{"id":"W4394514696","doi":"10.6084/m9.figshare.6210125.v1","title":"Raw Data of VR Acceptance","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raw data; Computer science; Computer graphics (images); Programming language","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":[0.001614743,0.001461942,0.001117607,0.003590224,0.0005922852,0.002002491,0.00155977,0.00117647,0.1419537],"category_scores_gemma":[0.01903824,0.000404511,0.001156667,0.004933802,0.0002701975,0.001164433,0.001531524,0.00152903,0.08136303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008694064,"about_ca_system_score_gemma":0.00142689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00969791,"about_ca_topic_score_gemma":0.01323039,"domain_scores_codex":[0.9984972,0.0001998064,0.0003005895,0.0003814859,0.0004437331,0.0001771539],"domain_scores_gemma":[0.9889423,0.00448056,0.001096882,0.001811337,0.003246994,0.0004219629],"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":[0.0002907482,0.0000803014,0.008180183,0.001300393,0.00009077126,0.00003403656,0.00007416077,0.0004375604,0.0001846681,0.0004978005,0.9773487,0.01148055],"study_design_scores_gemma":[0.0004682847,0.000116657,0.05968872,0.0007828961,0.0001083296,0.0001523989,0.0003154243,0.0007731061,0.0007091657,0.001342895,0.9354666,0.00007550682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003646965,0.0000238193,0.00005928305,0.00002821373,0.00001572135,0.00002037072,0.9988626,0.0001743368,0.0004509933],"genre_scores_gemma":[0.001954716,0.00004380697,0.0003184614,0.00003831004,0.00001448861,0.0003288438,0.9961712,0.0001194161,0.001010771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1419537,"threshold_uncertainty_score":0.4748824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627903231730414,"score_gpt":0.3642074172880927,"score_spread":0.2014170941150513,"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."}}