{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02450677,0.001563,0.001544017,0.006103015,0.007571402,0.01398974,0.003162178,0.01023823,0.003941743],"category_scores_gemma":[0.03844313,0.001067196,0.001785973,0.004947277,0.03735469,0.03672917,0.01270427,0.01193454,0.0007516178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003260681,"about_ca_system_score_gemma":0.002867536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243873,"about_ca_topic_score_gemma":0.004056603,"domain_scores_codex":[0.9590605,0.03419868,0.000864308,0.001328089,0.003544651,0.001003724],"domain_scores_gemma":[0.8981932,0.09048053,0.002283562,0.004394402,0.002969714,0.001678627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002243731,0.0002026662,0.005141287,0.003152556,0.00008756414,0.002981511,0.2165236,0.002029903,0.002263421,0.6941642,0.007879593,0.06534939],"study_design_scores_gemma":[0.00009756281,0.0003799863,0.003254435,0.003489909,0.00007854494,0.004290951,0.1353488,0.003525199,0.001536222,0.5478565,0.2999332,0.0002087469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08207864,0.10605,0.4171129,0.3001818,0.004287883,0.0005566943,0.0001331702,0.0004207226,0.0891782],"genre_scores_gemma":[0.7237203,0.0369746,0.2079557,0.02280205,0.00191886,0.001366448,0.00008790793,0.0003027401,0.004871564],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02450677,"threshold_uncertainty_score":0.1296057,"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."}}