{"id":"W2391234856","doi":"","title":"Application of Logic Function Based on Perceptron Model","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Function (biology); Artificial intelligence; Machine learning; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008029903,0.0001853507,0.0001784297,0.0001946719,0.0002960167,0.00002052195,0.0008117022,0.00008015599,0.000003767078],"category_scores_gemma":[5.406666e-7,0.0001893356,0.000114629,0.0006569528,0.00008893957,0.0001850047,0.0001162113,0.0001402258,0.00007900238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006767991,"about_ca_system_score_gemma":0.00008344361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003586371,"about_ca_topic_score_gemma":4.188596e-7,"domain_scores_codex":[0.998596,0.00002185752,0.0003634266,0.0005650011,0.0002526917,0.0002009874],"domain_scores_gemma":[0.998632,0.00008128758,0.0001957145,0.0007909297,0.0002203362,0.00007975843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008298738,0.0004547662,0.00009391503,0.00001946476,0.000008001258,3.003254e-7,0.00006968504,0.3755915,0.01183958,0.5115101,0.000934477,0.09946994],"study_design_scores_gemma":[0.0002083905,0.00007705413,0.001145915,0.000006744152,0.000005857424,0.000009036894,0.000001525601,0.9139945,0.002324233,0.05132592,0.03071086,0.000189944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000353348,0.00002341866,0.9960023,0.0008430924,0.000007066709,0.0008549118,0.00001207151,0.0004529583,0.001450836],"genre_scores_gemma":[0.3656695,0.000008042392,0.6322035,0.001039192,0.00004265279,0.0009304218,0.00004189933,0.00001218146,0.0000526119],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.538403,"threshold_uncertainty_score":0.7720881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856600778117314,"score_gpt":0.2628986664198214,"score_spread":0.2443326586386483,"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."}}