{"id":"W4253749315","doi":"10.1007/978-1-4614-6170-8_100536","title":"Maximum Entropy Random Networks","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Statistical physics; Principle of maximum entropy; Computer science; Mathematics; Statistics; Physics","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":[0.0006465935,0.0008036221,0.0008457993,0.0008555092,0.0003439114,0.001216156,0.0007418009,0.001016071,0.01767198],"category_scores_gemma":[0.002472052,0.0004243653,0.0003486746,0.001042458,0.001033228,0.002150799,0.0009974878,0.001860209,0.006149101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006823455,"about_ca_system_score_gemma":0.0003794303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003253753,"about_ca_topic_score_gemma":0.0005992519,"domain_scores_codex":[0.9996477,0.00009554299,0.00001415832,0.00007072707,0.0001519094,0.00001988464],"domain_scores_gemma":[0.999403,0.0003761419,0.00003741254,0.00009494062,0.00006905227,0.0000194237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002770437,0.0000231881,0.0000992565,0.0003226258,0.00003918562,0.00004465537,0.00004171789,0.03958815,0.001409964,0.6633143,0.05238123,0.242708],"study_design_scores_gemma":[0.00000790674,0.00001628369,0.0002123458,0.0001436871,0.00001653463,0.0001072125,0.00001156285,0.06877597,0.001565701,0.8240869,0.1050312,0.00002476343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004937019,0.03365393,0.606983,0.003790145,0.001695574,0.00005724906,0.0005631162,0.0009847848,0.3473353],"genre_scores_gemma":[0.2383953,0.04697489,0.2143386,0.001974342,0.004569455,0.0003499711,0.001563632,0.001473584,0.4903601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01767198,"threshold_uncertainty_score":0.05911863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113507978914548,"score_gpt":0.2076317268808271,"score_spread":0.1962809289893724,"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."}}