{"id":"W1574538925","doi":"10.29173/irie91","title":"Ambient Intelligence and Problems with Inferring Desires from Behaviour","year":2007,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ambient intelligence; Presupposition; Adaptation (eye); Focus (optics); Natural (archaeology); Human intelligence; Relation (database); Psychology; Computer science; Reciprocal; Social psychology; Cognitive psychology; Epistemology; Human–computer interaction; Artificial intelligence; Philosophy","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":[0.04034901,0.000863735,0.001293326,0.003693386,0.002132698,0.00876485,0.003152564,0.003931237,0.002719013],"category_scores_gemma":[0.198234,0.001350362,0.001217547,0.00291989,0.0196422,0.0184503,0.008063418,0.005363985,0.0008184079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002567939,"about_ca_system_score_gemma":0.003069488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007978346,"about_ca_topic_score_gemma":0.003723833,"domain_scores_codex":[0.9415796,0.04304349,0.00368344,0.00432501,0.00647214,0.0008962787],"domain_scores_gemma":[0.8247775,0.1409057,0.01004691,0.01491677,0.008419752,0.0009333749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001064248,0.00007290913,0.0138959,0.000796083,0.0001841686,0.000534921,0.0229369,0.01084872,0.0005329661,0.8163117,0.002860425,0.130919],"study_design_scores_gemma":[0.00001583342,0.00001645952,0.002179541,0.0002190835,0.00001919068,0.0002499255,0.002470298,0.01480123,0.0004528588,0.9700416,0.009477331,0.00005678061],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08114782,0.006572266,0.791886,0.04979475,0.0003684127,0.0002982601,0.0003746493,0.0005422267,0.06901565],"genre_scores_gemma":[0.8205029,0.00461282,0.1663693,0.003650357,0.0002766758,0.0005025484,0.0004487881,0.0001833161,0.003453127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04034901,"threshold_uncertainty_score":0.2133885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08350021407144036,"score_gpt":0.3710282465595428,"score_spread":0.2875280324881024,"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."}}