{"id":"W2756171776","doi":"10.1145/3131892","title":"Smartwatch Wearing Behavior Analysis","year":2017,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Smartwatch; Wearable computer; Human–computer interaction; Wearable technology; Computer science; Multimedia; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.00029248,0.000266602,0.0004185128,0.00063231,0.0008566584,0.0004538193,0.006364787,0.0002342853,0.000008043364],"category_scores_gemma":[0.001737131,0.0001937255,0.0001715382,0.0006389677,0.0006240539,0.001454673,0.005555976,0.0007601259,0.00001239136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064606,"about_ca_system_score_gemma":0.00001742125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008568086,"about_ca_topic_score_gemma":0.00001435926,"domain_scores_codex":[0.9983769,0.000008384307,0.000343136,0.0006398018,0.0002779496,0.0003538407],"domain_scores_gemma":[0.9966051,0.0001153039,0.0008707377,0.001897221,0.0004919707,0.00001964788],"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":[0.0001956324,0.0007791058,0.2118694,0.0001211793,0.001561848,0.00001495471,0.001838697,0.00002430674,0.4350174,0.1074646,0.001926889,0.239186],"study_design_scores_gemma":[0.0002293503,0.0004663224,0.05184061,0.0001901973,0.0001593075,0.00002591658,0.001857519,0.000584461,0.9199995,0.0236715,0.0007016374,0.0002737029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918677,0.00007151652,0.0002086277,0.002626314,0.0003431968,0.0004654632,0.000003044054,0.0005980825,0.003816035],"genre_scores_gemma":[0.9958281,0.00008172914,0.003151433,0.00003960615,0.00001911098,0.0003765267,2.092556e-7,0.00001365363,0.000489647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.484982,"threshold_uncertainty_score":0.9990113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861417427632094,"score_gpt":0.2913741271138384,"score_spread":0.2727599528375175,"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."}}