{"id":"W7139935693","doi":"10.23919/cnc-usnc-ursi64444.2025.11420038","title":"Dual Design: Inferring Structure from Fundamental Limits","year":2025,"lang":"","type":"article","venue":"","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Dual (grammatical number); Limit (mathematics); Noise (video); Set (abstract data type); Sequence (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005004583,0.0003967371,0.0004141746,0.0002212528,0.0002026816,0.0003184291,0.0001831355,0.0002663226,0.007299003],"category_scores_gemma":[0.00003436489,0.0003601471,0.0001634531,0.0006587278,0.00003718881,0.0003027061,0.00009538499,0.0003010528,0.00003813289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083324,"about_ca_system_score_gemma":0.00004784186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003067224,"about_ca_topic_score_gemma":0.0001395187,"domain_scores_codex":[0.9983913,0.00005367056,0.0005244645,0.0004298943,0.0002243238,0.000376349],"domain_scores_gemma":[0.9993354,0.0001227673,0.00006165362,0.0003101935,0.00006710336,0.0001028876],"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":[0.00002991884,0.00001223293,0.00579044,0.00004393459,0.0008570146,0.000007350824,0.0002740499,0.9471394,0.0185924,0.001668226,0.001410294,0.02417474],"study_design_scores_gemma":[0.0007435443,0.00003078191,0.03747201,0.0001272704,0.0004589357,0.000001920205,0.0002995917,0.9110568,0.04612031,0.002345841,0.0008198462,0.0005232146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5970688,0.002777315,0.3879428,0.0003427397,0.0027186,0.0003902131,0.0001253453,0.0003046105,0.008329553],"genre_scores_gemma":[0.9740081,0.0002138626,0.02369149,0.0002149426,0.0002747785,0.000003571671,0.0001027081,0.00002764423,0.00146284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3769393,"threshold_uncertainty_score":0.999885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373443810836211,"score_gpt":0.2269337719618079,"score_spread":0.2131993338534457,"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."}}