{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001188585,0.00048408,0.0008322555,0.0001129857,0.00009144105,0.0001356153,0.0004592277,0.001167781,0.00001231841],"category_scores_gemma":[0.00002386636,0.000394539,0.0005139124,0.00009644737,0.0001368126,0.00001428806,0.0003360714,0.000444167,0.00004781161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005513788,"about_ca_system_score_gemma":0.0002219465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007864405,"about_ca_topic_score_gemma":0.000003645147,"domain_scores_codex":[0.9985403,0.00007639815,0.0005481238,0.0004239826,0.0001021275,0.0003090945],"domain_scores_gemma":[0.9988003,0.00001637212,0.0003949947,0.0006441553,0.00006150288,0.00008266482],"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":[0.000009650395,0.00002469573,7.532346e-8,0.001095868,0.0001299683,0.000003920638,0.00003205167,8.274066e-8,0.0001030636,0.00003947429,0.0187885,0.9797726],"study_design_scores_gemma":[0.00004915937,0.0001784961,6.74229e-8,0.004114808,0.00005705097,0.0001662916,0.00002081442,0.000003307556,0.002604466,0.00008000243,0.9922658,0.0004597841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002916586,0.9929141,0.004417607,0.00002328207,0.0002706326,0.001162175,0.00004165342,0.00007649422,0.001091175],"genre_scores_gemma":[0.000004703313,0.9876033,0.01012627,0.0001450318,0.000633156,0.0002746519,0.000571096,0.00007375828,0.0005680252],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9793129,"threshold_uncertainty_score":0.9998506,"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."}}