{"id":"W2505965549","doi":"10.4018/978-1-5225-0115-2.ch007","title":"Protein-Protein Docking","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in medical technologies and clinical practice book series","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Docking (animal); Macromolecular docking; Search algorithm; Algorithm; Theoretical computer science; Artificial intelligence; Protein structure; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008286858,0.0004538698,0.0006224178,0.00007525491,0.0001076566,0.00003483202,0.0006131246,0.002174424,0.00008309692],"category_scores_gemma":[0.009881217,0.0003352627,0.0001623108,0.00003350353,0.0018864,0.0001122321,0.0009531056,0.001359549,0.00001501531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002662091,"about_ca_system_score_gemma":0.0002018315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001985492,"about_ca_topic_score_gemma":0.00007519501,"domain_scores_codex":[0.9971798,0.00007086139,0.0009363148,0.0009180062,0.0004964641,0.0003985251],"domain_scores_gemma":[0.9981804,0.0002738581,0.000568119,0.0007387738,0.0001173765,0.0001214451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004965526,0.00003319643,0.0000235282,0.0001023231,0.00009678701,0.0002402342,0.000002690575,2.408989e-7,0.0003654798,0.327509,0.000160837,0.6709692],"study_design_scores_gemma":[0.0004787876,0.0007568776,0.000003447008,0.0006767882,0.00003244928,0.000101637,0.00009266954,0.000001828188,0.0006396601,0.132494,0.8643019,0.0004200118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001117249,0.2279207,0.00254249,0.01799016,0.0006813479,0.001886507,0.00006151789,0.0004558787,0.7473441],"genre_scores_gemma":[0.01224902,0.741356,0.0178129,0.003014627,0.001185278,0.000257496,0.0000654133,0.0001904129,0.2238689],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.864141,"threshold_uncertainty_score":0.9999099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021103389254071,"score_gpt":0.3316988149736064,"score_spread":0.3214877810810657,"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."}}