{"id":"W2089355842","doi":"10.1002/pmic.201100186","title":"Prediction of biological protein–protein interactions using atom‐type and amino acid properties","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Obligate; Support vector machine; Atom (system on chip); Amino acid; Curse of dimensionality; Computer science; Type (biology); Pattern recognition (psychology); Biological system; Chemistry; Crystallography; Artificial intelligence; Biology; Biochemistry","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":[0.0005653692,0.0006131109,0.0008226246,0.00204604,0.0003270398,0.0005315905,0.0004297436,0.0004796219,0.000739357],"category_scores_gemma":[0.001816639,0.0002037276,0.0007763803,0.001206833,0.0002080263,0.000694886,0.0004295382,0.0004840695,0.0006346796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002386746,"about_ca_system_score_gemma":0.0001674268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008326659,"about_ca_topic_score_gemma":0.001121097,"domain_scores_codex":[0.9996954,0.0000718525,0.00004201236,0.00007876124,0.00008885403,0.00002297127],"domain_scores_gemma":[0.9988153,0.0004123755,0.0003499204,0.0001709794,0.000155725,0.00009573539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001527787,0.0004850455,0.5826503,0.0005707145,0.0006145429,0.000510752,0.0001990116,0.05728546,0.2310176,0.0011183,0.001839727,0.1221807],"study_design_scores_gemma":[0.00003634794,0.0002682524,0.361895,0.0000230532,0.0001480923,0.001000673,0.0001591198,0.5824522,0.0488643,0.00283291,0.002262292,0.0000578366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656851,0.0007113187,0.03125018,0.00004409681,0.00001016129,0.00002816643,0.00132421,0.0003377116,0.0006090687],"genre_scores_gemma":[0.9698225,0.000238369,0.02614811,0.00001248084,0.000007848152,0.00002674125,0.003496577,0.00003585999,0.0002114476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00204604,"threshold_uncertainty_score":0.002989948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05855385018667748,"score_gpt":0.2422690175088662,"score_spread":0.1837151673221888,"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."}}