{"id":"W6927591413","doi":"10.34894/t1vakp","title":"VR Learning and Behavior Dataset","year":2023,"lang":"en","type":"dataset","venue":"Research portal (Tilburg University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Plan (archaeology); Experimental data; Data collection; Training set; Virtual reality; Research design","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001986128,0.001201303,0.001060237,0.002658748,0.0005857409,0.001584933,0.00225434,0.002031178,0.09249953],"category_scores_gemma":[0.01524809,0.0005086401,0.00113921,0.003414338,0.0002702683,0.0008764109,0.001528934,0.001883114,0.06395904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231646,"about_ca_system_score_gemma":0.001765127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01641502,"about_ca_topic_score_gemma":0.03099373,"domain_scores_codex":[0.998511,0.0004658132,0.0002519675,0.0002880461,0.0003457026,0.0001374581],"domain_scores_gemma":[0.9911277,0.004776745,0.0005796208,0.001347942,0.001815851,0.0003522046],"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":[0.0002741814,0.0002657548,0.005070245,0.001260106,0.00006153378,0.00004299028,0.0001247598,0.0009479075,0.0001240029,0.0008304158,0.9688234,0.02217474],"study_design_scores_gemma":[0.000552038,0.0001381045,0.02362399,0.0006748344,0.00006765355,0.00008969266,0.0003259972,0.001315984,0.0004165442,0.002542295,0.9701708,0.00008212275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006969991,0.00004608539,0.0003427262,0.00009139156,0.00002716954,0.0001202148,0.9971663,0.0003602175,0.00114894],"genre_scores_gemma":[0.0018711,0.00004831185,0.001265802,0.00007729729,0.00001145773,0.001558824,0.9934196,0.0001085936,0.001638929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09249953,"threshold_uncertainty_score":0.3094417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09788128735083255,"score_gpt":0.385929920020027,"score_spread":0.2880486326691944,"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."}}