{"id":"W2754182177","doi":"10.4018/978-1-5225-3437-2","title":"Technology-Enhanced Human Interaction in Modern Society","year":2017,"lang":"en","type":"book","venue":"Advances in human and social aspects of technology book series","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Engineering ethics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002338581,0.000518035,0.0002490959,0.000461279,0.001251034,0.003344075,0.0004081703,0.0009738272,0.01861165],"category_scores_gemma":[0.0004376772,0.0001563713,0.0003398186,0.0005407587,0.001698987,0.003528798,0.001886395,0.001571449,0.005444855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046928,"about_ca_system_score_gemma":0.001798185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001270184,"about_ca_topic_score_gemma":0.002972681,"domain_scores_codex":[0.99977,0.00006771777,0.000006199603,0.00002205692,0.000104037,0.00003005445],"domain_scores_gemma":[0.9998817,0.0000551687,0.000008143299,0.00001160203,0.00002192957,0.00002147402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000176227,0.00003368977,0.0001773168,0.0004238547,0.00001307217,0.0001715584,0.003058967,0.0005513437,0.001248273,0.5706719,0.2888643,0.1347682],"study_design_scores_gemma":[0.000003712226,0.0000159825,0.0003636008,0.0002546659,0.000004635926,0.0002496005,0.0006168667,0.0003399474,0.0003074704,0.03931167,0.958525,0.000006783576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003257258,0.06814434,0.01323247,0.00967239,0.004900738,0.00006863597,0.00008344196,0.0004385965,0.9002022],"genre_scores_gemma":[0.05883909,0.04987019,0.009459699,0.004842149,0.001560646,0.0001338311,0.0001475767,0.0001828455,0.8749639],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01861165,"threshold_uncertainty_score":0.06226212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008582334555194289,"score_gpt":0.255056698800073,"score_spread":0.2464743642448788,"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."}}