{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009802483,0.0005747355,0.0004633315,0.000759321,0.0003545423,0.0005655468,0.001024098,0.0008159734,0.002423786],"category_scores_gemma":[0.00242739,0.0004764484,0.0002163249,0.0006560379,0.0004461669,0.000684157,0.0005873941,0.0004243936,0.0004179346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004021906,"about_ca_system_score_gemma":0.0005618302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081809,"about_ca_topic_score_gemma":0.002006598,"domain_scores_codex":[0.9983784,0.0001361473,0.00009853306,0.0002781218,0.0009678676,0.0001409743],"domain_scores_gemma":[0.9984809,0.0003645385,0.0001606046,0.0001665091,0.0006783053,0.0001492157],"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":[0.001076574,0.0004366988,0.00635497,0.0004150888,0.00003073301,0.0002959112,0.0003836291,0.002479552,0.9487124,0.001090767,0.0008533937,0.03787033],"study_design_scores_gemma":[0.0001042869,0.002430266,0.04073909,0.00007587028,0.00006414107,0.0007399725,0.0004137507,0.02256331,0.9246875,0.0003672899,0.007727128,0.00008738232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8680952,0.0009677777,0.1213375,0.0002772991,0.0002920658,0.0007977248,0.001677383,0.0005631915,0.005991907],"genre_scores_gemma":[0.9050975,0.0005656627,0.08780293,0.0002177042,0.00002472396,0.0006526478,0.0006150029,0.0001128549,0.004910927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002423786,"threshold_uncertainty_score":0.008108377,"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."}}