{"id":"W4386512674","doi":"10.2139/ssrn.4564689","title":"On Suffix Tree Detection","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Suffix; Tree (set theory); Suffix tree; Computer science; Mathematics; Linguistics; Combinatorics; Philosophy","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001636179,0.0003015946,0.0002746011,0.0003413388,0.0003315956,0.0004344935,0.001949432,0.0002609576,0.000006189428],"category_scores_gemma":[0.00007312514,0.0002552423,0.0002246651,0.0002580017,0.00002107875,0.0002833738,0.001251833,0.006024468,0.0002345644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113836,"about_ca_system_score_gemma":0.001981671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001234807,"about_ca_topic_score_gemma":0.0006685618,"domain_scores_codex":[0.9962428,0.0001422607,0.0003597359,0.0006277491,0.0006030293,0.002024488],"domain_scores_gemma":[0.9984803,0.00009830724,0.0003320632,0.0008834045,0.00008549414,0.0001204798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004163377,0.0001155077,0.00001941707,0.00001787437,0.0001891965,0.00004430076,0.0001346513,0.00230978,0.000196715,0.2242572,0.001608802,0.7710649],"study_design_scores_gemma":[0.000340098,0.0004306985,0.0002764821,0.0001154888,0.0000166227,0.0002495332,0.00004549556,0.04525203,0.0002424761,0.9511837,0.001502421,0.0003449447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00692947,0.0009716572,0.9871648,0.0007505135,0.003292777,0.000151817,0.000005803543,0.0003408483,0.0003923297],"genre_scores_gemma":[0.9753953,0.01068577,0.004740476,0.0002473141,0.002470953,0.00004673281,0.00004039556,0.0001159055,0.00625713],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9824243,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701852658795877,"score_gpt":0.2568507696630004,"score_spread":0.2398322430750416,"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."}}