{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007818844,0.0003090232,0.0003362449,0.0009739306,0.001020312,0.002979154,0.0005384462,0.0008176472,0.002030055],"category_scores_gemma":[0.0424568,0.0002515367,0.0005336906,0.0005479055,0.002222417,0.002562325,0.001890671,0.001441773,0.000162524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008636831,"about_ca_system_score_gemma":0.0007057334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002779907,"about_ca_topic_score_gemma":0.003251754,"domain_scores_codex":[0.9938847,0.003825426,0.0003629864,0.0005246872,0.001086694,0.0003154224],"domain_scores_gemma":[0.9428511,0.0384962,0.01145636,0.001523154,0.004000118,0.001673115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004932696,0.000649169,0.7249098,0.0003504662,0.0002107284,0.0006123721,0.2308044,0.0001889992,0.004230724,0.002576482,0.000366581,0.034607],"study_design_scores_gemma":[0.00001744384,0.0005369248,0.8666743,0.00008751575,0.00009896445,0.0004350634,0.1261585,0.001700425,0.0006750647,0.001119093,0.00243044,0.00006625455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955453,0.00009523587,0.0009229102,0.0002599104,0.000008548606,0.00002562161,0.00002440084,0.000005483791,0.00311257],"genre_scores_gemma":[0.9994162,0.00004274443,0.0002822812,0.0000487286,0.000007068719,0.000009628698,0.00001485106,0.000003471946,0.0001750452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007818844,"threshold_uncertainty_score":0.04135054,"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."}}