{"id":"W2770209350","doi":"10.1007/978-1-4939-7477-1_20","title":"Computational Analysis of the Chaperone Interaction Networks","year":2017,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Regina","funders":"Canadian Institutes of Health Research","keywords":"Computational biology; Chaperone (clinical); Epistasis; Budding yeast; Saccharomyces cerevisiae; Biology; DECIPHER; Interactome; Gene; Computer science; Bioinformatics; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001093611,0.0005890982,0.0009215324,0.001681636,0.0007186226,0.001082996,0.001450673,0.0006046829,0.003165538],"category_scores_gemma":[0.006592841,0.0004175185,0.001334539,0.001544231,0.0004057925,0.001105808,0.0006251792,0.0009746737,0.0004586995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000956441,"about_ca_system_score_gemma":0.001947734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006085847,"about_ca_topic_score_gemma":0.007604128,"domain_scores_codex":[0.9996101,0.0001677698,0.00001831779,0.00007653129,0.00008935093,0.00003789492],"domain_scores_gemma":[0.9960938,0.003195125,0.0001463719,0.0002312765,0.0002439891,0.00008931872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002347751,0.0001947836,0.003694854,0.0002131658,0.0001868354,0.0001214329,0.00004343595,0.9477808,0.001501,0.01687973,0.002238333,0.02691084],"study_design_scores_gemma":[0.00001083314,0.00000831911,0.0003374097,0.000003473001,0.00001713854,0.00001348406,0.000006543116,0.9917927,0.0002979673,0.007195075,0.0003142636,0.000002690975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5546794,0.001817282,0.4205947,0.002343043,0.0001392477,0.0001880993,0.007901022,0.003093315,0.009243826],"genre_scores_gemma":[0.8776271,0.0006388096,0.1133411,0.0001511025,0.00008071795,0.0003327456,0.005809261,0.0001699135,0.001849226],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006085847,"threshold_uncertainty_score":0.01210082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763467609211005,"score_gpt":0.375341499117032,"score_spread":0.357706823024922,"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."}}