{"id":"W2052264366","doi":"10.1016/j.aca.2005.12.046","title":"Analysis of protein interaction networks using mass spectrometry compatible techniques","year":2006,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Chemistry; Mass spectrometry; Protein–protein interaction; Computational biology; Identification (biology); Chromatography; Biological system; Nanotechnology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001638373,0.0001550746,0.0003037325,0.0002673854,0.00005398145,0.00003297372,0.0001850908,0.0001562633,0.00004794623],"category_scores_gemma":[0.000009969111,0.0001477885,0.0002333743,0.0006492343,0.00006604984,0.000008166702,0.00007052474,0.0001256266,9.15827e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002991552,"about_ca_system_score_gemma":0.00002779778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006519971,"about_ca_topic_score_gemma":0.00006431383,"domain_scores_codex":[0.9989846,0.00002995922,0.0004191015,0.0002210994,0.0001123718,0.0002328946],"domain_scores_gemma":[0.9992195,0.00001104685,0.0002669998,0.0003843549,0.00007332978,0.00004480299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000582877,0.00008918771,0.003045416,0.00001613591,0.0008669992,5.899228e-7,0.000007601036,0.001544513,0.9930465,0.0003312292,0.000708987,0.0002845165],"study_design_scores_gemma":[0.0002734071,0.0002311905,0.003867151,0.00004497732,0.001245866,0.000006348029,0.00005518024,0.6985319,0.2921261,0.0004742097,0.002693494,0.0004500949],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460185,0.00004336463,0.04681516,0.00008321157,0.00004869965,0.0002426271,0.00002055899,0.00002317423,0.00670477],"genre_scores_gemma":[0.9884992,0.00002818311,0.01079299,0.00005683503,0.0001861642,0.00000442231,0.0002719793,0.0000152962,0.0001449239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7009204,"threshold_uncertainty_score":0.6026639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00876628356496815,"score_gpt":0.2479341257907317,"score_spread":0.2391678422257635,"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."}}