{"id":"W3027025074","doi":"10.18573/book3.n","title":"Is Going Unnoticed More Socially Acceptable?: An Exploration of the Relationship Between Social Acceptability and Noticeability of Fitness Trackers","year":2020,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Activity tracker; BitTorrent tracker; Psychology; Computer science; Artificial intelligence; Physical medicine and rehabilitation; Medicine; Eye tracking; Physical activity","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":[],"consensus_categories":[],"category_scores_codex":[0.0005575179,0.0001289291,0.0002522896,0.00006381053,0.0002759492,0.00004895867,0.0006612984,0.0001694663,0.00005285701],"category_scores_gemma":[0.0007711927,0.0001081884,0.00007328246,0.0008987748,0.00041098,0.003020514,0.0002547669,0.0003238107,0.000002321044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006663954,"about_ca_system_score_gemma":0.0001389007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003553142,"about_ca_topic_score_gemma":0.00004866204,"domain_scores_codex":[0.9983928,0.0002570166,0.0005325924,0.0003825694,0.0002854674,0.0001495764],"domain_scores_gemma":[0.9983727,0.0004026355,0.0004261335,0.0003745364,0.0003926661,0.00003130775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002987071,0.00009320097,0.8308095,0.0001156176,0.00003631024,1.415455e-7,0.03773123,0.00003054741,0.002170932,0.1186324,0.00007742802,0.01027281],"study_design_scores_gemma":[0.0002566566,0.00007534726,0.9567434,0.000005550473,0.00002211988,1.782496e-7,0.002775032,0.00314729,0.01890205,0.01795392,0.000009802283,0.0001087149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8712222,0.000001737843,0.111137,0.01690011,0.00006850079,0.0002923462,0.000008328955,0.00008829048,0.0002815228],"genre_scores_gemma":[0.9914985,1.494246e-7,0.008094896,0.0003237706,0.00005270679,0.000008144876,0.000004241247,0.000006889808,0.0000107357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1259338,"threshold_uncertainty_score":0.4411794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1840873159089828,"score_gpt":0.3669458438314517,"score_spread":0.1828585279224689,"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."}}