{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001546493,0.0001659836,0.0002321565,0.00002115551,0.00006764167,0.00007138842,0.00009083868,0.00003549238,0.001588421],"category_scores_gemma":[0.00006873611,0.0001456632,0.00004688447,0.00006408495,0.0001155495,0.00007102095,0.0000500301,0.0001146001,0.00009980327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000283796,"about_ca_system_score_gemma":0.00005383839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003795305,"about_ca_topic_score_gemma":1.358353e-7,"domain_scores_codex":[0.9989135,0.00005493696,0.0002596027,0.0002497448,0.0002318253,0.0002904226],"domain_scores_gemma":[0.9992209,0.0001155032,0.00008649409,0.0001730523,0.00009836601,0.0003056749],"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":[0.0000190816,0.0001353282,0.002538103,0.00001094758,0.00004427614,0.000001870013,0.00006562786,0.00000628614,0.001102975,0.9676799,0.02722611,0.00116956],"study_design_scores_gemma":[0.001801463,0.0001326274,0.0002132912,0.00001440749,0.00004371041,0.000003012377,0.0002400622,0.008206576,0.001641757,0.9753427,0.01211144,0.000248973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3494023,0.0001816428,0.634344,0.002273577,0.00060224,0.0008657193,0.001765845,0.0001145121,0.01045016],"genre_scores_gemma":[0.9886436,0.000002091576,0.0104457,0.0001521717,0.0002002743,0.00003982954,0.0002260458,0.00001659933,0.0002736267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6392413,"threshold_uncertainty_score":0.9993243,"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."}}