{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002558673,0.0007790023,0.0004673283,0.001123733,0.00182345,0.005784537,0.001286374,0.001901081,0.003705643],"category_scores_gemma":[0.00947442,0.0005968607,0.0009394094,0.0009950935,0.006283673,0.009372501,0.005996864,0.001845549,0.0005066654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966527,"about_ca_system_score_gemma":0.001077225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003845834,"about_ca_topic_score_gemma":0.001884562,"domain_scores_codex":[0.9962263,0.001525236,0.0003188872,0.0004809315,0.0009308085,0.0005177788],"domain_scores_gemma":[0.9941033,0.002600358,0.0008328128,0.0009905905,0.00112435,0.0003485712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001868833,0.00007742224,0.01066765,0.0006813296,0.00005275178,0.001060742,0.03359294,0.01140599,0.009957318,0.8900867,0.001438954,0.04079118],"study_design_scores_gemma":[0.00008467459,0.00124286,0.02974779,0.002184099,0.0002659019,0.006255195,0.05508754,0.164403,0.02653511,0.4517271,0.2620244,0.0004423138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2401016,0.003481897,0.6713257,0.002055529,0.0002055179,0.0003418428,0.0002638845,0.0003196051,0.0819044],"genre_scores_gemma":[0.9512351,0.0009092606,0.0419242,0.0002003617,0.00005606471,0.0001561452,0.00009392412,0.00005587565,0.005369196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005784537,"threshold_uncertainty_score":0.01426816,"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."}}