{"id":"W1505026495","doi":"10.26503/dl.v2005i1.113","title":"socio-ec(h)o: Ambient Intelligence and Gameplay","year":2005,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Embodied cognition; Computer science; Human–computer interaction; Ambient intelligence; Embodied agent; ENCODE; Participatory design; Cognition; Game design; Artificial intelligence; Psychology; 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":[0.00145672,0.00049831,0.0002836261,0.000542432,0.0008350911,0.003269338,0.0007337334,0.0008076714,0.005467527],"category_scores_gemma":[0.003689044,0.0002288931,0.0004112702,0.0003726995,0.00271006,0.002756149,0.002327582,0.001038715,0.0006695891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000775165,"about_ca_system_score_gemma":0.0006238579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692621,"about_ca_topic_score_gemma":0.001519718,"domain_scores_codex":[0.9990048,0.0004706408,0.00004363978,0.0001466055,0.0002455242,0.00008882738],"domain_scores_gemma":[0.9983605,0.0009584483,0.00006917418,0.0002191356,0.0001980688,0.0001948058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003628386,0.0002891937,0.003729293,0.000421857,0.00004006147,0.0002636902,0.009816031,0.005976079,0.01633367,0.6796903,0.00908659,0.2739905],"study_design_scores_gemma":[0.0001464799,0.0008441699,0.009584822,0.0003666122,0.00006943664,0.0009922138,0.004181111,0.1106035,0.0192126,0.2698368,0.5840048,0.0001575141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1173867,0.002845913,0.6207341,0.002315538,0.0005287926,0.0005552861,0.0001627099,0.002386985,0.2530839],"genre_scores_gemma":[0.7849009,0.001053521,0.181878,0.0006653141,0.0001444298,0.0005197314,0.0001833441,0.000240227,0.03041452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005467527,"threshold_uncertainty_score":0.0182907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382911312285348,"score_gpt":0.285230592036481,"score_spread":0.2614014789136276,"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."}}