{"id":"W1565202964","doi":"10.1002/jcd.21393","title":"A Three‐Factor Product Construction for Mutually Orthogonal Latin Squares","year":2014,"lang":"en","type":"article","venue":"Journal of Combinatorial Designs","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kronecker product; Mathematics; Transversal (combinatorics); Product (mathematics); Latin square; Orthogonal array; Combinatorics; Table (database); Resolution (logic); Square (algebra); Kronecker delta; Algebra over a field; Pure mathematics; Statistics; Computer science; Geometry; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005755257,0.0003677769,0.0003756797,0.0006775306,0.00066479,0.001081403,0.0004635798,0.0004560178,0.008857756],"category_scores_gemma":[0.001127776,0.0003883644,0.0005577512,0.0005484954,0.001138852,0.001169197,0.001808937,0.001053482,0.001735409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003038224,"about_ca_system_score_gemma":0.0002716377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002594453,"about_ca_topic_score_gemma":0.0002924516,"domain_scores_codex":[0.9992653,0.0002037447,0.00004582191,0.0001533529,0.0001910155,0.000140708],"domain_scores_gemma":[0.9992214,0.0001972544,0.00008308631,0.0002560928,0.0001534632,0.00008863744],"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":[0.0001567844,0.00005101727,0.0006242441,0.00009915388,0.00001762901,0.0002937785,0.0003706237,0.003312,0.03200968,0.8802932,0.003141971,0.07962991],"study_design_scores_gemma":[0.0001067797,0.0006449162,0.0009313454,0.0001155346,0.00006740746,0.001804092,0.0004585482,0.04598907,0.1144885,0.7305675,0.1047016,0.000124732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1840435,0.0004210291,0.7459676,0.0003409669,0.0003135015,0.0001092534,0.0001862644,0.0009573498,0.06766054],"genre_scores_gemma":[0.7584156,0.0003087663,0.2233091,0.0002661449,0.0001068003,0.0001237073,0.000217092,0.0003377604,0.01691497],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008857756,"threshold_uncertainty_score":0.02963215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966379415629001,"score_gpt":0.2217789174820978,"score_spread":0.2021151233258078,"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."}}