{"id":"W4250899369","doi":"10.4101/jvwr.v10i1.7277","title":"Editorial","year":2017,"lang":"en","type":"editorial","venue":"Journal of Virtual Worlds Research","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scope (computer science); Metaverse; Field (mathematics); Computer science; Sociology; Data science; Engineering ethics; World Wide Web; Library science; Virtual reality; Engineering; Human–computer interaction","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":["metaresearch","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01627049,0.0002211635,0.0006962119,0.0007485741,0.0006694274,0.001654213,0.002954284,0.001259496,0.0003075832],"category_scores_gemma":[0.04860277,0.0001846098,0.000417491,0.000360134,0.001470355,0.0008023177,0.0003554263,0.005402984,0.0002574247],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006496497,"about_ca_system_score_gemma":0.01090258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002668386,"about_ca_topic_score_gemma":0.001076975,"domain_scores_codex":[0.985918,0.0008323816,0.0006969689,0.0002787415,0.01129197,0.0009819658],"domain_scores_gemma":[0.9876711,0.004290982,0.0008495535,0.0004888361,0.005888622,0.0008108473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002239642,0.00009478167,0.000002200184,0.00001470044,0.00006688555,0.00008491368,0.001902753,4.30666e-7,0.000005315059,0.0005353452,0.9187552,0.07831348],"study_design_scores_gemma":[0.000558799,0.0007425509,0.000001751843,0.0003955445,0.00002219467,7.94036e-7,0.001210569,1.55014e-7,0.000003588976,0.0006717421,0.9962122,0.0001800679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001586692,0.000398553,0.000001974222,0.000608694,0.7308233,0.0001269741,0.00003716081,0.000008930413,0.2679785],"genre_scores_gemma":[0.0001315338,0.002627215,0.00001790373,0.000004076918,0.7003172,0.000003534209,0.000007642233,0.00003201524,0.2968589],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07813342,"threshold_uncertainty_score":0.9993821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05981625118274012,"score_gpt":0.4570701041482422,"score_spread":0.3972538529655021,"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."}}