{"id":"W2750879512","doi":"10.1007/978-3-319-89963-3","title":"Tools and Algorithms for the Construction and Analysis of Systems","year":2018,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Exploratory Research for Advanced Technology; Russian Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; Electronic Components and Systems for European Leadership; Agence Nationale de la Recherche; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Conseil Régional, Île-de-France; European Commission; Universität Passau; Boise State University; Vetenskapsrådet; National Science Foundation; Institut national de recherche en informatique et en automatique (INRIA); Région Auvergne-Rhône-Alpes","keywords":"Computer science; Flexibility (engineering); Reliability (semiconductor); Algorithm; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001960966,0.002880466,0.001943919,0.002637536,0.0009962508,0.00416661,0.002160164,0.001433732,0.01183695],"category_scores_gemma":[0.007886957,0.001517725,0.002280842,0.003522863,0.003074411,0.004894086,0.00280492,0.00653579,0.006923335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051848,"about_ca_system_score_gemma":0.001690019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001517438,"about_ca_topic_score_gemma":0.001104247,"domain_scores_codex":[0.9974256,0.0006133075,0.0001736095,0.0003089831,0.001349164,0.0001292329],"domain_scores_gemma":[0.9970756,0.001853892,0.0001094517,0.0005210158,0.000379658,0.00006041457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001811777,0.00003068022,0.0001185742,0.0004502324,0.0000544915,0.00005857877,0.0001478428,0.0373219,0.001135356,0.8044566,0.02314253,0.1330651],"study_design_scores_gemma":[0.00001518887,0.00001881306,0.00008646375,0.00008690976,0.00001613084,0.00007405256,0.00002828444,0.08681416,0.000687502,0.8637353,0.04842021,0.00001696036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004437146,0.002306608,0.9844338,0.0003446355,0.0002300449,0.00003194157,0.0001572922,0.0007044402,0.01134752],"genre_scores_gemma":[0.03899802,0.00831694,0.9316327,0.0004042646,0.0007378192,0.0004823518,0.001048763,0.001019049,0.01736021],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01183695,"threshold_uncertainty_score":0.03959852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600753819703719,"score_gpt":0.2382782236521835,"score_spread":0.2222706854551463,"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."}}