{"id":"W1982531889","doi":"10.1504/ijart.2013.058285","title":"Balancing justice: comparing whole body and controller-based interaction for an abstract domain","year":2013,"lang":"en","type":"article","venue":"International Journal of Arts and Technology","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Metaphor; Embodied cognition; Computer science; Schema (genetic algorithms); Social relation; Human–computer interaction; Social control; Controller (irrigation); Control (management); Social psychology; Psychology; Control theory (sociology); Artificial intelligence; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002535401,0.0001059385,0.0001931425,0.0007511662,0.0001028854,0.0001954449,0.000415776,0.0001116342,0.000009245776],"category_scores_gemma":[0.0001181469,0.00009315065,0.000029888,0.00009745305,0.0001122319,0.001096227,0.00008301563,0.0003073748,0.000004125205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006658698,"about_ca_system_score_gemma":0.0000285527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001016845,"about_ca_topic_score_gemma":0.00001022608,"domain_scores_codex":[0.9991315,0.00001233044,0.0003927964,0.0001771414,0.0001453032,0.0001409302],"domain_scores_gemma":[0.9984224,0.0001149539,0.0004606548,0.0001054563,0.0008606274,0.00003584407],"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":[0.0002353137,0.0004222138,0.007021592,0.00003895261,0.0003902285,0.0000686135,0.0004749211,0.0002810539,0.3808921,0.4457831,0.002509596,0.1618823],"study_design_scores_gemma":[0.01262679,0.004037712,0.03581696,0.0006268595,0.0001101955,0.004285702,0.003416965,0.4565342,0.07264636,0.3614362,0.04756876,0.0008932703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7765723,0.00005070471,0.2120035,0.01011999,0.0008493427,0.0001367134,0.00000142949,0.00006108662,0.000204922],"genre_scores_gemma":[0.9806238,0.000005831424,0.0189544,0.0002592462,0.0001227197,0.00001453043,0.000001782831,0.000006382863,0.00001131961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4562531,"threshold_uncertainty_score":0.3798573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269141638369741,"score_gpt":0.3127826375384097,"score_spread":0.2900912211547123,"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."}}