{"id":"W2822741556","doi":"10.1007/978-3-032-18842-7_3","title":"Position Weight Matrix and Perceptron","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Randomness; Artificial intelligence; Pattern recognition (psychology); Algorithm; Perceptron; Computer science; Linear discriminant analysis; Multivariate statistics; Mathematics; Artificial neural network; Machine learning; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004327348,0.001055397,0.0006951035,0.000741584,0.0003538639,0.001477312,0.001227275,0.0009885456,0.02948947],"category_scores_gemma":[0.001574746,0.0004744801,0.0004002751,0.001903155,0.0006509881,0.002634577,0.0008304778,0.002023715,0.02228163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005563126,"about_ca_system_score_gemma":0.0005879712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007998949,"about_ca_topic_score_gemma":0.001264486,"domain_scores_codex":[0.9996585,0.00004009846,0.00001706024,0.00008432172,0.0001774391,0.00002263348],"domain_scores_gemma":[0.9997482,0.0001036324,0.00001346983,0.00004679571,0.00007251366,0.00001546901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003794812,0.00004628902,0.00008021308,0.0002248909,0.00002046797,0.00006044497,0.00003096846,0.021352,0.002510539,0.1739525,0.09337217,0.7083117],"study_design_scores_gemma":[0.00001291074,0.00003661667,0.0002587739,0.0001612629,0.00001989732,0.0002335494,0.0000206629,0.1156857,0.005118249,0.5167041,0.3616981,0.00005017288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002127635,0.01274665,0.8604606,0.001820013,0.003733656,0.00003787396,0.0005576998,0.00286782,0.1156479],"genre_scores_gemma":[0.04310545,0.01474423,0.4794991,0.001162227,0.001943599,0.0001524628,0.001806302,0.001793752,0.4557929],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02948947,"threshold_uncertainty_score":0.09865206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004247178680551559,"score_gpt":0.2378495638501203,"score_spread":0.2336023851695688,"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."}}