{"id":"W4398247717","doi":"10.1007/s10623-024-01418-6","title":"Bounds on data limits for all-to-all comparison from combinatorial designs","year":2024,"lang":"en","type":"article","venue":"Designs Codes and Cryptography","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Combinatorial design; Combinatorics; Cryptography; Combinatorial algorithms; Discrete mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004158535,0.0003277744,0.0004038723,0.000304786,0.0001308244,0.0004293456,0.0004558834,0.0001677235,0.00002153284],"category_scores_gemma":[0.00001702058,0.0003077869,0.0001420555,0.0003895192,0.00005616683,0.0001810837,0.00004440526,0.0002032174,0.00003236861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001560959,"about_ca_system_score_gemma":0.00001325888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002984806,"about_ca_topic_score_gemma":0.00002205864,"domain_scores_codex":[0.9984097,0.00008110276,0.0003401939,0.0005468851,0.0002049446,0.000417188],"domain_scores_gemma":[0.9985922,0.0005253838,0.00002580849,0.0006072768,0.00002858725,0.0002207674],"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":[0.0007258281,0.0003647155,0.00149625,0.0008317685,0.00311618,0.00004859588,0.004105917,0.002173473,0.05982392,0.6427585,0.2635549,0.02099999],"study_design_scores_gemma":[0.001975468,0.001601381,0.0007253378,0.0007141958,0.0007140617,0.000009977715,0.0007519908,0.1039492,0.01030446,0.1353508,0.7421967,0.001706356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3849836,0.01229402,0.5840672,0.0002515656,0.008632878,0.002081771,0.002525174,0.001948706,0.00321511],"genre_scores_gemma":[0.9957963,0.000135348,0.002838669,0.0001782247,0.000390027,0.0001231498,0.0004523138,0.00007726041,0.000008740517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6108127,"threshold_uncertainty_score":0.9999374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09736931338553659,"score_gpt":0.309788310489445,"score_spread":0.2124189971039084,"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."}}