{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001869086,0.0009308685,0.002197508,0.001941848,0.001095876,0.004614487,0.001792069,0.001023668,0.04445799],"category_scores_gemma":[0.005721625,0.0004800464,0.00121438,0.002669614,0.0009652776,0.003022476,0.001728172,0.002467171,0.01348168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016172,"about_ca_system_score_gemma":0.001670657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382359,"about_ca_topic_score_gemma":0.002800849,"domain_scores_codex":[0.9985945,0.000372001,0.0001280055,0.0002668742,0.000493139,0.0001455318],"domain_scores_gemma":[0.9970796,0.0008711772,0.0001106427,0.00097587,0.0006794995,0.0002831474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007387829,0.0005130951,0.001567513,0.0004524567,0.0002907698,0.0001828172,0.000124394,0.007390335,0.005764924,0.06748626,0.272051,0.6434376],"study_design_scores_gemma":[0.0001692067,0.0002970912,0.002308054,0.0003077362,0.0002845612,0.001139612,0.0002082068,0.1284104,0.01313648,0.2247151,0.6289489,0.0000746987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03078668,0.02308416,0.7311737,0.01201706,0.033919,0.0004321783,0.002653178,0.003371855,0.1625623],"genre_scores_gemma":[0.1953743,0.0244649,0.5075075,0.003080087,0.009850491,0.0005332566,0.01326699,0.002190012,0.2437325],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04445799,"threshold_uncertainty_score":0.1487268,"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."}}