{"id":"W2398111654","doi":"10.5281/zenodo.1178444","title":"A Quantitative Comparison Of Position Trackers For The Development Of A Touch-Less Musical Interface","year":2012,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"BitTorrent tracker; Position (finance); Computer science; Tracking (education); Computer vision; Artificial intelligence; Interface (matter); Computer graphics (images); Eye tracking","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":[0.0004814591,0.00006881718,0.0001336041,0.00008661411,0.0009056549,0.00005948325,0.0008299013,0.00003823336,0.000097638],"category_scores_gemma":[0.000271092,0.00005453153,0.00003462358,0.0002795536,0.0002009235,0.0001752574,0.0006741774,0.0001082701,0.00007967104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004072972,"about_ca_system_score_gemma":0.000004009989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002394061,"about_ca_topic_score_gemma":8.129713e-7,"domain_scores_codex":[0.9991493,0.0001001744,0.0002436746,0.000146669,0.000172693,0.0001874462],"domain_scores_gemma":[0.9991753,0.000105716,0.0001309235,0.0002428579,0.0003097082,0.00003554589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002181983,0.0008020273,0.00006550195,0.0001761672,0.0002792353,3.934817e-7,0.1740247,0.00007234027,0.01502918,0.3975175,0.03990226,0.3719125],"study_design_scores_gemma":[0.001410734,0.00134197,0.009083943,0.0001356228,0.0000600916,0.00003140375,0.02881194,0.01634979,0.05269985,0.001610231,0.8880285,0.0004359433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1813906,0.0001478027,0.8146189,0.0006336352,0.00009972896,0.0003067851,0.00001753938,0.000151087,0.002633845],"genre_scores_gemma":[0.9835703,0.000004473357,0.01626368,0.00001947002,0.00001453076,1.247687e-7,0.00002005588,0.00007379224,0.00003359202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8481262,"threshold_uncertainty_score":0.6965657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09698607384754472,"score_gpt":0.3205473815790548,"score_spread":0.2235613077315101,"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."}}