{"id":"W3081577637","doi":"10.1002/asmb.2566","title":"On the information properties of working used systems using dynamic signature","year":2020,"lang":"en","type":"article","venue":"Applied Stochastic Models in Business and Industry","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Predictability; Entropy (arrow of time); Closeness; Information theory; Kullback–Leibler divergence; Divergence (linguistics); Residual; Computer science; Joint entropy; Mathematics; Signature (topology); Applied mathematics; Statistical physics; Algorithm; Principle of maximum entropy; Statistics; Artificial intelligence; Physics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0006202368,0.0001493299,0.0002778455,0.0001254913,0.00008933576,0.0001310244,0.000311822,0.0002621144,0.00000587454],"category_scores_gemma":[0.0006028069,0.00008557107,0.00001826565,0.0008225347,0.000104511,0.0002260278,0.00008775674,0.0004521072,0.000002418941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002847379,"about_ca_system_score_gemma":0.00008008167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001760051,"about_ca_topic_score_gemma":5.38269e-7,"domain_scores_codex":[0.998542,0.00003173131,0.0005100433,0.000204679,0.0005460358,0.0001655764],"domain_scores_gemma":[0.9990666,0.000343977,0.0001919178,0.0002177859,0.000128035,0.00005168951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004196194,0.000008313968,0.000005332931,0.00003211925,0.000004764639,3.490269e-7,0.0007463664,0.9292811,0.0005456046,0.0687105,0.0000234332,0.0006001792],"study_design_scores_gemma":[0.0002545052,0.000009984101,0.00006667348,0.0002396619,0.000007718942,0.000001834284,0.001104138,0.9917436,0.00002162087,0.006428277,0.000009843608,0.0001121187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2888334,0.0001257421,0.7100154,0.0003145392,0.0001100115,0.0003455108,0.000003927848,0.00001763391,0.0002337585],"genre_scores_gemma":[0.9995638,0.000001531392,0.0002338285,0.0001269621,0.00003132062,0.00002624087,0.000001179437,0.000008643268,0.000006506728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7107303,"threshold_uncertainty_score":0.3489487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1737364948687532,"score_gpt":0.2661978014313534,"score_spread":0.09246130656260024,"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."}}