{"id":"W4396243126","doi":"10.5802/alco.344","title":"Bivariate <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mi>P</mml:mi> </mml:math> -polynomial association schemes","year":2024,"lang":"en","type":"article","venue":"Algebraic Combinatorics","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; American Heart Association","keywords":"Association scheme; Bivariate analysis; Generalization; Mathematics; Polynomial; Intersection (aeronautics); Association (psychology); Discrete mathematics; Combinatorics; Statistics; Mathematical analysis; Cartography; Psychology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001118675,0.0002641956,0.0001735456,0.000206299,0.0004570188,0.0008175983,0.0009926832,0.0003696396,0.0000366187],"category_scores_gemma":[0.0003098023,0.0003270594,0.0003823901,0.001091884,0.00009127714,0.0007018477,0.0006690692,0.0005225892,0.0009129826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005112876,"about_ca_system_score_gemma":0.0002868325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004787235,"about_ca_topic_score_gemma":0.000008078431,"domain_scores_codex":[0.9975867,0.0001160423,0.0004159763,0.0006209937,0.0006857307,0.0005746001],"domain_scores_gemma":[0.9980697,0.0006615449,0.0002599909,0.0007662131,0.00007101813,0.0001715493],"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":[0.00001843241,0.00009889314,0.00003539286,0.00009335417,0.0001831323,0.00008088851,0.0008229435,0.00001005608,0.0002761418,0.9916641,0.003093323,0.003623349],"study_design_scores_gemma":[0.0009536061,0.0006302515,0.0002958708,0.0003230435,0.0002562832,0.0001012744,0.0001556213,0.5696452,0.01069428,0.3426067,0.07342984,0.0009080449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982823,0.000689632,0.006439337,0.0008634024,0.004522429,0.00004873798,0.00001160702,0.000612691,0.003989162],"genre_scores_gemma":[0.998004,0.0001069628,0.0007843835,0.0003953558,0.0003390202,0.00007021384,0.00002310746,0.00005589913,0.0002210617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6490574,"threshold_uncertainty_score":0.9999182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233381513869516,"score_gpt":0.2275865630329706,"score_spread":0.2152527478942754,"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."}}