{"id":"W2796431678","doi":"10.29007/nvd7","title":"A Longitudinal Pilot Study of Presence in Immersive VR","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Fidelity; Affect (linguistics); Longitudinal study; Significant difference; High fidelity; Human–computer interaction; Virtual reality; Computer science; Psychology; Medicine; Engineering; Communication","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005618878,0.0002931647,0.0004905071,0.0002811131,0.00006910439,0.00009041878,0.002187478,0.00009949647,0.0002284926],"category_scores_gemma":[0.00009670795,0.0002830801,0.00006661609,0.00065792,0.0001110547,0.0002444711,0.001449033,0.0003786356,0.002238608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174405,"about_ca_system_score_gemma":0.0002721309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587799,"about_ca_topic_score_gemma":0.0005269365,"domain_scores_codex":[0.997281,0.0001917193,0.0006042698,0.001045423,0.000502247,0.0003754046],"domain_scores_gemma":[0.9968727,0.0001237624,0.0004231901,0.002205608,0.0002274677,0.0001472557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001630603,0.08970067,0.01558114,0.002198117,0.001842047,0.0001902198,0.2085138,0.2250007,0.008390139,0.05425242,0.2984305,0.09426965],"study_design_scores_gemma":[0.01401892,0.07856538,0.6522684,0.006301409,0.00008576968,0.0001814046,0.01111461,0.08780596,0.01492461,0.01542555,0.1112835,0.008024504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08908699,0.0002234123,0.8442929,0.0002839338,0.001302858,0.002910235,0.00003263244,0.00004527652,0.06182177],"genre_scores_gemma":[0.9935611,0.00005350974,0.0008643193,0.00003384307,0.0001081793,0.0002257485,0.000008037098,0.00001539596,0.00512988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9044741,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07012509673555203,"score_gpt":0.3361562234784695,"score_spread":0.2660311267429175,"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."}}