{"id":"W7107939333","doi":"10.25545/cigyqw/izb1go","title":"Conventional tracer test_Nugget_Parallel to flow sample.tab","year":2025,"lang":"","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"TRACER; Spark plug; Flow (mathematics); Core (optical fiber); Plug flow; Brine","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002275429,0.003367167,0.003030448,0.003525876,0.001160219,0.00108332,0.006906569,0.001959467,0.1755698],"category_scores_gemma":[0.006421507,0.004082853,0.001312758,0.004129357,0.0009563484,0.001647149,0.005715306,0.003241587,0.4411642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00211885,"about_ca_system_score_gemma":0.004175863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617657,"about_ca_topic_score_gemma":0.001919984,"domain_scores_codex":[0.9831293,0.001127298,0.003348962,0.005440362,0.003560688,0.003393433],"domain_scores_gemma":[0.9824199,0.002420258,0.001357769,0.01031316,0.001121131,0.002367794],"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":[0.001806532,0.002937896,0.00006046792,0.001001349,0.001742119,0.0006115849,0.0001051584,0.002229491,0.00009448326,0.0005785536,0.9877928,0.001039495],"study_design_scores_gemma":[0.006383743,0.0004756568,0.0001850147,0.001721491,0.002635774,0.00009422201,0.000243155,0.002602467,0.0000291019,0.0001895893,0.9818184,0.003621368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002937203,0.0001171746,0.003366332,0.0003069676,0.007099325,0.004319773,0.9837733,0.0003373887,0.00065035],"genre_scores_gemma":[0.00001184242,0.0005057639,0.03261038,0.002681678,0.0023072,0.0004985295,0.9524751,0.0003102479,0.008599314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2655943,"threshold_uncertainty_score":0.9999536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011948742868633,"score_gpt":0.2960343479269382,"score_spread":0.2759148604982519,"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."}}