{"id":"W4408345218","doi":"10.22329/jtl.v19i1.8943","title":"Student's Readiness in Using Virtual Reality for Physics Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Teaching and Learning","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Mathematics education; Human–computer interaction; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007583228,0.0001724061,0.000238386,0.0006660454,0.0002857396,0.001141383,0.0002216006,0.00037988,0.004399409],"category_scores_gemma":[0.003905919,0.0001412325,0.000378495,0.0003945548,0.0002231768,0.000424533,0.0004997887,0.0005435876,0.001059661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358115,"about_ca_system_score_gemma":0.0005272886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008312327,"about_ca_topic_score_gemma":0.001066758,"domain_scores_codex":[0.9995528,0.00008208956,0.00005337224,0.00004024417,0.000136081,0.0001353654],"domain_scores_gemma":[0.9977665,0.0005649532,0.0005854888,0.00007933597,0.0004554378,0.0005483002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008110223,0.0004701114,0.9701374,0.00006903645,0.00003377022,0.0002053025,0.002474462,0.0002573344,0.003005099,0.00009776248,0.0002640141,0.02290468],"study_design_scores_gemma":[0.000004429829,0.0007182417,0.9900712,0.00003199197,0.00002475529,0.0004225876,0.005131343,0.0006308437,0.001561944,0.0001140812,0.001267079,0.00002158306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987746,0.00003240045,0.0001117952,0.00004256624,0.000002486842,0.0000119078,0.00004562834,0.000007166918,0.0009714195],"genre_scores_gemma":[0.9993169,0.00004505609,0.0001257154,0.00001099594,0.000001014253,0.000008479347,0.00006865747,0.000001591153,0.0004214933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004399409,"threshold_uncertainty_score":0.01471752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04607679831444398,"score_gpt":0.4390135998398887,"score_spread":0.3929368015254447,"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."}}