{"id":"W2613832828","doi":"10.1007/978-3-319-58481-2_17","title":"Improving Healthcare with Wearables: Overcoming the Barriers to Adoption","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Abandonment (legal); Wearable computer; Health care; Wearable technology; Context (archaeology); Computer science; Order (exchange); Internet privacy; Knowledge management; Business","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003050945,0.0003988994,0.000472435,0.0009460439,0.001411201,0.001124065,0.004314404,0.0004043761,0.00008865383],"category_scores_gemma":[0.0014445,0.0002359171,0.0001032019,0.0004138008,0.001233379,0.0004623169,0.0009556405,0.001189775,0.0001037094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000265224,"about_ca_system_score_gemma":0.0009414893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001289458,"about_ca_topic_score_gemma":0.001383122,"domain_scores_codex":[0.995454,0.00005667356,0.0005478609,0.001458898,0.001896158,0.0005863903],"domain_scores_gemma":[0.9955733,0.0005619019,0.0005588322,0.002483171,0.0004852928,0.0003374587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003393458,0.000006497431,0.005402316,0.000008588894,0.000005100445,0.00005448046,0.001311742,0.006152156,0.00007901248,0.004469442,0.00008037598,0.9823964],"study_design_scores_gemma":[0.003412648,0.003546179,0.06328234,0.005428486,0.0001623743,0.001202783,0.0001989298,0.1805644,0.002682837,0.6323032,0.1001659,0.007049873],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006274893,0.0002065357,0.9805052,0.009991713,0.001404766,0.0006076046,0.00001303503,0.00012585,0.0008703563],"genre_scores_gemma":[0.9378173,0.00001571662,0.05567433,0.004421539,0.0002798155,0.00001738689,0.000001472108,0.00003878455,0.001733693],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9753465,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05440652095714286,"score_gpt":0.3341350165086353,"score_spread":0.2797284955514924,"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."}}