{"id":"W2028435699","doi":"10.1109/bibmw.2011.6112397","title":"Analysis of relevant physicochemical properties in obligate and non-obligate protein-protein interactions","year":2011,"lang":"en","type":"article","venue":"","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Obligate; Discriminative model; Feature selection; Computational biology; Amino acid; Computer science; Redundancy (engineering); Biology; Artificial intelligence; Biochemistry","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":[0.0008924353,0.0007227272,0.0008820587,0.001904328,0.0004347594,0.0005790468,0.0004764498,0.000696445,0.0008657748],"category_scores_gemma":[0.002129221,0.0001296384,0.0008849532,0.001282022,0.0002385724,0.0005723979,0.0005695642,0.000515431,0.0004653718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002677653,"about_ca_system_score_gemma":0.0003099109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159392,"about_ca_topic_score_gemma":0.001512984,"domain_scores_codex":[0.9994274,0.0001152024,0.00005972077,0.0001721373,0.0001514723,0.00007415943],"domain_scores_gemma":[0.9985957,0.0005826553,0.0003944628,0.0001411496,0.0001709485,0.000115134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001628836,0.0009575544,0.3872228,0.001355827,0.0006542228,0.001453239,0.0002334379,0.07010244,0.2343786,0.002043903,0.01071151,0.2892576],"study_design_scores_gemma":[0.0000646075,0.0004525337,0.3282119,0.00003880983,0.0002881154,0.001605309,0.0001802861,0.608574,0.05250386,0.003494204,0.004481073,0.0001050928],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621242,0.001756279,0.03188146,0.0001353238,0.00002590833,0.00005184195,0.002260929,0.0007988694,0.0009651764],"genre_scores_gemma":[0.9783198,0.0003467416,0.01623015,0.0000309449,0.00002227138,0.00004348908,0.004607486,0.0000484454,0.0003506787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001904328,"threshold_uncertainty_score":0.004719675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208594150453478,"score_gpt":0.2291835390581183,"score_spread":0.2170975975535836,"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."}}