{"id":"W2318674861","doi":"10.1177/1206331213512235","title":"Virtual Space","year":2014,"lang":"en","type":"article","venue":"Space and Culture","topic":"Persona Design and Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Space (punctuation); Virtual space; Architecture; Sociology; Assistive technology; Psychology; Human–computer interaction; Computer science; Visual arts; Artificial intelligence","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":[0.0000490213,0.00005819693,0.00005158271,0.00001034961,0.00009900035,0.0000814556,0.000181266,0.00003886242,0.000005744966],"category_scores_gemma":[0.000005534617,0.00004325005,0.0000174511,0.00007910033,0.00002251193,0.0001177381,0.00004730144,0.00005920589,0.0001128925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004865408,"about_ca_system_score_gemma":0.000008677492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007693639,"about_ca_topic_score_gemma":0.000006632009,"domain_scores_codex":[0.9996192,0.00001381252,0.00003008172,0.0001644083,0.00007304912,0.00009938499],"domain_scores_gemma":[0.9997135,0.000009107509,0.00001513056,0.0001857561,0.00001219492,0.00006424545],"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":[4.648902e-7,0.000006941929,0.00005128279,0.000001278754,0.000002258025,4.068549e-7,0.001347439,0.000002870602,0.006212828,0.9169137,0.06868599,0.006774579],"study_design_scores_gemma":[0.0001652712,0.00006524362,0.000474329,0.000006670187,0.000003491247,0.00001240028,0.0001932449,0.00700756,0.001929808,0.01146556,0.978536,0.0001404384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006321487,0.0003380833,0.9288313,0.02258803,0.0001109764,0.00009681317,0.000002233028,0.0002061363,0.04150492],"genre_scores_gemma":[0.9570839,0.0000550739,0.01852582,0.0008832692,0.0001689464,0.00001121031,0.000001983531,0.000004073321,0.02326571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9507625,"threshold_uncertainty_score":0.1763686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007018610785944662,"score_gpt":0.2144307515808234,"score_spread":0.2074121407948788,"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."}}