{"id":"W154253029","doi":"","title":"On embedding partial unitals and large (k, n)-arcs","year":2002,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Embedding; Mathematics; Pure mathematics; Combinatorics; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001405026,0.0001184252,0.0001320579,0.0000553709,0.00009270429,0.00003666584,0.00008035382,0.00006701078,0.0001497719],"category_scores_gemma":[0.0000212443,0.0001201667,0.00003191043,0.0001175101,0.00001570396,0.00008685218,0.00001819889,0.0001244094,0.0001628282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001483287,"about_ca_system_score_gemma":7.931073e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001134313,"about_ca_topic_score_gemma":5.264789e-7,"domain_scores_codex":[0.9993855,0.00003788269,0.0001272054,0.0001183215,0.00009664251,0.0002344522],"domain_scores_gemma":[0.9996484,0.00007022573,0.00001520695,0.0001750355,0.0000104139,0.00008072089],"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":[0.000003827153,0.00004296988,0.0003155672,0.00003306872,0.00003113608,0.00001566982,0.0005954056,0.0002089866,0.0004168449,0.9936692,0.003851637,0.0008157266],"study_design_scores_gemma":[0.00389356,0.0003855465,0.0009439791,0.0002406602,0.00005647188,0.0000536768,0.0006347469,0.1344321,0.007835817,0.7748066,0.07557103,0.001145795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848844,0.0004345882,0.0000403086,0.0000178827,0.001507889,0.00008134539,0.000005888623,0.0002379948,0.01278972],"genre_scores_gemma":[0.9997607,0.0000263377,0.000008210996,0.00002789628,0.00001154075,0.000008765629,0.0000021096,0.00002514992,0.0001293151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2188625,"threshold_uncertainty_score":0.4900255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009529900423714164,"score_gpt":0.2078367881897664,"score_spread":0.1983068877660522,"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."}}