{"id":"W79879488","doi":"","title":"McLeish's construction for Latin squares without intercalates.","year":2001,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Latin square; Intercalation (chemistry); Chemistry; Food science; Inorganic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005401403,0.0004973242,0.0004687785,0.001014054,0.001978617,0.001508778,0.001259797,0.001093233,0.01867652],"category_scores_gemma":[0.00249179,0.0003945356,0.0005837153,0.001321519,0.001902155,0.003043863,0.003740415,0.00201257,0.00534408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008212888,"about_ca_system_score_gemma":0.0007338176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204512,"about_ca_topic_score_gemma":0.002575334,"domain_scores_codex":[0.9991836,0.000240914,0.00003051432,0.0001694353,0.0002343496,0.000141288],"domain_scores_gemma":[0.9993668,0.0001911652,0.00003002618,0.0002355675,0.0001123986,0.00006407613],"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":[0.00008440406,0.00003197961,0.0001810121,0.0001341619,0.00001683461,0.0001242746,0.0003847833,0.00114969,0.004519722,0.9225851,0.01935775,0.05143025],"study_design_scores_gemma":[0.00003516229,0.00005247587,0.0002654299,0.00005895904,0.00003373453,0.0003829554,0.0001921041,0.005593843,0.01090386,0.8457052,0.1367275,0.00004878027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02339762,0.001389576,0.725199,0.002488178,0.001226514,0.0001415101,0.0004625605,0.0026357,0.2430593],"genre_scores_gemma":[0.4511778,0.001330327,0.3714601,0.002981749,0.0003577314,0.0003141989,0.0004970921,0.001113334,0.1707677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01867652,"threshold_uncertainty_score":0.0624792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009266359935564312,"score_gpt":0.2114124930303725,"score_spread":0.2021461330948082,"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."}}