{"id":"W1965168533","doi":"10.2144/000112799","title":"Interactive Proteomics: What Lies Ahead?","year":2008,"lang":"en","type":"review","venue":"BioTechniques","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Toolbox; Proteomics; Computational biology; Variety (cybernetics); Data science; Protein Interaction Networks; Computer science; Interaction network; Protein–protein interaction; Biology; Artificial intelligence; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004098933,0.001433609,0.002426013,0.001984015,0.0008361987,0.0041788,0.003051765,0.004712354,0.003643242],"category_scores_gemma":[0.002697967,0.0005547958,0.000682594,0.002592023,0.002890789,0.009634025,0.001977369,0.005163698,0.007133195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494509,"about_ca_system_score_gemma":0.001890952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014072,"about_ca_topic_score_gemma":0.001874687,"domain_scores_codex":[0.9991152,0.0002278824,0.00007075346,0.0001195125,0.0003698833,0.00009669524],"domain_scores_gemma":[0.9971845,0.001383415,0.0001444538,0.0001729727,0.0007752822,0.0003394275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005489334,0.00006129071,0.0002387928,0.006641478,0.00009053144,0.0003806801,0.0001684101,0.0004345246,0.001530189,0.02656824,0.0928878,0.8709432],"study_design_scores_gemma":[0.00001353422,0.00005962688,0.0003161185,0.001847633,0.00003263995,0.002105799,0.0002458921,0.0002328339,0.0006309938,0.02007207,0.974398,0.00004483596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001040045,0.9878598,0.002188947,0.006903686,0.001474555,0.000008078317,0.00001645337,0.00006770618,0.001376714],"genre_scores_gemma":[0.0009181461,0.9911669,0.002301113,0.002892215,0.001336387,0.00001458793,0.0000252292,0.00001663311,0.001328852],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004712354,"threshold_uncertainty_score":0.02167749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02233323235349343,"score_gpt":0.3073594658529616,"score_spread":0.2850262334994682,"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."}}