{"id":"W3083389769","doi":"10.3390/app10186173","title":"A Spring Search Algorithm Applied to Engineering Optimization Problems","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Mathematical optimization; Spring (device); Algorithm; Mathematics; Engineering; Mechanical engineering","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":[0.001002947,0.001388388,0.001047178,0.0009443482,0.0007994339,0.0009169413,0.0008932256,0.001565204,0.004702879],"category_scores_gemma":[0.002616683,0.0004740018,0.001105916,0.001263296,0.000854607,0.0008684864,0.001199206,0.001410792,0.001393977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005850727,"about_ca_system_score_gemma":0.001582108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00314224,"about_ca_topic_score_gemma":0.00275844,"domain_scores_codex":[0.999438,0.0001974447,0.00004339321,0.00007770531,0.0002103104,0.00003321097],"domain_scores_gemma":[0.9993945,0.0003487126,0.00004490109,0.00004906164,0.0001397162,0.00002297921],"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":[0.00005887153,0.00007409257,0.0009125069,0.0002601907,0.0001307618,0.0001983465,0.0001139462,0.7527279,0.003667969,0.06538389,0.006391313,0.1700802],"study_design_scores_gemma":[0.00002414286,0.00004570276,0.0001392285,0.00003302258,0.00001557627,0.00006299064,0.00001414769,0.9715647,0.0008559353,0.01687604,0.01035848,0.00001005008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003155171,0.000569027,0.9871428,0.0002920005,0.0001338638,0.00008280134,0.00004569072,0.0003506411,0.008228127],"genre_scores_gemma":[0.1610595,0.001417095,0.8224576,0.0003445281,0.0002128849,0.0007063446,0.0002508599,0.0002990252,0.01325217],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004702879,"threshold_uncertainty_score":0.01573265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0391604103543382,"score_gpt":0.2599731436853561,"score_spread":0.2208127333310179,"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."}}