{"id":"W4304633763","doi":"10.1007/978-3-031-18458-1_45","title":"Bridging the Divide Between Design and Reality in Student Design Builds in Increasing Accessibility to Emerging Technologies","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Architecture; Augmented reality; Virtual reality; Engineering; Computer science; Architectural engineering; Multimedia; Human–computer interaction; Visual arts; Art","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":[0.008484031,0.0005906823,0.0005490512,0.001288439,0.002177478,0.0129118,0.001350462,0.002150482,0.0135298],"category_scores_gemma":[0.01607611,0.0005548582,0.0005808378,0.0005893138,0.009323353,0.01835395,0.01350578,0.005323919,0.001829383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492844,"about_ca_system_score_gemma":0.002219794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004290552,"about_ca_topic_score_gemma":0.0009109318,"domain_scores_codex":[0.9916469,0.005385953,0.0002169335,0.0005756384,0.001718422,0.000456082],"domain_scores_gemma":[0.9801063,0.01416487,0.0008444745,0.00191586,0.001391651,0.001576861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008365908,0.0003705712,0.006129859,0.0004727859,0.00003468434,0.0003993604,0.1253015,0.001108868,0.003771672,0.615245,0.01182212,0.2352599],"study_design_scores_gemma":[0.00005002333,0.0005658508,0.005574618,0.001187272,0.00005456232,0.001440897,0.07176466,0.003704796,0.002726103,0.4964637,0.4164037,0.00006379894],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1886165,0.00551648,0.2573171,0.04280194,0.0008024905,0.00009788453,0.00004894527,0.0006096513,0.504189],"genre_scores_gemma":[0.9112462,0.002172069,0.0431099,0.00181076,0.0002151107,0.0001145361,0.00004384168,0.0003219452,0.04096566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0135298,"threshold_uncertainty_score":0.04526174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0466561767704573,"score_gpt":0.3007674915085613,"score_spread":0.254111314738104,"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."}}