{"id":"W2913027376","doi":"","title":"Proceedings of the 18th annual conference on Combinatorial Pattern Matching","year":2007,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Matching (statistics); Computer science; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002924822,0.0000765767,0.00008570834,0.00003022718,0.000087652,0.00007465905,0.0008213854,0.00003675514,0.00001266639],"category_scores_gemma":[0.00001089815,0.00004463923,0.00003047393,0.0001432818,0.00002939407,0.0003561694,0.0004730652,0.0001173657,0.000008817774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001191451,"about_ca_system_score_gemma":0.00002141056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008764603,"about_ca_topic_score_gemma":0.000002894031,"domain_scores_codex":[0.9991691,0.000005393316,0.0001532296,0.0001884561,0.0003249555,0.0001589047],"domain_scores_gemma":[0.999496,0.00003801093,0.00008771853,0.0002016107,0.0001330617,0.00004355915],"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":[0.000014434,0.0001518102,0.002135492,0.00001661379,0.000006829753,0.000002358504,0.002562005,0.000002992526,0.002782862,0.9129296,0.004649863,0.07474516],"study_design_scores_gemma":[0.005104817,0.001531727,0.2731751,0.0009599487,0.00002391793,0.00007164988,0.004165331,0.06123907,0.2765211,0.3558436,0.01971614,0.001647586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4868369,0.000004851484,0.4858025,0.000588137,0.001703959,0.0001844756,0.000007954169,0.0001083353,0.02476287],"genre_scores_gemma":[0.9961905,8.022008e-7,0.00337535,0.0002083832,0.00008201217,9.238773e-7,4.106343e-7,0.000003107449,0.0001385458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.557086,"threshold_uncertainty_score":0.1820335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332653666695761,"score_gpt":0.2450829346242277,"score_spread":0.2317563979572701,"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."}}