{"id":"W2554950146","doi":"10.1145/2992154.2996775","title":"Combining Mobile, Tangible and Virtual World Platforms to Support Participatory Campus Planning","year":2016,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Foundation for Innovation","keywords":"Citizen journalism; Computer science; Participatory planning; Participatory design; Virtual world; Human–computer interaction; Participatory GIS; Multimedia; Knowledge management; World Wide Web; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001823238,0.0006329996,0.0004351462,0.001155705,0.0008388989,0.003068435,0.001196206,0.0009493437,0.006903927],"category_scores_gemma":[0.003991283,0.0004866971,0.0004684629,0.001102517,0.0008198555,0.002845007,0.005392209,0.0006432229,0.001507895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002807838,"about_ca_system_score_gemma":0.0007253975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009100972,"about_ca_topic_score_gemma":0.002019003,"domain_scores_codex":[0.9983936,0.0006412484,0.00007119847,0.000207432,0.0005177528,0.000168782],"domain_scores_gemma":[0.9965221,0.001821449,0.0002489287,0.0007697158,0.0002787933,0.0003591398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006597193,0.0007778773,0.01052077,0.001223534,0.0001806988,0.001678581,0.007464711,0.01796598,0.07823278,0.03364769,0.008774186,0.8388736],"study_design_scores_gemma":[0.000647931,0.007305216,0.03786132,0.001884834,0.0006329295,0.006102278,0.01963025,0.2226166,0.1072065,0.09439478,0.5005188,0.001198611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1096695,0.000559832,0.8562135,0.0008587672,0.0002080274,0.000809282,0.0002384477,0.003160455,0.02828228],"genre_scores_gemma":[0.4773634,0.0005277244,0.512712,0.0001748751,0.00006158331,0.0006279101,0.000211829,0.0001591333,0.008161537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006903927,"threshold_uncertainty_score":0.02309591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05256926423099663,"score_gpt":0.3216614399472212,"score_spread":0.2690921757162246,"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."}}