{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008658391,0.00004405354,0.00005668512,0.0001314117,0.0001192494,0.000238035,0.0005066363,0.00001601026,0.01181657],"category_scores_gemma":[0.0002095666,0.00002785168,0.00003468855,0.0004782054,0.00009181678,0.0006964106,0.00009728794,0.00002444809,0.02190978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006258181,"about_ca_system_score_gemma":0.0000100866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009429301,"about_ca_topic_score_gemma":0.00001881322,"domain_scores_codex":[0.9987795,0.00001558551,0.0002254088,0.0001348259,0.0007260197,0.0001186556],"domain_scores_gemma":[0.9993558,0.00006757209,0.00005173923,0.000269912,0.0002026159,0.00005236858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001293222,0.00003142573,0.05184781,5.850567e-7,0.000003277314,0.000002175315,0.001061883,0.000001769233,0.0006982733,0.08893442,0.7067879,0.1506175],"study_design_scores_gemma":[0.0002015338,0.00008524203,0.2338729,0.000002018954,0.000004022036,0.00000330778,0.001452459,0.006555658,0.001806202,0.01292283,0.7429326,0.0001612388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5850571,0.000001688696,0.01086197,0.001061713,0.0002930927,0.00004840777,9.034967e-7,0.00005680894,0.4026183],"genre_scores_gemma":[0.9291257,5.384946e-7,0.002064637,0.001788486,0.00008228897,0.000002218086,3.987554e-7,0.000001408188,0.06693427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3440686,"threshold_uncertainty_score":0.9890867,"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."}}