{"id":"W1523797578","doi":"10.4271/2007-01-1739","title":"Adaptive In-Vehicle Information Systems and Their Usability Evaluation","year":2007,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Usability; Computer science; Human–computer interaction","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0052838,0.0005218372,0.0006310222,0.0002820869,0.0002676,0.0002901817,0.001225401,0.0006250881,0.00004769409],"category_scores_gemma":[0.001327943,0.0004251451,0.0001780419,0.00103183,0.0007277703,0.002717799,0.0005386716,0.0009556866,0.00007870558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006073942,"about_ca_system_score_gemma":0.0001399356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001560075,"about_ca_topic_score_gemma":0.04208153,"domain_scores_codex":[0.9955905,0.0004078606,0.001283635,0.0009485653,0.0009916301,0.0007777879],"domain_scores_gemma":[0.9966158,0.001075236,0.0002489975,0.001464113,0.0003027904,0.0002930519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005545404,0.0005819733,0.00160757,0.00009618084,0.00003475378,0.000008558304,0.000833673,0.0002445721,0.8463402,0.08274615,0.0005347069,0.06641714],"study_design_scores_gemma":[0.0006833242,0.001104866,0.9839833,0.0001436101,0.00001540896,0.00004223361,0.0004785609,0.00004142823,0.0002586783,0.007122606,0.005655097,0.0004708202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627692,0.0004245232,0.0005644455,0.002528215,0.0004559899,0.002596192,0.00002715892,0.00165127,0.02898305],"genre_scores_gemma":[0.9958948,0.00004477037,0.00293778,0.0007990047,0.00004938224,0.0002135039,0.00001128673,0.0000220739,0.00002736513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9823758,"threshold_uncertainty_score":0.9998201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02863928163527837,"score_gpt":0.2700581801349282,"score_spread":0.2414188984996498,"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."}}