{"id":"W6912612274","doi":"10.5281/zenodo.594510","title":"OpenKinect/libfreenect2:","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; FPInnovations","funders":"","keywords":"Process (computing); Natural (archaeology); Work (physics); Product (mathematics)","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":[0.0019832,0.003914621,0.002328991,0.0033902,0.001339677,0.006270122,0.00736065,0.003204464,0.4531189],"category_scores_gemma":[0.008100532,0.003244182,0.002819446,0.003231426,0.001403071,0.007024962,0.005527044,0.005461452,0.5938899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588844,"about_ca_system_score_gemma":0.00215294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003670224,"about_ca_topic_score_gemma":0.003121286,"domain_scores_codex":[0.9976873,0.0001806519,0.0001476453,0.0004450215,0.001236409,0.0003029165],"domain_scores_gemma":[0.9963654,0.0007754958,0.0001761243,0.001123221,0.001128981,0.0004307067],"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":[0.0002399253,0.00003263727,0.0001296288,0.0004807242,0.0000376171,0.00005656132,0.00005504732,0.0004205752,0.001688844,0.004035876,0.9654836,0.02733902],"study_design_scores_gemma":[0.0001448814,0.00002536322,0.0002906397,0.0001227177,0.0000282251,0.000181406,0.00001683997,0.001418947,0.007386462,0.006038324,0.9842176,0.0001285355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0007305536,0.0007971149,0.0510447,0.0005829213,0.0008693996,0.00015983,0.1115143,0.7344888,0.09981237],"genre_scores_gemma":[0.005477181,0.0005297915,0.0189819,0.000672093,0.000262288,0.0003245419,0.1927378,0.6724986,0.1085157],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4531189,"threshold_uncertainty_score":0.7800595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398281053096528,"score_gpt":0.2611127559648704,"score_spread":0.2171299454339051,"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."}}