{"id":"W2795216948","doi":"10.1002/cpbi.38","title":"Prediction of Protein‐Protein Interactions","year":2017,"lang":"en","type":"review","venue":"Current Protocols in Bioinformatics","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; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Computer science; Computational biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001893111,0.002096086,0.002108553,0.004369517,0.0003477694,0.001755474,0.001641241,0.0009800942,0.003140681],"category_scores_gemma":[0.003033751,0.0005167991,0.0016788,0.003000094,0.00033736,0.001337432,0.001203226,0.001344115,0.006319073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005093975,"about_ca_system_score_gemma":0.000809278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000982804,"about_ca_topic_score_gemma":0.001092401,"domain_scores_codex":[0.9989618,0.0001643766,0.00009001829,0.0002971755,0.0004151791,0.00007153044],"domain_scores_gemma":[0.9991177,0.0004241487,0.0001335802,0.00007495243,0.0002070071,0.00004252912],"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":[0.0001610675,0.0001317603,0.004863588,0.009715985,0.0007956218,0.0003680717,0.00006973096,0.005019195,0.01695814,0.005767821,0.04998762,0.9061613],"study_design_scores_gemma":[0.00007513005,0.0004597895,0.01838634,0.005613244,0.001832788,0.006281605,0.0001600619,0.04081684,0.05061096,0.02631513,0.8491604,0.0002876941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01002512,0.8549008,0.1087264,0.001702487,0.001262429,0.000269323,0.007279813,0.002529594,0.01330403],"genre_scores_gemma":[0.06167374,0.7970344,0.10583,0.001187858,0.0009466064,0.000329478,0.02473258,0.0003313088,0.007933953],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004369517,"threshold_uncertainty_score":0.01050663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1433647786724113,"score_gpt":0.4035496881769686,"score_spread":0.2601849095045573,"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."}}