{"id":"W4254694878","doi":"10.32920/14638791.v1","title":"Efficient computation of spaced seeds","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heuristics; Heuristic; Computer science; Software; Computation; Quadratic equation; Algorithm; Speedup; Range (aeronautics); Artificial intelligence; Mathematics; Parallel computing; Engineering; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001263452,0.001038845,0.001392823,0.002058209,0.0009863249,0.0016883,0.001867549,0.00142953,0.007581951],"category_scores_gemma":[0.01283652,0.0006984417,0.0007999258,0.002147487,0.001101855,0.00256929,0.001811078,0.001150658,0.002274722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108673,"about_ca_system_score_gemma":0.001401039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368528,"about_ca_topic_score_gemma":0.001550136,"domain_scores_codex":[0.998626,0.0002484298,0.00009302395,0.0002662296,0.000647353,0.0001190621],"domain_scores_gemma":[0.9950221,0.002577036,0.0004013695,0.0007720356,0.0009547042,0.000272802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007475999,0.0002190242,0.006264559,0.0006440469,0.0001236921,0.0008591272,0.0005758323,0.4887342,0.04242655,0.129182,0.01464754,0.3155757],"study_design_scores_gemma":[0.00005532142,0.00009237958,0.0004530931,0.00002971366,0.00001827321,0.0002204471,0.00005074477,0.9053918,0.01379615,0.07524273,0.004622375,0.00002692466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06541418,0.0003593238,0.9249541,0.0001997592,0.000114943,0.00008800504,0.000240143,0.003871111,0.004758393],"genre_scores_gemma":[0.2894131,0.0001770608,0.7062324,0.00009825562,0.00004674164,0.0001353007,0.0006677497,0.001013513,0.002215879],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007581951,"threshold_uncertainty_score":0.02536416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908596142322564,"score_gpt":0.2688779504802859,"score_spread":0.2497919890570603,"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."}}