{"id":"W1566077545","doi":"10.1002/9780470932025.ch15","title":"Case Study: Pattern Matching","year":2011,"lang":"en","type":"other","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","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":[0.001548871,0.0004794249,0.0004468667,0.001073727,0.001404189,0.001495153,0.001761587,0.002734301,0.01774773],"category_scores_gemma":[0.009772403,0.0002707638,0.0006158782,0.002999258,0.0008835867,0.00261167,0.00118428,0.0009974018,0.002848918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008827762,"about_ca_system_score_gemma":0.001499173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004661017,"about_ca_topic_score_gemma":0.006456616,"domain_scores_codex":[0.9976248,0.0006593312,0.0001763094,0.0003430529,0.0008659727,0.0003304188],"domain_scores_gemma":[0.996549,0.001966943,0.000154093,0.0006133295,0.0005417255,0.0001749301],"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":[0.001467693,0.002286711,0.02511394,0.001964008,0.0002192971,0.02596034,0.002576264,0.0800328,0.01908587,0.1806269,0.0783232,0.5823429],"study_design_scores_gemma":[0.0005383293,0.001033766,0.0106633,0.0003508174,0.0002342381,0.02798188,0.005468545,0.3049903,0.08749732,0.1494296,0.4116847,0.000127227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3893798,0.001080479,0.4466498,0.005272403,0.0004328089,0.001670212,0.004729345,0.004268026,0.146517],"genre_scores_gemma":[0.6546813,0.000489154,0.2878475,0.0006932669,0.00006131374,0.0004790465,0.002526617,0.0005761181,0.05264559],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01774773,"threshold_uncertainty_score":0.05937207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423518785129278,"score_gpt":0.2667768436085806,"score_spread":0.2325416557572878,"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."}}