{"id":"W1604837868","doi":"10.48550/arxiv.1301.3859","title":"Building a Stochastic Dynamic Model of Application Use","year":2013,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Adaptation (eye); Interface (matter); State space; User interface; State (computer science); Space (punctuation); Stochastic modelling; User modeling; Distributed computing; Human–computer interaction; Algorithm; Programming language","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":[0.00006543953,0.00007437744,0.0001051501,0.0001442233,0.00005732926,0.00004389554,0.0006230389,0.00003368469,0.000004375067],"category_scores_gemma":[0.00001940276,0.00008097411,0.00005525926,0.0005448132,0.00003816662,0.0008918184,0.0001888651,0.00005610509,0.00004885013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000363984,"about_ca_system_score_gemma":0.00002688285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002342293,"about_ca_topic_score_gemma":0.00001070211,"domain_scores_codex":[0.9993862,0.00001965148,0.000089967,0.0003249478,0.00004456773,0.0001347032],"domain_scores_gemma":[0.9991537,0.00005432167,0.00008904325,0.0005588741,0.00008172081,0.00006229148],"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":[0.000001486399,0.00003229915,0.0003165329,0.000004915758,0.00002015134,0.000001445266,0.00005487724,0.8431596,0.006697796,0.1477428,0.00003364038,0.001934428],"study_design_scores_gemma":[0.0001022759,0.00001008318,0.0003566761,0.000007582142,0.00001957744,5.271697e-7,0.00001637986,0.9879937,0.00008590239,0.01131687,0.000004095004,0.00008629893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4086724,0.000001926933,0.5911874,0.00001777313,0.00000782404,0.00003802258,0.000002374951,0.00003869425,0.00003366567],"genre_scores_gemma":[0.9786501,0.00000308281,0.02099663,0.0000205307,0.000003204684,5.493602e-7,0.000002759348,0.000003892394,0.0003192728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5701907,"threshold_uncertainty_score":0.3302028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04866406720913448,"score_gpt":0.1758890973686177,"score_spread":0.1272250301594833,"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."}}