{"id":"W4255618714","doi":"10.32920/14638791","title":"Efficient computation of spaced seeds","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"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; Programming language; Engineering","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":[0.001404346,0.00110954,0.001520511,0.002009352,0.001089275,0.001805203,0.002021576,0.001511856,0.009273488],"category_scores_gemma":[0.01286526,0.0008143476,0.0009471144,0.001991978,0.001107995,0.002595698,0.00179507,0.001219819,0.002817335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199263,"about_ca_system_score_gemma":0.001475939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524194,"about_ca_topic_score_gemma":0.001720129,"domain_scores_codex":[0.9986143,0.000272776,0.00009341812,0.0002928148,0.0005977553,0.0001289241],"domain_scores_gemma":[0.9948655,0.002533531,0.0004433989,0.0007961287,0.001031317,0.0003301786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000819213,0.0002393996,0.007532337,0.0007970119,0.0001559118,0.0009736275,0.0006083336,0.4900381,0.0440819,0.1370928,0.0171141,0.3005474],"study_design_scores_gemma":[0.00006649694,0.00009546783,0.0005626181,0.00003534244,0.00002305581,0.0002363956,0.00005444575,0.8969589,0.01326197,0.08323879,0.005434066,0.00003243966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05734567,0.0003144365,0.9321666,0.0001840692,0.0001188463,0.00008651728,0.0002717527,0.004590111,0.004921993],"genre_scores_gemma":[0.2841866,0.0001594165,0.7110013,0.00008940459,0.00004536092,0.0001322517,0.0007116419,0.00142229,0.002251653],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009273488,"threshold_uncertainty_score":0.03102297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271561483039763,"score_gpt":0.2505727454339817,"score_spread":0.237857130603584,"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."}}