{"id":"W4403668481","doi":"10.1101/2024.10.23.619903","title":"Touchscreen response precision is sensitive to the explore/exploit tradeoff","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute of Mental Health; National Institute on Drug Abuse; Natural Sciences and Engineering Research Council of Canada","keywords":"Exploit; Touchscreen; Computer science; Human–computer interaction; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00140629,0.0007478162,0.0005709038,0.0005303565,0.0003043322,0.0009743334,0.002433728,0.0004025887,0.00003544195],"category_scores_gemma":[0.0004880521,0.0006095931,0.0003979152,0.001133514,0.00008620715,0.0004277242,0.003755538,0.001484717,0.002200686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004516199,"about_ca_system_score_gemma":0.0006930244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005532912,"about_ca_topic_score_gemma":0.000002113962,"domain_scores_codex":[0.9953058,0.0005861337,0.0005852805,0.001921011,0.0008170312,0.0007847401],"domain_scores_gemma":[0.9952571,0.0004668384,0.0002657056,0.00283356,0.0008146205,0.0003621329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005352012,0.0001378877,0.0000505868,0.0001152977,0.0004029126,0.0004109239,0.001574046,0.00009233299,0.9533207,0.003486007,0.03984325,0.00003086849],"study_design_scores_gemma":[0.0002588506,0.0002564121,0.02178058,0.001005208,0.0001104694,1.435734e-7,0.00007584124,0.003895737,0.9282091,0.00002080207,0.04323382,0.00115303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.81132,0.0005373961,0.1545275,0.02379877,0.006320526,0.002289107,0.0005977929,0.0005109045,0.00009797837],"genre_scores_gemma":[0.9897652,0.00006656508,0.004897606,0.00420381,0.0005877058,0.0002968711,2.050986e-7,0.0001184671,0.00006353416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1784452,"threshold_uncertainty_score":0.9996355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548591405123216,"score_gpt":0.2536069926153895,"score_spread":0.2281210785641573,"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."}}