{"id":"W2762321513","doi":"10.1145/3132272.3132291","title":"Ambient Notifications with Shape Changing Circuits in Peripheral Locations","year":2017,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Task (project management); Distraction; Set (abstract data type); Embedding; Peripheral; Human–computer interaction; Electronic circuit; Artificial intelligence; Engineering; Electrical 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":[0.0008251832,0.0007149394,0.0004776111,0.0003377082,0.0005236776,0.001436008,0.000861831,0.00100104,0.01062736],"category_scores_gemma":[0.01380618,0.0002768863,0.0002934246,0.0003297042,0.0004508652,0.001666801,0.001575771,0.0006175785,0.001133991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003824405,"about_ca_system_score_gemma":0.0003389174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000877546,"about_ca_topic_score_gemma":0.0009888413,"domain_scores_codex":[0.9987393,0.0005069493,0.0000726797,0.0002676008,0.0002537899,0.0001596557],"domain_scores_gemma":[0.9931739,0.004144733,0.000580104,0.0009330284,0.0006339824,0.0005342303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01518669,0.004415051,0.02715371,0.00228928,0.000108905,0.001503745,0.01636226,0.01444781,0.4803356,0.008621263,0.006222646,0.4233531],"study_design_scores_gemma":[0.004432538,0.0528274,0.3097481,0.001485441,0.001329224,0.004141639,0.01314202,0.1488833,0.3136989,0.02734143,0.1219427,0.001027407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336221,0.0002123,0.05186801,0.0001375089,0.0001525074,0.0004715467,0.000248123,0.001966515,0.01132154],"genre_scores_gemma":[0.9677657,0.00008166269,0.02842451,0.0001608476,0.0000446398,0.0003004981,0.0001273468,0.0001204241,0.002974285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01062736,"threshold_uncertainty_score":0.03555208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3083288576229203,"score_gpt":0.4332819472338779,"score_spread":0.1249530896109576,"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."}}