{"id":"W2769565216","doi":"10.1007/978-1-4939-7477-1_4","title":"Quantitative Profiling of Chaperone/Client Interactions with LUMIER Assay","year":2017,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"bioluminescence and chemiluminescence research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Chaperone (clinical); Profiling (computer programming); Scalability; Computational biology; Computer science; Chemistry; Biology; Database; Medicine","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":[0.002006866,0.002291642,0.002421662,0.002166233,0.001835667,0.002068115,0.002026933,0.001108272,0.005762896],"category_scores_gemma":[0.00100974,0.0009028603,0.001155316,0.002867874,0.001003026,0.001159367,0.0009310326,0.004077542,0.003365746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512165,"about_ca_system_score_gemma":0.0009763016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670664,"about_ca_topic_score_gemma":0.003855471,"domain_scores_codex":[0.9960924,0.0009291151,0.0001934708,0.0009063245,0.001092557,0.0007861989],"domain_scores_gemma":[0.9988726,0.0003667511,0.0001629906,0.00018696,0.0002560085,0.000154684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002780132,0.0001661574,0.0002822656,0.0001207817,0.00003522962,0.00002517293,0.00007440293,0.0001123028,0.9950747,0.0004153182,0.0006089002,0.002806708],"study_design_scores_gemma":[0.00001947904,0.0001109118,0.002325245,0.000008061801,0.00003359302,0.00005243231,0.00003158247,0.004014688,0.9910709,0.0001216693,0.002189392,0.0000221277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.525327,0.003242004,0.4402378,0.0007643987,0.0002840036,0.0007255142,0.007922289,0.01161295,0.009884055],"genre_scores_gemma":[0.5108706,0.005036462,0.4168525,0.0008843983,0.0002162459,0.00322439,0.01852196,0.002565645,0.04182785],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005762896,"threshold_uncertainty_score":0.01927882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04881804303461258,"score_gpt":0.465060626362053,"score_spread":0.4162425833274404,"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."}}