{"id":"W2050249319","doi":"10.3390/e3030191","title":"Maximum Entropy Fundamentals","year":2001,"lang":"en","type":"article","venue":"Entropy","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Instytut Matematyczny, Polskiej Akademii Nauk","keywords":"Principle of maximum entropy; Entropy (arrow of time); Computer science; Mathematical economics; Maximization; Entropy maximization; Mathematics; Mathematical optimization; Artificial intelligence; 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":[0.003170227,0.001375442,0.00140278,0.002819818,0.001882079,0.005000721,0.002325465,0.003607186,0.01520378],"category_scores_gemma":[0.007182817,0.0007247788,0.001668133,0.001960784,0.007308083,0.007925114,0.003341581,0.004200283,0.004568425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003051729,"about_ca_system_score_gemma":0.001653911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110582,"about_ca_topic_score_gemma":0.0006102055,"domain_scores_codex":[0.9974114,0.0007149796,0.0001665257,0.0005000748,0.0009428394,0.0002640127],"domain_scores_gemma":[0.9956465,0.002896662,0.000242916,0.0005346902,0.0005283097,0.0001508058],"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":[0.000004027036,0.000005115129,0.00004192208,0.00007253745,0.000006590777,0.00002171341,0.00004841741,0.001133837,0.0001131074,0.9917514,0.00270075,0.004100548],"study_design_scores_gemma":[0.000004140697,0.000009919893,0.00005077215,0.00005289462,0.000004884678,0.00006409363,0.0000143411,0.003827643,0.00016026,0.9746438,0.02115745,0.000009870868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009234408,0.03125047,0.413912,0.01199022,0.002053591,0.0001487828,0.0009939868,0.0003359323,0.5300807],"genre_scores_gemma":[0.6725559,0.04011717,0.1626731,0.008095515,0.01106192,0.0008277221,0.001042587,0.0006985211,0.1029276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01520378,"threshold_uncertainty_score":0.05086172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286672472257249,"score_gpt":0.2561531032823148,"score_spread":0.2432863785597423,"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."}}