{"id":"W2133903964","doi":"10.1142/s0219720004000326","title":"OPTIMAL SPACED SEEDS FOR HOMOLOGOUS CODING REGIONS","year":2004,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genome; Coding (social sciences); Coding region; Homology (biology); Computational biology; Homologous chromosome; Computer science; Homologous recombination; Smith–Waterman algorithm; Gene; Biology; Genetics; Algorithm; Mathematics; Sequence alignment; Statistics","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":[0.001263265,0.0005552517,0.0008563069,0.001443376,0.0007219146,0.0008420945,0.0008710564,0.001067784,0.00211273],"category_scores_gemma":[0.009675721,0.0006581612,0.0006713661,0.001296993,0.0008749198,0.001386776,0.0008702588,0.0007846734,0.00103112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007624261,"about_ca_system_score_gemma":0.001139249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007512119,"about_ca_topic_score_gemma":0.001454106,"domain_scores_codex":[0.9991711,0.000212308,0.00006618707,0.0002558992,0.0002232378,0.00007122626],"domain_scores_gemma":[0.996618,0.00179083,0.0004560767,0.000500432,0.0004877512,0.0001469416],"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":[0.001722834,0.000313142,0.01454737,0.0006951745,0.0001025409,0.001537605,0.0008296217,0.3232272,0.2657227,0.08056787,0.006760271,0.3039736],"study_design_scores_gemma":[0.0001076768,0.0002073661,0.002154425,0.00004811069,0.0000429016,0.0006208415,0.0001472219,0.8043759,0.09976302,0.08753801,0.004937727,0.00005683635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1227999,0.0002391999,0.8733453,0.0001020575,0.00003631919,0.0000773085,0.0002261518,0.002284188,0.0008896658],"genre_scores_gemma":[0.2810895,0.00007476989,0.7170447,0.00004798856,0.00001471304,0.0000950573,0.0005992763,0.0004430559,0.0005909331],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00211273,"threshold_uncertainty_score":0.00706774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300303195621904,"score_gpt":0.2543864281263891,"score_spread":0.24138339617017,"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."}}