{"id":"W4391971355","doi":"10.1088/1742-5468/ad0a8c","title":"A simple probabilistic neural network for machine understanding","year":2024,"lang":"en","type":"article","venue":"Journal of Statistical Mechanics Theory and Experiment","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Simple (philosophy); Probabilistic logic; Artificial neural network; Computer science; Probabilistic neural network; Artificial intelligence; Machine learning; Time delay neural network","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":[0.001038605,0.0002872246,0.0006005857,0.0003549118,0.0003614763,0.001072871,0.001297588,0.001419514,0.00596134],"category_scores_gemma":[0.005341011,0.0003397765,0.0006235636,0.0004994172,0.00123651,0.002978058,0.0009620709,0.001463197,0.0005321312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007979757,"about_ca_system_score_gemma":0.0005203359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001682631,"about_ca_topic_score_gemma":0.001153806,"domain_scores_codex":[0.9996463,0.0001451255,0.00001143159,0.00006753064,0.00009958818,0.00003001061],"domain_scores_gemma":[0.9990336,0.0006850219,0.00007046058,0.00009929146,0.00007725167,0.0000342867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007610677,0.00003427118,0.000375613,0.0001090767,0.0000414906,0.00009392224,0.00008892744,0.6554055,0.004050221,0.3183531,0.001345146,0.02002661],"study_design_scores_gemma":[0.000006247862,0.000008321585,0.00009727383,0.000005202332,0.000003289046,0.00001832794,0.000003706264,0.8785849,0.0001883486,0.1207036,0.000375516,0.000005256693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09292365,0.0005783219,0.8850562,0.002748804,0.0001107476,0.00005610574,0.0002861891,0.0005284472,0.01771144],"genre_scores_gemma":[0.9074171,0.0002455808,0.08690342,0.0002328947,0.00005185129,0.00009201143,0.0001316342,0.00006332048,0.004862209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00596134,"threshold_uncertainty_score":0.01994264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366818495435355,"score_gpt":0.3100963615772229,"score_spread":0.2764281766228694,"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."}}