{"id":"W4412420071","doi":"10.1016/j.indag.2025.05.011","title":"A tale of two <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" id=\"d1e396\" altimg=\"si279.svg\"> <mml:mi>q</mml:mi> </mml:math> -deformations: Connecting dual polar graphs and weighted hypercubes","year":2025,"lang":"en","type":"article","venue":"Indagationes Mathematicae","topic":"Finite Group Theory Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Scalable Vector Graphics; Mathematics; Dual (grammatical number); Combinatorics; Computer science; World Wide Web; Art; Literature","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":[0.001741706,0.0003920722,0.0004557536,0.0004383751,0.0007702394,0.0003424121,0.0004963728,0.0003738361,0.00009016902],"category_scores_gemma":[0.002406687,0.0004119931,0.0002856426,0.0007449312,0.0005758053,0.0006947138,0.0004958372,0.0005226171,0.0003266793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002885915,"about_ca_system_score_gemma":0.0002546102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000814449,"about_ca_topic_score_gemma":0.0000793615,"domain_scores_codex":[0.9965915,0.0001936535,0.00127252,0.0004876562,0.000855485,0.0005992003],"domain_scores_gemma":[0.9950982,0.002877421,0.000692508,0.0009229374,0.000240761,0.0001681971],"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":[0.00008398329,0.0003211473,0.00003891969,0.002027847,0.0003374548,0.00002808453,0.004939479,0.00002609387,0.002521341,0.9888296,0.0001778929,0.0006682038],"study_design_scores_gemma":[0.001122328,0.0002314005,0.00005725822,0.001306592,0.0003589595,0.0003177422,0.004727972,0.5680218,0.01184958,0.411274,0.0002936222,0.0004387148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911827,0.0002137816,0.004341968,0.0004256425,0.0002029881,0.0002647585,0.0001613394,0.0002383189,0.002968507],"genre_scores_gemma":[0.9800534,0.00005070221,0.01902474,0.0001320408,0.0001014798,0.0002426753,0.0001596879,0.0001150787,0.0001201633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5775556,"threshold_uncertainty_score":0.9998332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773657259677781,"score_gpt":0.2943279299322573,"score_spread":0.2665913573354795,"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."}}