{"id":"W4281623044","doi":"10.1145/3531073.3531181","title":"Watch The Videos Whenever You Have Time","year":2022,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Fidelity; Virtual reality; Process (computing); Human–computer interaction; Iterative and incremental development; Iterative design; Multimedia; High fidelity; Software 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002968752,0.00005309288,0.00005142465,0.0000153732,0.0003671277,0.000106989,0.0009566627,0.00001004733,0.0008324726],"category_scores_gemma":[0.00001364107,0.00003373263,0.00003492911,0.0002121941,0.00002028276,0.0001797353,0.0006184033,0.000096679,0.0004056997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003791754,"about_ca_system_score_gemma":0.00004306818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001884535,"about_ca_topic_score_gemma":0.000006522685,"domain_scores_codex":[0.9992886,0.00005324678,0.00009224364,0.0001690997,0.0002446761,0.0001521715],"domain_scores_gemma":[0.9992057,0.00005701746,0.00002655596,0.0006389101,0.00002152425,0.00005030892],"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":[0.000003419131,0.0001398315,0.00009026274,0.00000155112,0.00001993548,0.00000303354,0.00221319,0.0005621156,0.002871754,0.6018748,0.3061403,0.08607974],"study_design_scores_gemma":[0.00009810402,0.0000603974,0.001385085,5.069671e-7,0.000002433759,0.00001743783,0.0000878528,0.07533883,0.0009184792,0.01071674,0.9112743,0.00009980029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01821366,0.00004461533,0.6727759,0.1663013,0.0001548691,0.0005143741,0.0000154559,0.0003503532,0.1416295],"genre_scores_gemma":[0.8809903,0.000004633337,0.004746857,0.008578124,0.00004673562,0.0001174808,0.000004983498,0.000007228159,0.1055037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8627766,"threshold_uncertainty_score":0.9114992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144411793559978,"score_gpt":0.2338933472548363,"score_spread":0.2194521678988385,"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."}}