{"id":"W3211236060","doi":"10.5281/zenodo.4279923","title":"ultralytics/yolov3: v8 - Final Darknet Compatible Release","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00265874,0.0001360241,0.0001901501,0.0002518142,0.001905733,0.002862727,0.002829848,0.0000350194,0.02474071],"category_scores_gemma":[0.006772821,0.0001228432,0.00007329607,0.001693075,0.0001895724,0.0003614502,0.002325463,0.000234737,0.04734257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005358603,"about_ca_system_score_gemma":0.000005689964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001350081,"about_ca_topic_score_gemma":2.597405e-7,"domain_scores_codex":[0.9965052,0.0004476731,0.0004833039,0.0008823827,0.001297639,0.00038378],"domain_scores_gemma":[0.9976956,0.0001368854,0.0001735701,0.0009891565,0.0006263714,0.0003784534],"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":[0.00004477593,0.00006420942,0.00001491541,0.0000105608,0.00001206002,0.00001758177,0.0008496644,0.0007325952,0.0004106144,0.002766782,0.8842432,0.110833],"study_design_scores_gemma":[0.0003790012,0.0001508466,0.0008486124,0.000009320773,0.000008376363,0.00001872912,0.000636233,0.02545771,0.0001456277,0.0006845589,0.9715143,0.0001467039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.174733,0.0001278909,0.1532389,0.02961268,0.001107458,0.001253508,0.001203725,0.003082443,0.6356404],"genre_scores_gemma":[0.9934563,0.000009572759,0.0009514878,0.001080542,0.0002071072,1.377515e-8,0.000825829,0.0003732623,0.003095872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8187233,"threshold_uncertainty_score":0.9993936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2906417656848095,"score_gpt":0.3470921242592022,"score_spread":0.05645035857439262,"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."}}