{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002541436,0.005417427,0.002289687,0.003208241,0.001015876,0.005280134,0.007637145,0.002204907,0.3028428],"category_scores_gemma":[0.01071916,0.00418959,0.002830933,0.002421791,0.000779323,0.006380734,0.005361093,0.004370112,0.3393181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712463,"about_ca_system_score_gemma":0.001801745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004037944,"about_ca_topic_score_gemma":0.002836409,"domain_scores_codex":[0.9969235,0.0002146975,0.000259282,0.0005724346,0.001596409,0.0004336355],"domain_scores_gemma":[0.9950955,0.0008987952,0.0002303367,0.001577086,0.001921739,0.0002765232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005884158,0.00006837871,0.0005167951,0.0006239835,0.00009261367,0.0001337094,0.00009822843,0.0006666312,0.003866169,0.002501199,0.9317927,0.0590512],"study_design_scores_gemma":[0.0003336911,0.0001068491,0.001149003,0.0002973644,0.00008185316,0.0006165493,0.00003991499,0.006486067,0.04259931,0.005031047,0.9429639,0.0002944446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0009129725,0.0004432743,0.03575579,0.0001650357,0.0003430576,0.0001155262,0.02748213,0.9146202,0.02016201],"genre_scores_gemma":[0.01085071,0.0005456472,0.02502342,0.00069293,0.0002150041,0.0005170855,0.1504896,0.7636016,0.04806403],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3028428,"threshold_uncertainty_score":0.9944102,"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."}}