{"id":"W2065318656","doi":"10.1145/1280720.1280726","title":"Robot gaming and learning using augmented reality","year":2007,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Augmented reality; Computer science; Human–computer interaction; Robot; Computer-mediated reality; Artificial intelligence; Multimedia; Mixed reality","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009201646,0.00007755557,0.00008247978,0.00007057219,0.00028609,0.00007528572,0.0002301258,0.00004097363,0.00000838406],"category_scores_gemma":[0.00003931243,0.00007500576,0.00001935426,0.0003261392,0.00004314109,0.0002468308,0.0002385745,0.0001592763,0.000007939508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000608946,"about_ca_system_score_gemma":0.00001982422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000505345,"about_ca_topic_score_gemma":0.00006557214,"domain_scores_codex":[0.9990991,0.00004884549,0.0001880438,0.0002753304,0.0001565113,0.0002321796],"domain_scores_gemma":[0.9993882,0.0001174721,0.00006965873,0.0002855695,0.00004231522,0.00009681532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001296085,0.0002271869,0.009188648,0.00005495272,0.00008263755,0.00002951768,0.002682277,0.01526561,0.1415033,0.4299978,0.0003788834,0.4005762],"study_design_scores_gemma":[0.0003910788,0.00003686497,0.04314118,0.00002582592,0.00001308818,0.0000715764,0.000412928,0.9355466,0.01273783,0.002072558,0.00523917,0.0003112862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03043575,0.00002670043,0.9626849,0.0005621745,0.00003344939,0.0001006543,2.041592e-7,0.0002322778,0.00592385],"genre_scores_gemma":[0.8712053,0.000005326001,0.1281901,0.0001704514,0.00002469865,0.000001995908,0.000001809702,0.000005169982,0.0003952045],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.920281,"threshold_uncertainty_score":0.3058646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04409971870188853,"score_gpt":0.3169939727951797,"score_spread":0.2728942540932912,"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."}}