{"id":"W6889245524","doi":"10.25545/mmnbnm/g0wseu","title":"time sync 082705.tab","year":2025,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"sync; Noise (video); Synchronization (alternating current); Window (computing)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000574455,0.0008498809,0.0008965986,0.0009386654,0.0001859119,0.0001705394,0.00271928,0.0007230227,0.04569478],"category_scores_gemma":[0.0009748578,0.0008965092,0.0002342916,0.0008988415,0.0003193248,0.000419029,0.002078867,0.001110193,0.656189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004669014,"about_ca_system_score_gemma":0.0006956252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008479527,"about_ca_topic_score_gemma":0.0002586018,"domain_scores_codex":[0.9960907,0.0002413474,0.0006108883,0.001302007,0.0008989198,0.0008562133],"domain_scores_gemma":[0.9931934,0.0002364631,0.000394827,0.005757865,0.0001334904,0.0002839808],"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":[0.00007356632,0.0001852958,5.976838e-7,0.0002237092,0.0002834287,0.0004590436,0.000007532713,0.000007706733,0.00003075537,0.00001459463,0.9986169,0.00009689623],"study_design_scores_gemma":[0.0007466876,0.00003929298,0.000002547217,0.0003440354,0.0007147957,0.00002500744,0.00002213752,0.00005260299,0.0000208183,0.00001340737,0.9971973,0.0008213164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003321786,0.00002563554,0.000001867939,0.00001509124,0.001376214,0.0005822063,0.9954572,0.0003427686,0.002195677],"genre_scores_gemma":[1.782261e-7,0.0001398827,0.0001682116,0.0005006694,0.0006648421,0.00003629348,0.9802244,0.00008321928,0.01818224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6104942,"threshold_uncertainty_score":0.9993486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009449006078497852,"score_gpt":0.2567110555207683,"score_spread":0.2472620494422705,"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."}}