{"id":"W2345070710","doi":"10.5281/zenodo.50641","title":"libfreenect2: Release 0.2","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000174761,0.00009611063,0.00009020777,0.00009327401,0.0004051241,0.0002741348,0.0004302366,0.00004300224,0.02462945],"category_scores_gemma":[0.0001384517,0.00007633591,0.00002708832,0.000161167,0.00005118897,0.000224224,0.0002279196,0.00006030065,0.01461802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006502578,"about_ca_system_score_gemma":7.339954e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004039661,"about_ca_topic_score_gemma":9.341339e-8,"domain_scores_codex":[0.999236,0.00006325992,0.0001425601,0.000179115,0.0001392178,0.0002397812],"domain_scores_gemma":[0.9994402,0.00001502198,0.00002285337,0.0002870439,0.0001165035,0.0001184111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002099494,0.0000267776,0.000003973191,0.00006663291,0.00003348817,0.000008371254,0.0002255303,0.0000608451,0.6310222,0.002307045,0.2579218,0.1083024],"study_design_scores_gemma":[0.0002771438,0.00004052712,0.0001993915,0.00003077395,0.000004885765,0.00003586029,0.00003563193,0.0001152021,0.02490715,0.0001409524,0.9740768,0.0001356592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7489902,0.000285629,0.003261618,0.0004844112,0.0004991146,0.000284897,0.000278301,0.003951594,0.2419643],"genre_scores_gemma":[0.9977399,0.0001466824,0.00009431563,0.00005134941,0.0001931304,1.685826e-8,0.0001094362,0.001076236,0.0005889132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7161551,"threshold_uncertainty_score":0.9861492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407342852817446,"score_gpt":0.2067948684364447,"score_spread":0.1827214399082703,"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."}}