{"id":"W4404535977","doi":"10.3390/e26110996","title":"Derangetropy in Probability Distributions and Information Dynamics","year":2024,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Statistical physics; Probability distribution; Information theory; Scalar (mathematics); Entropy (arrow of time); Computer science; Principle of maximum entropy; Mathematics; Probability and statistics; Representation (politics); Information diagram; Theoretical computer science; Maximum entropy thermodynamics; Artificial intelligence; Binary entropy function; 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":[0.001706941,0.0005012304,0.0005400286,0.001892017,0.0007393394,0.002616079,0.0007811282,0.0009445147,0.00290948],"category_scores_gemma":[0.008852303,0.000229354,0.0005615339,0.001231695,0.004612969,0.00579526,0.001702888,0.001425713,0.0004210317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134383,"about_ca_system_score_gemma":0.0005382467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008023248,"about_ca_topic_score_gemma":0.0004263123,"domain_scores_codex":[0.9989427,0.0004037186,0.00006207107,0.000207245,0.0002736175,0.000110733],"domain_scores_gemma":[0.9942537,0.003699898,0.0007015567,0.0006796657,0.0004160317,0.0002491212],"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":[0.000006421904,0.000004790937,0.0002604005,0.00001547156,0.000005451057,0.00004871047,0.00008063408,0.0105299,0.0007463107,0.9842679,0.0002172756,0.00381677],"study_design_scores_gemma":[0.000002406177,0.0000123361,0.0002930565,0.000009885245,0.000002474894,0.00009073802,0.00002564282,0.05219392,0.0003705898,0.9450546,0.001933635,0.00001082066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1029215,0.002157255,0.8635085,0.002131074,0.0001485502,0.00003501045,0.0002631853,0.0001791797,0.0286557],"genre_scores_gemma":[0.932714,0.001510425,0.06052342,0.0003076173,0.00030891,0.0001003577,0.0001272862,0.00009838933,0.004309583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00290948,"threshold_uncertainty_score":0.0097332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157030597877535,"score_gpt":0.2332248688166125,"score_spread":0.2216545628378372,"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."}}