{"id":"W6960716885","doi":"10.1371/journal.pone.0052602.t001","title":"Demographic, neuropsychiatric and virtual reality characteristics.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anxiety; Virtual reality; Cognition; Depression (economics); Montreal Cognitive Assessment; Cognitive impairment; Mini–Mental State Examination; State (computer science)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004417267,0.000187878,0.0002353179,0.000002575772,0.0002081846,0.00008066792,0.0003048523,0.0001995506,0.03027477],"category_scores_gemma":[0.0002878656,0.00007101963,0.00007062846,0.0002645021,0.00001505005,0.00002717931,0.0003138104,0.0002589694,0.0007667422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000875589,"about_ca_system_score_gemma":0.00000450588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001614762,"about_ca_topic_score_gemma":0.0008583642,"domain_scores_codex":[0.9990319,0.00003805916,0.0001951313,0.0003616639,0.0001733852,0.0001998815],"domain_scores_gemma":[0.9993362,0.0001523765,0.00014997,0.00009954735,0.00008990595,0.0001719896],"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":[0.000002871747,0.00003260102,0.000008500965,0.0000158753,0.000006919674,0.000001985233,4.400321e-7,8.005734e-9,0.00000381622,8.319611e-7,0.980315,0.01961109],"study_design_scores_gemma":[0.00003178622,0.00009688416,0.03326073,0.00006657291,0.00001693131,0.000003447436,0.000004503956,0.000001125059,1.152976e-7,0.0000155924,0.9663233,0.0001790083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003368313,0.0003252554,3.245008e-9,0.0005520181,0.00005293002,0.0001871307,0.9984708,0.00003695237,0.00003802905],"genre_scores_gemma":[0.0004536887,0.000233226,8.521084e-7,0.0003872985,0.0006655945,0.0001083185,0.9981316,8.194939e-7,0.00001863087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03325223,"threshold_uncertainty_score":0.9855176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05132616687225992,"score_gpt":0.2541716829890601,"score_spread":0.2028455161168002,"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."}}