{"id":"W3028993401","doi":"10.1002/jcd.21762","title":"The localization number of designs","year":2020,"lang":"en","type":"preprint","venue":"Journal of Combinatorial Designs","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Affine transformation; Combinatorics; Mathematics; Graph; Block design; Discrete mathematics; Projective plane; Incidence (geometry); Computer science; Pure mathematics; Geometry; Correlation","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":[],"consensus_categories":[],"category_scores_codex":[0.001087348,0.0002504177,0.0005999783,0.00007640994,0.00008745133,0.00009183282,0.0006459299,0.0003069409,0.00002586983],"category_scores_gemma":[0.0001953662,0.0001885589,0.0003675219,0.0002115111,0.0000752226,0.00009116622,0.00008117234,0.0007872986,0.00001302914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008457035,"about_ca_system_score_gemma":0.0001600394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003648172,"about_ca_topic_score_gemma":3.978036e-7,"domain_scores_codex":[0.9977805,0.0003650009,0.001048087,0.0001102806,0.0005015874,0.0001945586],"domain_scores_gemma":[0.9981508,0.0003530626,0.0006995458,0.0002910987,0.0003737767,0.0001317055],"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":[0.001103413,0.0002921796,0.001208176,0.002208774,0.002915011,0.0002132129,0.004074576,0.1655375,0.01319189,0.7481642,0.05855476,0.002536278],"study_design_scores_gemma":[0.001643658,0.0003333534,0.0001474031,0.0008747554,0.0003970024,0.0001341088,0.0003067712,0.00951144,0.02054119,0.9504846,0.01508434,0.000541329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09658504,0.005040426,0.7775776,0.0003561199,0.1077973,0.00135218,0.00004248834,0.0002741728,0.01097464],"genre_scores_gemma":[0.9983604,0.0002659028,0.0001976661,0.000009466328,0.001089483,0.000004326929,0.000002700644,0.00005143724,0.00001864647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9017753,"threshold_uncertainty_score":0.7689211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053540749427321,"score_gpt":0.2584612004419536,"score_spread":0.2279257929476804,"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."}}