{"id":"W2090740586","doi":"10.2197/ipsjjip.19.231","title":"Defining and Investigating Device Comfort","year":2011,"lang":"en","type":"article","venue":"Journal of Information Processing","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Carleton University; Communications Research Centre Canada","funders":"","keywords":"Computer science; Context (archaeology); Human–computer interaction; Mobile device; Work (physics); State (computer science); Context awareness; World Wide Web","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":[0.0006053407,0.00005007888,0.00009069863,0.0001559427,0.0001116668,0.0002594044,0.0002328978,0.00002601086,0.000002427693],"category_scores_gemma":[0.0001075462,0.0000413297,0.00001862519,0.0001884193,0.0000207824,0.005322441,0.00004424544,0.0001017036,0.000006997022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001354273,"about_ca_system_score_gemma":0.0001042457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003270183,"about_ca_topic_score_gemma":4.810558e-7,"domain_scores_codex":[0.9991578,0.00001864708,0.0005146454,0.00003260704,0.0001975081,0.00007875222],"domain_scores_gemma":[0.9988933,0.00001859742,0.0006892192,0.00006598223,0.0002579802,0.00007490799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005510667,0.00002472515,0.02086662,0.000340312,0.00001910862,0.000002476243,0.6109452,0.000006549284,0.00009343507,0.05156137,0.000185407,0.3159493],"study_design_scores_gemma":[0.002284034,0.0003642097,0.08420596,0.002187609,0.00005471942,0.002755869,0.01553603,0.8376217,0.007964065,0.03123835,0.01501561,0.0007718678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3560807,0.0004940269,0.6345568,0.000364351,0.0002445554,0.00007322466,3.232713e-7,0.00005775153,0.008128205],"genre_scores_gemma":[0.9370124,0.000004521797,0.06242039,0.000544463,0.00001153681,5.474924e-7,2.832362e-7,0.000001496146,0.000004304986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8376151,"threshold_uncertainty_score":0.3858641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043027330976246,"score_gpt":0.250170893830511,"score_spread":0.2197406205207485,"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."}}