{"id":"W2113795524","doi":"10.5539/cis.v3n3p210","title":"Application of VRML in Distance Vocational Education","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"VRML; Computer science; Animation; Key (lock); Object (grammar); Computer graphics (images); Multimedia; Code (set theory); Human–computer interaction; Virtual reality; Artificial intelligence","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":[0.0007942262,0.0003137585,0.0001795802,0.001010628,0.00040659,0.001584123,0.0007961584,0.0009191529,0.005792234],"category_scores_gemma":[0.002849545,0.0002156967,0.0003348052,0.001135,0.0006613355,0.001085932,0.001139403,0.0007541091,0.001803404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005698777,"about_ca_system_score_gemma":0.0005110584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002537403,"about_ca_topic_score_gemma":0.001558024,"domain_scores_codex":[0.998908,0.0004648834,0.000052071,0.00008310002,0.0004367003,0.00005533079],"domain_scores_gemma":[0.9991565,0.0004028703,0.00003287937,0.0001592236,0.0001998209,0.0000486533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008679607,0.00006742508,0.0009972256,0.0005340184,0.00001980423,0.0005493628,0.001346218,0.01553551,0.0266277,0.1288775,0.01521809,0.8101404],"study_design_scores_gemma":[0.00005443791,0.0002547098,0.002527288,0.0003896776,0.00004704792,0.001901089,0.0004876211,0.06660563,0.0389,0.04656713,0.8421634,0.0001019677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01345508,0.004741212,0.8841295,0.001634963,0.0004752939,0.0001283313,0.0001969846,0.004362909,0.09087575],"genre_scores_gemma":[0.4035366,0.007692934,0.5547175,0.000699627,0.0003952769,0.0001531672,0.0005742527,0.0006325334,0.03159815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005792234,"threshold_uncertainty_score":0.01937693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004584986821744329,"score_gpt":0.2407868081498414,"score_spread":0.2362018213280971,"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."}}