{"id":"W4247643452","doi":"10.1007/978-1-4939-7131-2_100643","title":"Maximum Entropy Random Networks","year":2018,"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; Mathematics; Computer science; 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":[0.0007019158,0.0008484971,0.000869114,0.0008574197,0.000352295,0.001332788,0.0007858307,0.001099097,0.01876035],"category_scores_gemma":[0.002854924,0.0004240502,0.0003716628,0.001024478,0.001056085,0.002340308,0.001076953,0.002021846,0.007169934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007048908,"about_ca_system_score_gemma":0.0003915762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002913595,"about_ca_topic_score_gemma":0.0004997308,"domain_scores_codex":[0.9996181,0.0001031484,0.00001527165,0.00007979155,0.0001619624,0.0000217839],"domain_scores_gemma":[0.9993179,0.0004305821,0.00004152429,0.0001098708,0.00007696718,0.00002319068],"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":[0.0000303344,0.00002408039,0.00009701549,0.0003446974,0.0000406184,0.00004343396,0.00003985922,0.03675988,0.001367742,0.6923395,0.05206657,0.2168464],"study_design_scores_gemma":[0.000008037449,0.00001622633,0.0001946581,0.0001427702,0.00001665825,0.00009823325,0.00001052899,0.06301053,0.001430292,0.8338014,0.1012475,0.00002316167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005057145,0.03332766,0.5989409,0.00427452,0.002048169,0.00006139482,0.0006461076,0.001086562,0.3545575],"genre_scores_gemma":[0.2444952,0.04675108,0.2093635,0.002229579,0.00531422,0.0003696927,0.001827656,0.001661259,0.4879878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01876035,"threshold_uncertainty_score":0.06275964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420261988949971,"score_gpt":0.2190027799875106,"score_spread":0.2048001600980109,"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."}}