{"id":"W3035260089","doi":"","title":"Natural Language Processing, Wearables, and Their Combination in Healthcare: Opportunities, Challenges, and Considerations","year":2020,"lang":"en","type":"article","venue":"International Conference on eHealth, Telemedicine, and Social Medicine","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Wearable computer; Computer science; Health care; Natural (archaeology); Natural language; Artificial intelligence; Political science; Embedded system; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0003618616,0.0001904451,0.0003177251,0.0001902976,0.0002249665,0.000061638,0.0001980396,0.000089879,0.00002933705],"category_scores_gemma":[0.0001768035,0.0001557927,0.0000125455,0.0001027439,0.0002609284,0.0003767052,0.00007841994,0.0004803802,0.000001180763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006504465,"about_ca_system_score_gemma":0.0002245858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010327,"about_ca_topic_score_gemma":0.001444637,"domain_scores_codex":[0.9984829,0.0001360191,0.0004162717,0.0004084921,0.0003354924,0.0002208272],"domain_scores_gemma":[0.9989915,0.0002638317,0.0001809942,0.00009660896,0.0002640547,0.0002029641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003206285,0.00004813619,0.0002247343,0.0001840088,0.00001709126,0.0000366722,0.07069539,1.522382e-7,0.0001423861,0.6546158,0.000685475,0.2733181],"study_design_scores_gemma":[0.01848588,0.006050091,0.09037461,0.003722792,0.00006868898,0.0008123118,0.244283,0.4015638,0.00009177153,0.1753098,0.05726878,0.001968471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03193739,0.008669958,0.001331055,0.9530036,0.00055158,0.0003457382,0.00001392495,0.0001044473,0.004042281],"genre_scores_gemma":[0.9719349,0.006682355,0.00026147,0.02061126,0.0003955321,0.0000261271,0.00003494162,0.000009416901,0.00004403545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9399975,"threshold_uncertainty_score":0.635304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243039791744606,"score_gpt":0.3414035165604892,"score_spread":0.2170995373860286,"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."}}