{"id":"W3005391720","doi":"10.1088/1751-8121/abb9ed","title":"One from many: estimating a function of many parameters","year":2020,"lang":"en","type":"article","venue":"Journal of Physics A Mathematical and Theoretical","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Sensitivity (control systems); Context (archaeology); Process (computing); Estimation theory; Quantum; Function (biology); Mathematics; Computer science; Applied mathematics; Mathematical optimization; Algorithm; Physics; Engineering; Quantum mechanics","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":[0.01001104,0.001513249,0.002183801,0.001402424,0.001209453,0.003448491,0.001681977,0.002595848,0.001971019],"category_scores_gemma":[0.05026117,0.0009783198,0.001176822,0.001059783,0.007371047,0.009718779,0.005057459,0.005184543,0.0003231209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001899854,"about_ca_system_score_gemma":0.001480392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252925,"about_ca_topic_score_gemma":0.0005797264,"domain_scores_codex":[0.9937528,0.002992267,0.0003000527,0.001283475,0.001238814,0.0004325953],"domain_scores_gemma":[0.9522116,0.03958071,0.002037728,0.004221063,0.001307858,0.0006409113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002721753,0.0000827257,0.001880431,0.0002782069,0.0001928992,0.0003559366,0.0003364694,0.2759121,0.007291937,0.685488,0.001017377,0.02689172],"study_design_scores_gemma":[0.00001197351,0.00004453387,0.0003980052,0.00005646061,0.0000305627,0.000135305,0.00004981172,0.4023758,0.005570767,0.5905015,0.0007740203,0.00005122528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04187547,0.0005541198,0.9474468,0.002699679,0.00006401959,0.00005291895,0.000123343,0.0002226106,0.006961031],"genre_scores_gemma":[0.9182423,0.0006155853,0.07861219,0.0006145817,0.0001511455,0.0001089509,0.0001279469,0.0001153,0.001411963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01001104,"threshold_uncertainty_score":0.05294412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188453306008287,"score_gpt":0.2257000674677182,"score_spread":0.2068547368668895,"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."}}