{"id":"W2076117996","doi":"10.1504/ijbra.2009.028679","title":"Scatter Search algorithm for Protein Structure Prediction","year":2009,"lang":"en","type":"article","venue":"International Journal of Bioinformatics Research and Applications","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Université Libanaise; Lebanese American University","keywords":"Protein Data Bank; Evolutionary algorithm; Algorithm; Protein structure prediction; Protein structure; Computer science; Population; Mathematics; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118872,0.0007824218,0.001177746,0.001743668,0.0005850097,0.0007390572,0.0009037137,0.001112255,0.003664572],"category_scores_gemma":[0.002294962,0.0004336553,0.0007082337,0.001962725,0.0005622791,0.001015258,0.000836649,0.0008354074,0.002023512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005308765,"about_ca_system_score_gemma":0.001133347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004188981,"about_ca_topic_score_gemma":0.003230995,"domain_scores_codex":[0.999519,0.000138752,0.00002939754,0.00007698443,0.000203392,0.00003241681],"domain_scores_gemma":[0.9992099,0.0004243882,0.00006034364,0.00007302501,0.0001992833,0.0000329932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002827116,0.0001056086,0.002507362,0.0001982115,0.0001498633,0.0001262543,0.000131922,0.5385026,0.005387455,0.02619066,0.01060922,0.4158081],"study_design_scores_gemma":[0.00002966324,0.00002873171,0.0002154028,0.00001344657,0.000009070214,0.00004845548,0.00001362193,0.9858635,0.001031777,0.009488643,0.003250163,0.000007440164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006325253,0.000503776,0.990315,0.00008888468,0.00003240093,0.00005074838,0.00009415844,0.001479543,0.001110104],"genre_scores_gemma":[0.1327386,0.0007044648,0.8604923,0.0001416046,0.00005954943,0.0003946812,0.001078886,0.0003559176,0.004034073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004188981,"threshold_uncertainty_score":0.01225924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495632422980537,"score_gpt":0.3382518319953433,"score_spread":0.3232955077655379,"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."}}