma":[0.9984997,0.0001415578,0.0003383144,0.0008121816,0.0001308963,0.00007736778],"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":[0.0003668501,0.0002219288,0.000006324124,0.00009599885,0.00008410805,0.000001532199,0.0002658554,0.001799598,0.8642623,0.0004268837,0.00002142955,0.1324471],"study_design_scores_gemma":[0.001144691,0.0007712964,0.00003717535,0.00003924469,0.0001786849,0.000007517397,0.00005843995,0.008544874,0.96968,0.001104053,0.01821336,0.0002206877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3693915,0.0006017377,0.6233368,0.00221835,0.0004481042,0.00387931,0.0000220919,0.00007597495,0.00002610106],"genre_scores_gemma":[0.5753221,0.000007636069,0.4232348,0.0005689285,0.0001736191,0.0005578042,0.00001115488,0.00007336634,0.00005056919],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2059306,"threshold_uncertainty_score":0.9631793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270355221316431,"score_gpt":0.2918613485812642,"score_spread":0.2791577963680998,"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."}}