{"id":"W2105242528","doi":"10.29173/eureka10295","title":"IR Motion Tracking as a Standard Input Device","year":2011,"lang":"en","type":"article","venue":"Eureka","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Robustness (evolution); Computer science; Interface (matter); Tracking (education); Simulation; Distributed computing; Operating system; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002092478,0.0007528092,0.0007464446,0.0007179398,0.0004216991,0.001656787,0.001501222,0.001224738,0.006821583],"category_scores_gemma":[0.004418645,0.0003709695,0.0005598195,0.0008900804,0.0005084298,0.002204492,0.001504968,0.000831716,0.003105149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004519204,"about_ca_system_score_gemma":0.0004093261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083995,"about_ca_topic_score_gemma":0.0008460057,"domain_scores_codex":[0.9971876,0.0007132401,0.0001549381,0.000741641,0.001054336,0.000148382],"domain_scores_gemma":[0.9985836,0.0003403984,0.0001210207,0.0004021625,0.0004863303,0.00006657153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002256903,0.0002930886,0.003904346,0.001262134,0.0001500956,0.0005412133,0.0007619745,0.02053367,0.408061,0.0213374,0.008970439,0.5319278],"study_design_scores_gemma":[0.0004027826,0.005575293,0.02028562,0.0006083866,0.0006112357,0.003410004,0.0005398861,0.4069395,0.4383807,0.00963253,0.1132044,0.0004095854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04237134,0.001010609,0.9298192,0.0002821299,0.0004814515,0.0002203579,0.0002375427,0.004931507,0.02064583],"genre_scores_gemma":[0.4978453,0.001555627,0.4736407,0.0007803778,0.0002347071,0.000367749,0.000783273,0.0005350483,0.02425717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006821583,"threshold_uncertainty_score":0.02282041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542152134386004,"score_gpt":0.2242825083033173,"score_spread":0.1988609869594573,"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."}}