{"id":"W2115303515","doi":"10.2196/mhealth.2730","title":"Indoor and Outdoor Social Alarms: Understanding Users' Perspectives","year":2014,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Länsförsäkringar; VINNOVA","keywords":"ALARM; Wearable computer; Work (physics); Internet privacy; Phone; Computer science; Applied psychology; Computer security; Psychology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008281257,0.0006924899,0.0006149204,0.002434973,0.004886368,0.006870776,0.0009853031,0.002137063,0.002940413],"category_scores_gemma":[0.01418306,0.0004992652,0.000743711,0.00125957,0.003341001,0.007422318,0.005393764,0.002303378,0.0005907738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002265259,"about_ca_system_score_gemma":0.001398014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008297886,"about_ca_topic_score_gemma":0.008130141,"domain_scores_codex":[0.9920778,0.005061328,0.0003193694,0.0003916464,0.001168977,0.000981005],"domain_scores_gemma":[0.9850813,0.008919816,0.00136931,0.0003060967,0.002327685,0.001995733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003173373,0.00003803421,0.01545241,0.0001115315,0.00001034751,0.0006640911,0.9723712,0.00003196836,0.0005280222,0.0008290786,0.0009541608,0.008977533],"study_design_scores_gemma":[0.000002608198,0.00006720566,0.005601249,0.00009019084,0.00001142751,0.0003498767,0.9822352,0.0001697147,0.0001155225,0.0002744703,0.01105749,0.00002503659],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788994,0.001263138,0.001582362,0.003645921,0.00009889036,0.00005020819,0.0001176495,0.00003756319,0.01430488],"genre_scores_gemma":[0.9957437,0.0009036601,0.0004844469,0.0008191524,0.00005094206,0.00004186346,0.00005187814,0.0000221134,0.001882208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008297886,"threshold_uncertainty_score":0.043796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052742783431417,"score_gpt":0.3609849081287182,"score_spread":0.2557106297855765,"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."}}