{"id":"W4394213566","doi":"10.6084/m9.figshare.21666869","title":"Getting the ROC into Sync","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"sync; Computer science; Telecommunications","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":[0.01089402,0.001313474,0.001516995,0.009809132,0.0005401024,0.005427703,0.001398922,0.002197211,0.005621212],"category_scores_gemma":[0.06337455,0.000302769,0.001261552,0.00754185,0.00101989,0.002942704,0.002256162,0.002304851,0.01010791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310044,"about_ca_system_score_gemma":0.001094238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002497697,"about_ca_topic_score_gemma":0.002010021,"domain_scores_codex":[0.9927858,0.002078839,0.0009264185,0.002046448,0.001827273,0.0003351591],"domain_scores_gemma":[0.9730788,0.01263876,0.002549341,0.00699408,0.004270029,0.0004689052],"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":[0.000712103,0.0002313741,0.05590472,0.001051445,0.0005136139,0.0002593558,0.0004623268,0.02463813,0.001696916,0.0213545,0.5759096,0.3172659],"study_design_scores_gemma":[0.000452611,0.0003868412,0.1003179,0.0006619453,0.00025552,0.001335021,0.001348286,0.2697567,0.007481088,0.1141765,0.5035477,0.0002798825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1711251,0.006853715,0.283118,0.008584075,0.003093027,0.000995119,0.4473373,0.03381862,0.045075],"genre_scores_gemma":[0.4402946,0.001458389,0.1478283,0.001306505,0.0008702746,0.001910136,0.3962462,0.003149176,0.006936509],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01089402,"threshold_uncertainty_score":0.05761373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0449088057116129,"score_gpt":0.2995676492698444,"score_spread":0.2546588435582315,"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."}}