{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000318426,0.0001196833,0.0001425827,0.0001526984,0.0001330532,0.0001276351,0.0003620583,0.00003475868,0.00005950551],"category_scores_gemma":[0.00004044338,0.0000754967,0.00002423921,0.0003605773,0.00004543847,0.0006341591,0.0002984399,0.00005510324,0.0001906705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003935659,"about_ca_system_score_gemma":0.00006166056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000263349,"about_ca_topic_score_gemma":0.00003163853,"domain_scores_codex":[0.9988832,0.000009680526,0.0002149641,0.0003217254,0.0001924084,0.0003780091],"domain_scores_gemma":[0.9989758,0.0001506405,0.00004453852,0.0004274981,0.00003516054,0.0003663908],"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":[0.00001918175,0.0001072534,0.01134272,0.000006223091,0.00002342019,0.00001593411,0.003374489,0.0001508636,0.009771941,0.5141748,0.01581025,0.4452029],"study_design_scores_gemma":[0.007474058,0.01001383,0.188708,0.0006666585,0.00006467962,0.0002281273,0.002917258,0.02320437,0.119077,0.04631938,0.5971264,0.004200301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5955819,0.00002503155,0.3967619,0.0004831335,0.000102406,0.0002328317,0.000004679124,0.0001984863,0.006609564],"genre_scores_gemma":[0.9919512,0.000003956074,0.003634317,0.001094627,0.00002740635,0.00008459238,9.229672e-7,0.000008206349,0.003194764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5813161,"threshold_uncertainty_score":0.3078666,"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."}}