{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"31fb537f3346","filters":{"venue":"Lecture notes in control and information sciences - proceedings"}},"results":[{"id":"W2788106397","doi":"10.1007/978-3-319-67068-3_28","title":"Quadratic Hedging with Mixed State and Control Constraints","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences - proceedings","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematical optimization; Quadratic programming; Stochastic control; Optimal control; Quadratic equation; Portfolio; Constraint (computer-aided design); State (computer science); Mathematics; Convex optimization; Regular polygon; Computer science; Finance; Economics","authors":[{"name":"Andrew J. Heunis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01303542785905432,"gpt":0.2030362059141689,"spread":0.1900007780551146,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002166942,0.001418884,0.001766053,0.000395694,0.0003124934,0.002717568,0.001453942,0.001850897,0.007514989],"category_scores_gemma":[0.004756236,0.00125425,0.001002685,0.000903932,0.001132929,0.002489994,0.002304092,0.00219072,0.0007323602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006534315,"about_ca_system_score_gemma":0.0007818286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266101,"about_ca_topic_score_gemma":0.0009941658,"domain_scores_codex":[0.9990879,0.0003259969,0.00006038647,0.0001666497,0.0002720082,0.00008704123],"domain_scores_gemma":[0.9981298,0.001295537,0.0001483943,0.0001470443,0.0001963591,0.00008295233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002090581,0.0001032294,0.0003783359,0.0003682704,0.0001756125,0.000229844,0.000101821,0.7154379,0.002526509,0.2352205,0.003685068,0.04156381],"study_design_scores_gemma":[0.0000296779,0.00007995292,0.0001575159,0.00001485106,0.00001975173,0.00003527068,0.000006507119,0.9321114,0.0003215912,0.0660693,0.001139184,0.00001508783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01870951,0.001429928,0.962567,0.0006493204,0.0001823804,0.0000445581,0.0001691401,0.0001434606,0.01610461],"genre_scores_gemma":[0.871309,0.001344159,0.06673937,0.0003950877,0.0003537939,0.0001792515,0.0005532437,0.0001691152,0.05895706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007514989,"threshold_uncertainty_score":0.02514011,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2788349901","doi":"10.1007/978-3-319-67068-3_14","title":"Bioaugmentation Approaches for Suppression of Antibiotic Resistance: Model-Based Design","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences - proceedings","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Bioaugmentation; Limiting; Antibiotic resistance; Population; Stability (learning theory); Payload (computing); Sensitivity (control systems); Antibiotics; Computer science; Biology; Biological system; Biochemical engineering; Engineering; Microbiology; Genetics; Bacteria; Medicine; Machine learning; Computer security; Environmental health; Electronic engineering","authors":[{"name":"Aida Ahmadzadegan","is_ca":true},{"name":"Abdullah Hamadeh","is_ca":true},{"name":"Midhun Kathanaruparambil Sukumaran","is_ca":true},{"name":"Brian Ingalls","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0280195972200169,"gpt":0.2569683067428346,"spread":0.2289487095228177,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005951599,0.001143942,0.0009350565,0.0002980602,0.0002751519,0.001339017,0.001222939,0.0008976801,0.001586368],"category_scores_gemma":[0.0006508196,0.0004478855,0.001094793,0.0003423617,0.0005504671,0.0007450443,0.000634043,0.0008868487,0.0003673709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009390327,"about_ca_system_score_gemma":0.0008255572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001641734,"about_ca_topic_score_gemma":0.001710652,"domain_scores_codex":[0.9997424,0.00005615292,0.00001787182,0.00006882631,0.00009010909,0.00002463379],"domain_scores_gemma":[0.9997914,0.00009879756,0.00004544135,0.00001635268,0.00003701606,0.00001089845],"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":[0.0002017796,0.000235581,0.0003663435,0.0006983455,0.00009949947,0.00005588851,0.00006091539,0.8089784,0.07357491,0.02595156,0.0007654006,0.0890114],"study_design_scores_gemma":[0.00003969648,0.0003942298,0.0002038764,0.00004370042,0.0000840026,0.0000335688,0.0000165228,0.9608709,0.02252406,0.01044596,0.005319451,0.000024052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02475602,0.003449699,0.9622797,0.000272853,0.000112236,0.0001707428,0.0001125376,0.0006537145,0.008192542],"genre_scores_gemma":[0.6768443,0.006123834,0.3085806,0.0001691255,0.00004389448,0.0008211537,0.0002518571,0.0001295788,0.007035653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001641734,"threshold_uncertainty_score":0.006813169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}