{"id":"W7107965702","doi":"10.25545/cigyqw/qdenrm","title":"Conventional tracer test_Buff Berea_ 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); Brine; Automated method","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":[0.001703377,0.005042375,0.002738799,0.003491976,0.001540189,0.003917833,0.004221653,0.004457713,0.1205862],"category_scores_gemma":[0.006313892,0.002031333,0.002161777,0.004353002,0.0008796565,0.002248362,0.002287423,0.003103882,0.1791085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002265566,"about_ca_system_score_gemma":0.003321795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01657814,"about_ca_topic_score_gemma":0.02800487,"domain_scores_codex":[0.9983986,0.0001790454,0.0001181023,0.0006001443,0.0004499441,0.0002541898],"domain_scores_gemma":[0.9966389,0.001061211,0.000269397,0.001069688,0.0007593594,0.0002015473],"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":[0.0002615838,0.00005746775,0.00108352,0.001685563,0.00007271266,0.00003022103,0.00002921699,0.0006071973,0.001413822,0.0005748593,0.9899651,0.004218673],"study_design_scores_gemma":[0.0004990609,0.0000686355,0.00319727,0.0003933588,0.00008962025,0.00008701507,0.00004553643,0.001770828,0.007468251,0.00298039,0.9833066,0.00009355398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002365825,0.0001468454,0.0003465167,0.0000674808,0.00005231178,0.00001986581,0.9919539,0.006210816,0.0009657053],"genre_scores_gemma":[0.0008593823,0.00009123817,0.0009693311,0.0000938368,0.00001318935,0.0001167191,0.9952867,0.001461841,0.001107626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1205862,"threshold_uncertainty_score":0.403401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972935574411228,"score_gpt":0.2871410653073256,"score_spread":0.2674117095632134,"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."}}