{"id":"W7097507859","doi":"","title":"1Université du Québec en Outaouais (Canada) APPLYING THE TECHNOLOGY ACCEPTANCE MODEL TO VR WITH PEOPLE WHO ARE FAVORABLE TO ITS USE","year":2015,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Field (mathematics); Mental health; Technology acceptance model; Mental model; Empirical research","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":[0.001222746,0.0005954984,0.0006253175,0.001111761,0.0113173,0.003849545,0.00171733,0.001393928,0.0694234],"category_scores_gemma":[0.003119624,0.0003350073,0.0004863717,0.001629394,0.001469912,0.001109995,0.00164485,0.001744055,0.005097148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03945923,"about_ca_system_score_gemma":0.05725619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9835805,"about_ca_topic_score_gemma":0.9937577,"domain_scores_codex":[0.9981839,0.0003043326,0.00004673238,0.0002276048,0.0006606876,0.0005766814],"domain_scores_gemma":[0.9944795,0.0004180863,0.0002199995,0.0001146637,0.002950552,0.00181723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005507965,0.001350887,0.2855343,0.001081492,0.00009892906,0.002248051,0.03044137,0.0008889501,0.002671402,0.02061417,0.2106411,0.4438785],"study_design_scores_gemma":[0.00007796874,0.0002625737,0.5423189,0.001141403,0.00004669306,0.0005722009,0.02722839,0.001016782,0.001516221,0.0009490628,0.4247127,0.000157157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5988896,0.01322298,0.003600343,0.04128208,0.00314245,0.001417897,0.01407293,0.0004964339,0.3238752],"genre_scores_gemma":[0.6801184,0.003243928,0.003763667,0.003806155,0.000112325,0.0003736868,0.002071281,0.0001235621,0.3063871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9835805,"threshold_uncertainty_score":0.2862981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02904396629056868,"score_gpt":0.225207249590355,"score_spread":0.1961632832997863,"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."}}