{"id":"W6949851231","doi":"10.5281/zenodo.2609076","title":"Exploring the Restorative Properties of Urban and Nature Settings Using Virtual Reality","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Virtual reality; Recreation; Virtual machine; Virtual actor; State (computer science); Sense of presence; Stress (linguistics)","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":[0.001063081,0.0002421336,0.0001982867,0.0005627603,0.0009320484,0.001207163,0.0003626641,0.0003676512,0.001551288],"category_scores_gemma":[0.00225247,0.0001117509,0.0002211895,0.0003363417,0.001946437,0.001132647,0.001222548,0.0003920304,0.00009328443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202058,"about_ca_system_score_gemma":0.0002416778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005335271,"about_ca_topic_score_gemma":0.001762935,"domain_scores_codex":[0.9988815,0.0008136294,0.00002497999,0.00009169756,0.0001124333,0.00007576034],"domain_scores_gemma":[0.9979068,0.001203772,0.0004815955,0.0001990606,0.00007978892,0.0001290611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001170259,0.003960775,0.3424072,0.002127775,0.0003380803,0.001432937,0.2886187,0.003483462,0.03452022,0.01889389,0.001163197,0.3018834],"study_design_scores_gemma":[0.00008198861,0.009056733,0.5591784,0.0005230192,0.0002038529,0.002613917,0.3776327,0.001467242,0.007424056,0.00867926,0.03293668,0.0002020833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945472,0.0003263032,0.001422363,0.0001026285,0.000007280311,0.00001644619,0.0000134071,0.000004529204,0.003559875],"genre_scores_gemma":[0.9987146,0.000170578,0.0008956999,0.00002156237,0.000005270471,0.00001137042,0.000006815666,0.000001170022,0.0001730112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001551288,"threshold_uncertainty_score":0.005622149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274641883011165,"score_gpt":0.2692581892526463,"score_spread":0.1417940009515298,"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."}}