{"id":"W4307520831","doi":"10.2196/40410","title":"The Best Predictor of the Future—the Metaverse, Mental Health, and Lessons Learned From Current Technologies","year":2022,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Metaverse; Avatar; Social worlds; Context (archaeology); Social media; Computer science; CLARITY; Virtual reality; Data science; Sociology; Human–computer interaction; World Wide Web; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01115944,0.0007993025,0.0007949398,0.002678867,0.004459742,0.0126497,0.001996681,0.005016602,0.006143219],"category_scores_gemma":[0.01484021,0.0003993023,0.0007107374,0.001523572,0.03025133,0.03441181,0.008084831,0.01048843,0.001068134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004506463,"about_ca_system_score_gemma":0.005145431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004002481,"about_ca_topic_score_gemma":0.005041442,"domain_scores_codex":[0.9949004,0.003629401,0.00013461,0.0004389827,0.0005528601,0.0003438644],"domain_scores_gemma":[0.9841732,0.01160415,0.0005384328,0.0007906058,0.00114185,0.001751807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001090065,0.000151875,0.005277837,0.001225386,0.00005093878,0.000518541,0.03891551,0.0003925686,0.0003102554,0.7011316,0.02779019,0.2241264],"study_design_scores_gemma":[0.00003138833,0.000213853,0.003750348,0.006387401,0.00006891535,0.001401546,0.0886097,0.001061853,0.0007529091,0.6413518,0.2562504,0.0001198847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02729892,0.1312071,0.02349198,0.727959,0.004113464,0.00006733553,0.0001248045,0.000174051,0.08556327],"genre_scores_gemma":[0.6989297,0.1974436,0.02613857,0.06056709,0.004078486,0.0002802718,0.0001595951,0.000174255,0.01222836],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0126497,"threshold_uncertainty_score":0.05901742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06433617672726331,"score_gpt":0.4215378738912195,"score_spread":0.3572016971639562,"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."}}