{"id":"W2945389344","doi":"10.1386/eme.18.1-2.43_1","title":"Reading the grand palimpsest of mixed reality","year":2019,"lang":"en","type":"article","venue":"Explorations in Media Ecology","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Palimpsest; Reading (process); Social reality; Argument (complex analysis); Mixed reality; Order (exchange); Aesthetics; Reality television; Consumption (sociology); Sociology; Art; Media studies; Literature; Philosophy; Computer science; Augmented reality; Social science; Linguistics; Human–computer interaction; Chemistry; Economics","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":[0.002030522,0.00004674121,0.0001235324,0.00009117133,0.0002350405,0.00001381492,0.0003266167,0.00008571149,0.0002737917],"category_scores_gemma":[0.001862036,0.0000392651,0.00002336005,0.0003994087,0.0002791013,0.0001823156,0.00002715027,0.0001244226,0.00008333584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000757856,"about_ca_system_score_gemma":0.0003219246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009844254,"about_ca_topic_score_gemma":0.06773571,"domain_scores_codex":[0.9985263,0.000800978,0.0002634237,0.0001071958,0.0001416815,0.0001604618],"domain_scores_gemma":[0.997658,0.001698085,0.0001229299,0.0003721846,0.0001100589,0.00003869824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001350081,0.000190338,0.3393318,0.00001436822,0.00001231196,2.852093e-7,0.4583575,0.00009586262,0.0001642027,0.1885561,0.009874214,0.003389513],"study_design_scores_gemma":[0.0007198319,0.00007473961,0.6060745,0.0000366815,0.00002680921,8.478586e-7,0.2276807,0.000171961,0.0003188252,0.09479938,0.06987374,0.0002220295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638162,0.00006741755,0.00010917,0.01670773,0.002448087,0.0003976375,0.000003579159,0.00002169403,0.01642849],"genre_scores_gemma":[0.9981648,0.0007994089,0.000378846,0.00009558268,0.0001736575,0.0001036173,0.00004629171,0.00000403745,0.0002337035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2667427,"threshold_uncertainty_score":0.9492757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07343304247697718,"score_gpt":0.3596326522133551,"score_spread":0.2861996097363779,"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."}}