{"id":"W3095372394","doi":"10.1093/bioinformatics/btaa945","title":"ALeS: adaptive-length spaced-seed design","year":2020,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Computer science; Heuristic; Software; Source code; Computation; Similarity (geometry); Algorithm; Code (set theory); Sensitivity (control systems); Sequence (biology); Data mining; Theoretical computer science; Programming language; Artificial intelligence; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003999116,0.0001553824,0.000193901,0.0001026266,0.0001117392,0.0002633304,0.001080824,0.0000639507,0.00006819305],"category_scores_gemma":[0.0005036046,0.0001368891,0.00005344026,0.0007205994,0.00005791348,0.0007527815,0.0003648954,0.000174055,0.001282635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003627089,"about_ca_system_score_gemma":0.0002006824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002560119,"about_ca_topic_score_gemma":1.985484e-7,"domain_scores_codex":[0.9983788,0.0000887713,0.0003925551,0.0001841656,0.0006174251,0.000338325],"domain_scores_gemma":[0.9987012,0.0001933434,0.0001341628,0.0004508756,0.0001812913,0.0003391434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002023838,0.0004688379,0.0004014332,0.0008266422,0.0004858807,0.000194352,0.05650273,0.1635991,0.0006496845,0.2537267,0.197452,0.3254903],"study_design_scores_gemma":[0.0003276038,0.0001615851,0.00008390615,0.000008147,0.000003967564,0.000006255813,0.0002271737,0.9943033,0.0005116031,0.0001440063,0.004053848,0.0001686035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001204126,0.00003733157,0.9921705,0.002128303,0.0001232541,0.0003328638,0.000005120618,0.0002257092,0.004964945],"genre_scores_gemma":[0.005348897,0.00004684064,0.993045,0.001274801,0.00006465014,0.0000103863,0.000004088028,0.00001118915,0.0001941811],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8307042,"threshold_uncertainty_score":0.999495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08403751598559044,"score_gpt":0.2713944349795057,"score_spread":0.1873569189939152,"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."}}