{"id":"W1999976008","doi":"10.1108/14636690510628300","title":"The dark side of ambient intelligence","year":2005,"lang":"en","type":"article","venue":"Info","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swami; Context (archaeology); Originality; Quarter (Canadian coin); Value (mathematics); Identity (music); Business; Internet privacy; Computer science; Sociology; Social science; Geography; Qualitative research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003430085,0.00006110319,0.00008590564,0.0000360372,0.00007723311,0.0000864785,0.0006776386,0.0000234175,0.00000990781],"category_scores_gemma":[0.00009961298,0.00004438536,0.00004854647,0.0001997482,0.0000534467,0.0003463756,0.0001770957,0.00007110462,0.0002812749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004729928,"about_ca_system_score_gemma":0.00004736791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009270072,"about_ca_topic_score_gemma":0.0002174675,"domain_scores_codex":[0.9992061,0.00004736596,0.0002446977,0.0001302547,0.0002339521,0.0001376381],"domain_scores_gemma":[0.998923,0.0003482399,0.0001124392,0.0004673735,0.0001093536,0.00003961649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002410216,0.0000212338,0.0002458356,0.00000347249,0.000009123311,0.000001166973,0.0009862737,0.00005161742,0.0008134794,0.007913227,0.001093613,0.9888585],"study_design_scores_gemma":[0.0002582294,0.0001547475,0.006358026,0.0001127361,0.000007333661,0.00008641717,0.0004213384,0.02434194,0.2638752,0.007600406,0.6963811,0.0004025594],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08482627,0.0003736187,0.8464568,0.00480598,0.0009833538,0.0003394961,0.000004188944,0.0001916519,0.06201861],"genre_scores_gemma":[0.9977303,0.0000117718,0.001462078,0.0002231133,0.00005670266,0.00001092597,1.81223e-7,0.000002644147,0.0005023371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.988456,"threshold_uncertainty_score":0.3615314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605067775023021,"score_gpt":0.2672301805398627,"score_spread":0.2411795027896325,"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."}}