{"id":"W1988729528","doi":"10.2202/1544-6115.1231","title":"Examining Protein Structure and Similarities by Spectral Analysis Technique","year":2006,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Envelope (radar); Phylogenetic tree; Similarity (geometry); Categorical variable; Pattern recognition (psychology); Covariance; Spectral envelope; Tree (set theory); Spectral analysis; Mathematics; Computer science; Artificial intelligence; Biological system; Algorithm; Computational biology; Biology; Physics; Statistics; Speech recognition; Genetics; Combinatorics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.00007104426,0.0001527603,0.0001958592,0.0001026848,0.00006452771,0.0000253397,0.00009151905,0.0001792156,0.00001234856],"category_scores_gemma":[0.00001841788,0.0001429077,0.00002917309,0.0002372536,0.0003152862,0.000001717536,0.00008287654,0.00009309875,2.621311e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007554758,"about_ca_system_score_gemma":0.00001799238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001614314,"about_ca_topic_score_gemma":0.0001660012,"domain_scores_codex":[0.9990056,0.00005477383,0.0002210293,0.0004520988,0.00005284714,0.0002136106],"domain_scores_gemma":[0.9996327,0.00001824876,0.00004890474,0.0002076055,0.00003412925,0.00005846121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006455861,0.00002967656,0.01914538,0.000009960921,0.00006348662,0.000001955247,0.000003590946,0.00003681271,0.96114,0.01827691,0.00004663172,0.001239069],"study_design_scores_gemma":[0.0004715659,0.0004747877,0.02680785,0.000007035683,0.0003777119,0.00001604876,0.00009103474,0.0008446801,0.8296444,0.1291459,0.01141541,0.0007035176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5646086,0.001380382,0.4332054,0.00005415033,0.000002729949,0.0002478877,0.0003191828,0.000005468687,0.0001762477],"genre_scores_gemma":[0.963432,0.000132199,0.0346837,0.00008398385,0.00002442609,0.000163449,0.001422118,0.0000109187,0.00004726721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3988234,"threshold_uncertainty_score":0.5827605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004220009621446441,"score_gpt":0.2528951948541253,"score_spread":0.2486751852326788,"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."}}