{"id":"W72296954","doi":"10.17705/1thci.00022","title":"A Call for Engaging Context in HCI/MIS Research with Examples from the Area of Technology Interruptions","year":2010,"lang":"en","type":"article","venue":"AIS Transactions on Human-Computer Interaction","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Context (archaeology); Set (abstract data type); Computer science; Task (project management); Human–computer interaction; Knowledge management; Core (optical fiber); Data science; Engineering; Systems engineering","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":[0.001498239,0.0001513256,0.0002312593,0.001309279,0.0004981175,0.0002651491,0.0007096307,0.0001076617,0.0005158191],"category_scores_gemma":[0.00009367157,0.0001016103,0.000128213,0.0008672496,0.0002263498,0.000787655,0.00001746814,0.0009328753,0.0000564226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006454302,"about_ca_system_score_gemma":0.00003331921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007669737,"about_ca_topic_score_gemma":0.01041644,"domain_scores_codex":[0.9979627,0.0001368302,0.0006454356,0.0003883854,0.0006212402,0.000245414],"domain_scores_gemma":[0.9964678,0.002132858,0.0001963642,0.0005950494,0.0005649244,0.00004303812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005517058,0.0008225404,0.00853554,0.00001441593,0.0001441349,0.000004770377,0.01737726,0.002664534,0.009442747,0.007201517,0.006287288,0.9469535],"study_design_scores_gemma":[0.009416222,0.003618548,0.2446817,0.001173701,0.0002649009,0.00007547296,0.1206658,0.1754963,0.03207644,0.01713683,0.3937795,0.001614499],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7057329,0.000006480839,0.2903869,0.002318255,0.0004914418,0.0005048061,0.00004597269,0.00004789462,0.0004653144],"genre_scores_gemma":[0.9964238,0.000002569171,0.002733367,0.0001762475,0.00007438227,0.0002098093,0.00001882207,0.00001253709,0.0003485095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.945339,"threshold_uncertainty_score":0.5812618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5331789591912043,"score_gpt":0.5106207457104266,"score_spread":0.02255821348077769,"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."}}