{"id":"W1978957247","doi":"10.1104/pp.107.103465","title":"A Predicted Interactome for Arabidopsis","year":2007,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":311,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Interactome; Arabidopsis; Biology; Arabidopsis thaliana; Caenorhabditis elegans; Protein–protein interaction; Computational biology; Proteome; Genetics; Gene; Mutant","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001445169,0.0001018673,0.0001234615,0.00003055534,0.00004396792,0.000006116811,0.000131628,0.0001436681,0.00001643215],"category_scores_gemma":[0.00002071753,0.00008849622,0.00007091775,0.00003279893,0.00004077705,0.000001780873,0.00005759642,0.00005938356,0.000008780189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006149393,"about_ca_system_score_gemma":0.00001834989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003429786,"about_ca_topic_score_gemma":0.0000192155,"domain_scores_codex":[0.9993157,0.000008709953,0.0001932477,0.0001707891,0.00003134569,0.0002801941],"domain_scores_gemma":[0.999616,0.00003894961,0.00007196515,0.0001793235,0.00003616643,0.0000575457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006983956,0.00004828636,0.000159969,0.00003303339,0.000091864,9.491544e-7,0.00007757194,0.00004479124,0.9779359,0.0005729504,0.01627267,0.004063652],"study_design_scores_gemma":[0.003135365,0.001813628,0.03185109,0.00005176663,0.00006650815,0.0001187792,0.000269844,0.005584635,0.2052277,0.004232942,0.7468079,0.0008397773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713271,0.0001450172,0.02558248,0.0000533476,0.0005292005,0.0002935828,0.0002913846,0.00002112277,0.001756788],"genre_scores_gemma":[0.9958976,0.0000372208,0.00130996,0.000582426,0.0005357903,0.0000178134,0.001360699,0.00001126562,0.0002472425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7727082,"threshold_uncertainty_score":0.3608771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00849417497471957,"score_gpt":0.2343256307934148,"score_spread":0.2258314558186952,"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."}}