{"id":"W7107961990","doi":"10.25545/cigyqw/wto2di","title":"Conventional tracer test_Bentheimer 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; Core (optical fiber); Sample (material); Automated method; 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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002068882,0.002960298,0.002473314,0.002485859,0.001132446,0.0008500189,0.005518544,0.001982044,0.2905378],"category_scores_gemma":[0.004998445,0.003431516,0.001371831,0.002796143,0.001892071,0.001785269,0.004137029,0.003513634,0.2899967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336345,"about_ca_system_score_gemma":0.003889065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002487792,"about_ca_topic_score_gemma":0.0009519508,"domain_scores_codex":[0.9855198,0.001214171,0.002991653,0.004392367,0.003141334,0.00274069],"domain_scores_gemma":[0.9837235,0.002868111,0.001987115,0.009356367,0.0008883009,0.00117658],"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":[0.000832604,0.003321943,0.000116989,0.0008786742,0.003194593,0.0004065112,0.00004498945,0.00005282592,0.00008931399,0.001466522,0.9888792,0.0007158353],"study_design_scores_gemma":[0.005797037,0.0002186975,0.0001332899,0.0015303,0.006072309,0.00008472765,0.0002662003,0.0003766827,0.00008947645,0.0002589049,0.9822797,0.00289268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001885145,0.000339963,0.0003020296,0.000127904,0.007087962,0.00253159,0.9883161,0.0002740386,0.001001613],"genre_scores_gemma":[0.00003031887,0.001294089,0.002424006,0.001005406,0.002061893,0.0002112242,0.9865547,0.000274851,0.006143474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006599505,"threshold_uncertainty_score":0.9998621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365616013416,"score_gpt":0.2934890488712321,"score_spread":0.2698328887370721,"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."}}