{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001051148,0.00015328,0.0001519493,0.00004435407,0.00007901539,0.00001204203,0.0001180525,0.0001786388,0.00001145648],"category_scores_gemma":[0.00008435545,0.0001236342,0.00004248399,0.00009024172,0.0001794308,0.00001205432,0.0001496113,0.000123437,0.000001548379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001399856,"about_ca_system_score_gemma":0.00006239711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006506753,"about_ca_topic_score_gemma":0.000008437067,"domain_scores_codex":[0.9991876,0.00004990268,0.0002402455,0.0002777304,0.00007080947,0.0001736471],"domain_scores_gemma":[0.9994229,0.00000122507,0.0001292554,0.0002376424,0.0001535885,0.00005536331],"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":[0.0002783352,0.00003979016,0.003756867,0.00004187567,0.00003524637,7.703196e-7,0.0001222577,0.000002791643,0.9946318,0.000286743,0.00000277482,0.0008007084],"study_design_scores_gemma":[0.000239122,0.0004539718,0.002449197,0.00004777075,0.0000128336,0.0000339842,0.00004430324,0.0003318911,0.9950157,0.0009177588,0.0003199917,0.0001334062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830549,0.000367598,0.01530139,0.00001035107,0.0000758918,0.0009014555,0.00002776466,0.00002025573,0.0002403554],"genre_scores_gemma":[0.9624668,0.00003183408,0.03719235,0.00002041553,0.00009267422,0.00007529628,0.00002647063,0.00001707763,0.00007704781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02189096,"threshold_uncertainty_score":0.5041657,"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."}}