{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005878463,0.0009454564,0.00123741,0.001639453,0.0004761998,0.0008801767,0.001372988,0.0009254034,0.09485965],"category_scores_gemma":[0.006325316,0.0003558373,0.0009616603,0.003299443,0.00015246,0.0008436952,0.001023672,0.001269555,0.03205048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006354944,"about_ca_system_score_gemma":0.00116521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01887901,"about_ca_topic_score_gemma":0.02295499,"domain_scores_codex":[0.9994924,0.0000763145,0.0001021688,0.0001795,0.00007406234,0.00007557402],"domain_scores_gemma":[0.9985867,0.0004487173,0.0002408932,0.0002675082,0.0003355291,0.0001206514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000363676,0.00007702516,0.02258491,0.001294619,0.0001634436,0.00006353501,0.00008331401,0.000279156,0.00007138625,0.0004883031,0.9652392,0.009291497],"study_design_scores_gemma":[0.001104802,0.0001654053,0.2339637,0.002836876,0.0004465259,0.0006182612,0.0007987728,0.001041132,0.0002879146,0.003111565,0.7555108,0.0001142282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001483193,0.0001625472,0.0001072665,0.00007251475,0.00002427042,0.00004061159,0.9969802,0.00004911758,0.001080143],"genre_scores_gemma":[0.01102192,0.0003677334,0.0003754391,0.0001749104,0.00003008565,0.0007585377,0.9845948,0.00006639989,0.002610061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09485965,"threshold_uncertainty_score":0.3173372,"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."}}