{"id":"W4403150381","doi":"10.1007/978-3-031-72111-3_6","title":"Class and Region-Adaptive Constraints for Network Calibration","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Class (philosophy); Calibration; Artificial intelligence; Real-time computing; Mathematics; Statistics","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":[0.0008784625,0.001022265,0.0008368495,0.000673425,0.0003631065,0.001314169,0.001609491,0.001249621,0.009513315],"category_scores_gemma":[0.004572601,0.0005515855,0.0005676099,0.00146868,0.001096921,0.002289037,0.002012482,0.003097373,0.002387341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008007865,"about_ca_system_score_gemma":0.0005268009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613109,"about_ca_topic_score_gemma":0.001840393,"domain_scores_codex":[0.9992933,0.0002182515,0.00002207799,0.0001678401,0.0002578616,0.00004066611],"domain_scores_gemma":[0.9987286,0.000643453,0.0001185146,0.0002490501,0.0002194586,0.00004103623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009257485,0.00003398228,0.0001594241,0.0001965787,0.0000384663,0.00005988944,0.0000808713,0.1891945,0.008045222,0.5210561,0.01913289,0.2619095],"study_design_scores_gemma":[0.00001376537,0.00003709563,0.0002304622,0.00005211414,0.00001401328,0.0001501204,0.00003027981,0.6754655,0.004061455,0.2856607,0.03425145,0.00003311496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006468219,0.0003702156,0.9919724,0.0001004012,0.00005955896,0.00001253158,0.00007784802,0.00009542333,0.006664714],"genre_scores_gemma":[0.1597078,0.003941427,0.7817554,0.0004745052,0.0006817365,0.0003081004,0.0007869221,0.0007311541,0.05161295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009513315,"threshold_uncertainty_score":0.03182524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127532130405509,"score_gpt":0.228402293974265,"score_spread":0.20712697267021,"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."}}