{"id":"W4247163284","doi":"10.1007/978-1-4471-7452-3_23","title":"Boltzmann Machines","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Boltzmann machine; Restricted Boltzmann machine; Boltzmann constant; Artificial intelligence; Computer science; Artificial neural network; Popularity; Boltzmann equation; Deep learning; Machine learning; Physics; Psychology; Thermodynamics","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":["insufficient_payload"],"category_scores_codex":[0.00009375242,0.0002807764,0.0003049561,0.00008492373,0.00006038817,0.0001613063,0.0008336861,0.0001704086,0.001164912],"category_scores_gemma":[0.000006607391,0.0002200543,0.0001768977,0.00002101941,0.0000298363,0.0002360936,0.0003750978,0.0001846445,0.002765381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000216325,"about_ca_system_score_gemma":0.00007412824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001351624,"about_ca_topic_score_gemma":0.00001429278,"domain_scores_codex":[0.9988918,0.00001213824,0.0001921635,0.000491725,0.0002226085,0.0001895178],"domain_scores_gemma":[0.9989038,0.00006166368,0.0001045525,0.0007893606,0.00007614976,0.00006451696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001023537,0.000003642735,0.000001534099,0.000006779631,0.0000430097,0.000009185419,0.00001514317,0.0001466261,0.00001997022,0.881619,0.05863088,0.05950319],"study_design_scores_gemma":[0.00008866176,0.00004037164,0.00001183413,0.0000337491,0.00001386647,0.000005884737,3.772876e-7,0.0381298,0.00007758643,0.03481087,0.9263946,0.0003923847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[7.03059e-8,0.0002821792,0.3679024,0.0003917618,0.0006866659,0.00009519984,0.00000279301,0.00008376822,0.6305552],"genre_scores_gemma":[0.0004447174,0.0000927603,0.02849809,0.000780482,0.0004181838,0.000001398163,0.000007058652,0.00002589315,0.9697314],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8677638,"threshold_uncertainty_score":0.9997482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424524913395896,"score_gpt":0.210511120942791,"score_spread":0.196265871808832,"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."}}