{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007165755,0.0002076454,0.0001353554,0.00004188782,0.00005515213,0.00002760493,0.00009696269,0.0004170044,0.001943984],"category_scores_gemma":[0.000009438498,0.0001823012,0.00006349984,0.000004262026,0.00009944768,0.000001715575,0.0001421336,0.0001416653,0.0002846509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001063612,"about_ca_system_score_gemma":0.00002287252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002674468,"about_ca_topic_score_gemma":0.000007583874,"domain_scores_codex":[0.9993782,0.000007071708,0.0001759824,0.0002150878,0.0001022086,0.0001214258],"domain_scores_gemma":[0.9995071,0.000003805029,0.00009868998,0.0002783599,0.00005486109,0.00005719673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003516501,0.00005310958,0.0005920854,0.0008134177,0.000773108,0.00001718298,0.0005701972,0.00001075447,0.06204436,0.1820569,0.7305104,0.02220684],"study_design_scores_gemma":[0.0001904999,0.0003696897,0.00007948349,0.00003574247,0.00004560058,0.00007748968,0.000006980211,0.0001457924,0.000787796,0.00106509,0.9968736,0.0003222354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003001276,0.0006508069,0.001344386,0.0001404375,0.0001372868,0.0001569785,0.00002537239,0.00002855645,0.9945149],"genre_scores_gemma":[0.003328226,0.0005374024,0.005967831,0.0002794757,0.0006599156,0.000002170987,0.0006608255,0.00004545858,0.9885187],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2663632,"threshold_uncertainty_score":0.9989684,"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."}}