{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004812465,0.0006344785,0.0004745434,0.001830033,0.0002661955,0.0006177831,0.0003746199,0.0003569188,0.002717833],"category_scores_gemma":[0.002062548,0.0001535748,0.0005340979,0.001172288,0.0001622739,0.0004651508,0.0005369034,0.0003771425,0.001645758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811232,"about_ca_system_score_gemma":0.0002426406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002690399,"about_ca_topic_score_gemma":0.007637149,"domain_scores_codex":[0.9994187,0.0001096876,0.00008618805,0.0001593543,0.0001588852,0.00006718896],"domain_scores_gemma":[0.9980063,0.0004716183,0.0004096203,0.0002422927,0.0007180465,0.0001521477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007596641,0.0007067545,0.7763235,0.001441706,0.0004094779,0.0003725105,0.002256114,0.001582761,0.01729938,0.0004221526,0.009371399,0.1890546],"study_design_scores_gemma":[0.00002427645,0.00045543,0.9743729,0.00008730572,0.0001014841,0.0004437892,0.001410573,0.00700081,0.006352435,0.0002870666,0.009415567,0.00004845029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633762,0.0004715877,0.008368919,0.0001075833,0.00003600532,0.0005068037,0.02043892,0.00066178,0.00603207],"genre_scores_gemma":[0.9596666,0.0005006769,0.01269252,0.0001085376,0.0000412638,0.0008962524,0.02066146,0.00007797481,0.00535469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002717833,"threshold_uncertainty_score":0.009092033,"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."}}