{"id":"W3183596842","doi":"10.1007/978-3-030-78642-7_50","title":"VR-DesignSpace: A Creativity Support Environment Integrating Virtual Reality Technology into Collaborative Data-Informed Evaluation of Design Alternatives","year":2021,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Virtual reality; Creativity; Process (computing); Human–computer interaction; Engineering design process; Context (archaeology); Knowledge management; Systems engineering; 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":[0.001974595,0.001066216,0.0005676107,0.001273618,0.0005581555,0.00426631,0.001705265,0.001056708,0.03408998],"category_scores_gemma":[0.003852255,0.0005546932,0.000641594,0.0009355735,0.0008463205,0.002334234,0.001810524,0.001253248,0.003931721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006947976,"about_ca_system_score_gemma":0.001165079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008227611,"about_ca_topic_score_gemma":0.002182072,"domain_scores_codex":[0.9986344,0.0005815066,0.00005615073,0.00010617,0.0005802878,0.00004144412],"domain_scores_gemma":[0.9972796,0.002233192,0.00006945818,0.0001722474,0.0001598872,0.00008570562],"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":[0.0002687435,0.0004279214,0.000541269,0.0007407179,0.00007723375,0.0002923538,0.003065,0.02205779,0.02027222,0.1786201,0.09395082,0.6796857],"study_design_scores_gemma":[0.0003047944,0.0004070672,0.001303724,0.0005551872,0.00006368283,0.0007649038,0.002096983,0.1091654,0.02648874,0.234578,0.6240562,0.000215292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01726161,0.001520369,0.7656445,0.0008621562,0.0004048409,0.0004794989,0.001561112,0.01032019,0.2019457],"genre_scores_gemma":[0.06659824,0.001131303,0.8641829,0.0002094105,0.00007234047,0.0006979579,0.001848839,0.00221297,0.06304599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03408998,"threshold_uncertainty_score":0.1140423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1578669461930966,"score_gpt":0.3927802147838161,"score_spread":0.2349132685907195,"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."}}