{"id":"W6949876482","doi":"10.5281/zenodo.5146254","title":"tryolabs/norfair: v0.3.1","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":"Tellabs (Canada)","funders":"","keywords":"Detector; Video tracking; Python (programming language); Scratch; Object detection; Tracking (education); Bounding overwatch","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":[0.001628452,0.003627656,0.001647886,0.001550513,0.0008406149,0.002879119,0.007239059,0.001559718,0.1137697],"category_scores_gemma":[0.003781798,0.002603645,0.002135296,0.0008905674,0.0009293474,0.003243128,0.004445304,0.003068594,0.1541327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893651,"about_ca_system_score_gemma":0.002362973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070759,"about_ca_topic_score_gemma":0.01220297,"domain_scores_codex":[0.9988061,0.000104345,0.00005626106,0.0003348947,0.0005039978,0.0001943697],"domain_scores_gemma":[0.9989468,0.0001590727,0.00007336004,0.0003613078,0.0003023827,0.0001571249],"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":[0.0005726494,0.0001051439,0.001499583,0.0008259208,0.000170991,0.0001451721,0.0001775903,0.008332676,0.0146642,0.009778245,0.8642755,0.09945223],"study_design_scores_gemma":[0.0002229316,0.0001046848,0.00201499,0.0001785315,0.00006436904,0.0004526973,0.00005756504,0.1548125,0.05050527,0.01954282,0.7717269,0.0003167549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0007700233,0.0001176316,0.1557058,0.0001116127,0.0001387853,0.00008413037,0.01219458,0.8219719,0.008905532],"genre_scores_gemma":[0.0330176,0.0003533571,0.2124328,0.0008735048,0.0001073932,0.0008545653,0.1015896,0.6059005,0.04487062],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1137697,"threshold_uncertainty_score":0.3805977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03897190802362435,"score_gpt":0.2547958924631801,"score_spread":0.2158239844395557,"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."}}