{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009939626,0.003314297,0.002129513,0.00502554,0.001085446,0.004355201,0.002781015,0.002762672,0.3205754],"category_scores_gemma":[0.006986674,0.001097807,0.00152973,0.008159972,0.0006227387,0.002842337,0.002223552,0.001851666,0.4283774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753452,"about_ca_system_score_gemma":0.002365643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01784082,"about_ca_topic_score_gemma":0.02306954,"domain_scores_codex":[0.9988462,0.0001646812,0.000136175,0.0003976279,0.0002411632,0.0002141704],"domain_scores_gemma":[0.9971968,0.0007727189,0.0002436383,0.0006749059,0.0007526772,0.0003591779],"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":[0.00004951195,0.000007927307,0.00009427014,0.0003754511,0.00001045344,0.000005861033,0.000008068649,0.00007650723,0.00007728014,0.000182877,0.9982271,0.0008847609],"study_design_scores_gemma":[0.0002857001,0.00002890828,0.00120414,0.000234119,0.00002320857,0.00003337429,0.00004561881,0.0002554513,0.0004459396,0.001048346,0.9963649,0.00003032429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003919551,0.00005175593,0.00003553116,0.00005038071,0.00004549938,0.000006651893,0.9983777,0.0005484357,0.0008448586],"genre_scores_gemma":[0.0002264642,0.00005228954,0.0001236524,0.00006368977,0.00001571278,0.00003856273,0.9980078,0.0002776548,0.001194132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6794246,"threshold_uncertainty_score":0.9691167,"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."}}