{"id":"W2404127378","doi":"","title":"Radio Number for Square Paths.","year":2009,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Square (algebra); Statistics; Geometry","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":[0.0005104418,0.0005172806,0.0004449834,0.001693935,0.0009730235,0.002252741,0.0006698728,0.0007368873,0.03581395],"category_scores_gemma":[0.003995324,0.0001897288,0.0003021542,0.0009506675,0.001261948,0.002759519,0.001516633,0.00129343,0.008629655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008328485,"about_ca_system_score_gemma":0.0006332156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006154297,"about_ca_topic_score_gemma":0.0009338608,"domain_scores_codex":[0.9995753,0.00008211091,0.00002059988,0.0000945565,0.0001189829,0.0001084041],"domain_scores_gemma":[0.9986424,0.000638879,0.0001687305,0.0001625997,0.0001924955,0.000194985],"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":[0.00006618157,0.00001242327,0.0001468133,0.00006797294,0.000006481538,0.000051648,0.00007245169,0.0009963519,0.0008637407,0.966108,0.01275802,0.01884993],"study_design_scores_gemma":[0.00003279456,0.00005263224,0.0004319453,0.00004883477,0.00001252737,0.0002754462,0.00008687559,0.008242853,0.001332426,0.9284764,0.06098206,0.00002504395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1371548,0.003328894,0.2484055,0.006194497,0.002709952,0.0001280995,0.002102188,0.00134512,0.598631],"genre_scores_gemma":[0.7799116,0.001987436,0.05795636,0.001858319,0.001162917,0.0003117258,0.001072022,0.0004242467,0.1553153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03581395,"threshold_uncertainty_score":0.1198096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060503079864784,"score_gpt":0.2571862683527507,"score_spread":0.2465812375541028,"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."}}