{"id":"W2167992503","doi":"10.1109/rose.2012.6402634","title":"Experimental characterization of two generations of Kinect's depth sensors","year":2012,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer vision; Computer graphics (images); Artificial intelligence; Quantization (signal processing); Reflectivity; Characterization (materials science); Optics","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":[0.00009574976,0.00004934653,0.00007866287,0.00005019131,0.00001489146,0.00001165191,0.0001576663,0.00001753949,0.00007279339],"category_scores_gemma":[0.000008905979,0.00004023141,0.00002704547,0.0001042385,0.00002265962,0.0004831458,0.00004944997,0.00002145894,0.000005526329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009874084,"about_ca_system_score_gemma":0.000007952946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009672081,"about_ca_topic_score_gemma":7.418776e-7,"domain_scores_codex":[0.9995238,0.00002229762,0.0001614334,0.00006905794,0.0001283777,0.00009503945],"domain_scores_gemma":[0.9996774,0.000008216691,0.00005556116,0.0001566904,0.00006774883,0.00003437115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[7.003998e-7,0.00008790693,0.002353928,0.000001780718,0.000002387766,1.790539e-8,0.0001475503,3.68312e-7,0.894681,0.1021226,0.0000154708,0.0005862258],"study_design_scores_gemma":[0.00005748059,0.00007808937,0.007626615,0.00000624534,0.000001649916,6.031248e-7,0.00001009082,0.002106496,0.9899788,0.00005065229,0.00003797662,0.00004524243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.729004,0.000009066075,0.2595129,0.00004232016,0.00008944324,0.00006751869,5.64258e-7,0.0000555728,0.01121861],"genre_scores_gemma":[0.9646822,0.000001523433,0.03519033,0.00003027572,0.00003127522,0.000005779599,0.000002269241,0.000002281253,0.00005404353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2356783,"threshold_uncertainty_score":0.1640589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05580749147722424,"score_gpt":0.3065183124739715,"score_spread":0.2507108209967473,"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."}}