{"id":"W2092525038","doi":"10.3390/e17041690","title":"Maximum Entropy and Probability Kinematics Constrained by Conditionals","year":2015,"lang":"en","type":"article","venue":"Entropy","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Principle of maximum entropy; Chain rule (probability); Conditional probability; Mathematics; Conditional entropy; Entropy (arrow of time); Conditional independence; Law of total probability; Mathematical economics; Combinatorics; Mathematical optimization; Applied mathematics; Discrete mathematics; Posterior probability; Statistics; Physics; Thermodynamics; Bayesian probability","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":[0.003495852,0.0004088409,0.0006364402,0.001284533,0.001070463,0.002230516,0.00125971,0.001247988,0.004710543],"category_scores_gemma":[0.01131147,0.0004932934,0.001025582,0.000820238,0.006993765,0.006534573,0.002905852,0.002206578,0.0005082292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162283,"about_ca_system_score_gemma":0.0009298646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041773,"about_ca_topic_score_gemma":0.0006770768,"domain_scores_codex":[0.9981886,0.0008112444,0.00008416145,0.0003419138,0.0004017837,0.0001723398],"domain_scores_gemma":[0.995479,0.002964739,0.0003999811,0.0006315323,0.0003440864,0.000180511],"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":[0.000002426476,0.000001450792,0.00004998584,0.000005339013,0.000001905151,0.000009222646,0.00003148764,0.002066179,0.00006132137,0.9966058,0.0000970389,0.001067909],"study_design_scores_gemma":[0.000001586897,0.00000157128,0.00004914032,0.000003083414,7.484426e-7,0.00000710299,0.000006557662,0.004811276,0.0000571029,0.9946254,0.0004337232,0.000002745591],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07680609,0.00126446,0.8514761,0.003856846,0.0001782534,0.00003686572,0.0001774567,0.0002809542,0.06592306],"genre_scores_gemma":[0.9085826,0.0007396603,0.08067359,0.0004053626,0.0003092198,0.0001036564,0.0001459585,0.0001344089,0.008905426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004710543,"threshold_uncertainty_score":0.01848811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964385618354433,"score_gpt":0.2579200657281247,"score_spread":0.2382762095445804,"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."}}