{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008896712,0.0001835882,0.0003429323,0.0001853709,0.0006873133,0.0002188168,0.0001992526,0.0001128166,0.000006243828],"category_scores_gemma":[0.00005401956,0.0001763201,0.00004019096,0.0002549689,0.0001157553,0.0005326422,0.0001314989,0.0002688728,0.00001325596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371824,"about_ca_system_score_gemma":0.0002039259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002100124,"about_ca_topic_score_gemma":0.0001548534,"domain_scores_codex":[0.9980519,0.0003164647,0.0002995811,0.0005630813,0.0002636182,0.0005053104],"domain_scores_gemma":[0.9988387,0.0002710179,0.0002077121,0.0002189816,0.00006680083,0.0003968384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001674962,0.0003730583,0.03541991,0.002081967,0.00007421566,0.00001098956,0.1206876,3.798449e-7,0.00008835344,0.4951263,0.006549662,0.3394201],"study_design_scores_gemma":[0.01642334,0.003629321,0.7014571,0.0006788502,0.0001570468,0.0006339782,0.1015254,0.0287711,0.00009227862,0.07655036,0.06662667,0.003454536],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6765428,0.001237539,0.2925267,0.02350736,0.0006515832,0.0009953622,0.00001839899,0.0004745602,0.004045672],"genre_scores_gemma":[0.9973995,0.0001455465,0.0007581739,0.001268933,0.000307166,0.00003236531,0.000001882158,0.0000140456,0.0000723848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6660371,"threshold_uncertainty_score":0.7190125,"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."}}