{"id":"W6989417722","doi":"","title":"7 AR Tech Trends For 2023","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Augmented reality; High tech; Power (physics); Big data; Visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001135855,0.000248079,0.0003738421,0.0002842277,0.0001855288,0.00008642131,0.0007051033,0.0006888927,0.3813398],"category_scores_gemma":[0.0008380152,0.00026392,0.0002270456,0.00003844593,0.0003533573,2.069065e-7,0.000104843,0.0002827271,0.01473899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311665,"about_ca_system_score_gemma":0.00009474963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03349051,"about_ca_topic_score_gemma":0.04116501,"domain_scores_codex":[0.9977382,0.0001038461,0.0005262313,0.0002294054,0.0008698934,0.0005324542],"domain_scores_gemma":[0.9983812,0.0004344675,0.0004093515,0.00037666,0.000245711,0.0001526249],"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":[0.00002789295,0.00002128341,8.378212e-7,0.0001807761,0.00003836408,0.000007496101,0.0002071033,0.000008520526,1.112146e-7,0.0003821227,0.9845991,0.01452639],"study_design_scores_gemma":[0.0002279847,0.00007340252,0.000002038361,0.0001865795,0.00002315738,0.00000297,0.0004283989,0.000005288547,0.000004221052,0.00008327016,0.9986932,0.0002694706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000115734,0.0001069864,0.000001534247,0.001188364,0.0004311619,0.0007646694,0.0003349054,0.001141949,0.9960293],"genre_scores_gemma":[0.00004810673,0.0005322974,0.001634808,0.00007088107,0.0004185801,0.0001649842,0.00008552218,0.000280416,0.9967644],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3666008,"threshold_uncertainty_score":0.9999813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117570516696637,"score_gpt":0.311597719275349,"score_spread":0.2804220141083826,"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."}}