{"id":"W3102215269","doi":"10.22215/etd/2020-14279","title":"Visual Thinking in Virtual Environments: Evaluating Multidisciplinary Interaction through Drawing Ideation in Real-Time Remote Co-Design","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Ideation; Variety (cybernetics); Perception; Multidisciplinary approach; Human–computer interaction; Scale (ratio); Computer science; Augmented reality; Multimedia; Virtual reality; Psychology; Artificial intelligence","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":[0.01225546,0.00079196,0.0004934011,0.00243671,0.001011098,0.005426184,0.001260108,0.00105939,0.004998038],"category_scores_gemma":[0.04101283,0.0004118074,0.001031847,0.001131249,0.002470088,0.003322823,0.003598655,0.001300762,0.0006646516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632638,"about_ca_system_score_gemma":0.0009827676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000464885,"about_ca_topic_score_gemma":0.0006027237,"domain_scores_codex":[0.9889672,0.007736366,0.0004768003,0.0006017442,0.00172738,0.000490489],"domain_scores_gemma":[0.958674,0.0318616,0.003262804,0.001956662,0.00278277,0.001462237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.003210859,0.005893197,0.0667773,0.003079363,0.0003129095,0.0008494568,0.4691364,0.008975185,0.04849976,0.01233063,0.00150599,0.379429],"study_design_scores_gemma":[0.00114285,0.0223332,0.2831472,0.001572233,0.0009284804,0.002128721,0.5464104,0.0328749,0.04736546,0.02112097,0.04019519,0.0007803582],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722273,0.0001186483,0.01487301,0.00007695836,0.00002212798,0.0005325485,0.00002515697,0.00006561939,0.01205854],"genre_scores_gemma":[0.9773982,0.0001387547,0.01891319,0.00004932791,0.00000923043,0.0006369419,0.00005228712,0.00004016968,0.00276182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01225546,"threshold_uncertainty_score":0.06481385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06016851815568389,"score_gpt":0.394172361766744,"score_spread":0.3340038436110601,"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."}}