{"id":"W4395027451","doi":"10.1109/comst.2024.3392642","title":"The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Concordia University; Polytechnique Montréal","funders":"","keywords":"Pipeline (software); Ecosystem; Environmental resource management; Computer science; Environmental science; Data science; Ecology; Biology","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","sts"],"consensus_categories":[],"category_scores_codex":[0.03337285,0.0001995317,0.0003524622,0.0002649313,0.003340016,0.0007750129,0.001597357,0.0001492336,0.0002329359],"category_scores_gemma":[0.001850164,0.0001526235,0.0003183294,0.002978304,0.0003873403,0.0002869238,0.0001701476,0.0003609491,0.0003125122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002395405,"about_ca_system_score_gemma":0.0005131554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01167999,"about_ca_topic_score_gemma":0.3459639,"domain_scores_codex":[0.9838197,0.01417711,0.0006956735,0.0003458018,0.0006125888,0.0003490828],"domain_scores_gemma":[0.9826034,0.01480707,0.0001846766,0.001563458,0.0006983851,0.0001430408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002391384,0.0005527092,0.001505136,0.00002795019,0.001361701,0.000001842497,0.0134241,0.0004792005,0.0004629304,0.258271,0.1372499,0.5866396],"study_design_scores_gemma":[0.00009095101,0.000004456494,0.005251839,0.00001663327,0.0001077144,0.000001460884,0.0004730837,0.0006648409,0.000007179043,0.001164197,0.9920327,0.0001849248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01701276,0.1088423,0.3950018,0.115435,0.1698737,0.002797478,0.006221852,0.004565915,0.1802493],"genre_scores_gemma":[0.8925195,0.01413056,0.009583615,0.00007898769,0.009852289,0.000253264,0.0009571193,0.00007492468,0.07254977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8755067,"threshold_uncertainty_score":0.9979575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1336653216643221,"score_gpt":0.4212711845858061,"score_spread":0.287605862921484,"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."}}