{"id":"W2899292286","doi":"10.1145/3267305.3274111","title":"Pseudo-Ambience","year":2018,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Faculty of Engineering, McGill University","keywords":"Computer science; Haptic technology; Human–computer interaction; Modalities; Focus (optics); Context (archaeology); Mobile device; Multimedia; Artificial intelligence; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005302107,0.0005492452,0.0002983328,0.0004355301,0.000481756,0.001706954,0.0007083987,0.0008400076,0.02387541],"category_scores_gemma":[0.004037924,0.0001952031,0.0003557323,0.0003194788,0.0007964945,0.00203013,0.002437807,0.0006126519,0.003578519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529443,"about_ca_system_score_gemma":0.0001580813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001578585,"about_ca_topic_score_gemma":0.0002103912,"domain_scores_codex":[0.9992205,0.0002003944,0.00005348033,0.0001439024,0.0002902343,0.00009139102],"domain_scores_gemma":[0.998298,0.000748019,0.0001162951,0.0003544052,0.000336171,0.0001471305],"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":[0.002032116,0.0003252222,0.006082557,0.002736515,0.00008708951,0.002831882,0.006170179,0.0033068,0.1647443,0.2469987,0.04204224,0.5226426],"study_design_scores_gemma":[0.0002608398,0.002565705,0.02540542,0.0009291942,0.0001557703,0.01091585,0.002845654,0.03364373,0.05156273,0.1365499,0.7347922,0.0003729561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1777375,0.003870905,0.4281798,0.001431793,0.002066232,0.0006577379,0.001699079,0.00492471,0.3794322],"genre_scores_gemma":[0.8817396,0.001345478,0.05860351,0.001042589,0.0003774373,0.0007821652,0.0008733151,0.0005325339,0.05470341],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02387541,"threshold_uncertainty_score":0.07987124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3960758210320626,"score_gpt":0.487437475555257,"score_spread":0.09136165452319445,"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."}}