{"id":"W7083320047","doi":"10.5281/zenodo.17196696","title":"Three-Dimensional Analysis of Heat Tracer Transport with Hydraulic Conductivity Distributions from Various Approaches in a Complex Aquifer System","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hydraulic conductivity; Aquifer; TRACER; Drawdown (hydrology); Porosity; Thermal conductivity; Hydrology (agriculture); Conductivity","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":[0.0009102793,0.001570397,0.0009263548,0.00226368,0.0004204411,0.001181173,0.001933386,0.002042967,0.01114691],"category_scores_gemma":[0.002740831,0.0004888023,0.001263325,0.003086203,0.0003955022,0.0007591901,0.0009000868,0.00120308,0.0132444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216267,"about_ca_system_score_gemma":0.000979991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02034662,"about_ca_topic_score_gemma":0.032817,"domain_scores_codex":[0.999511,0.00008344402,0.00005262191,0.000154773,0.0001350669,0.00006299683],"domain_scores_gemma":[0.9988955,0.0004082029,0.0001028534,0.0002460578,0.0002762998,0.00007103523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003325696,0.0002539892,0.009690681,0.001408976,0.0002099993,0.0001890427,0.00008009361,0.02823657,0.0008143816,0.001877263,0.9406543,0.01625218],"study_design_scores_gemma":[0.001344287,0.0001946556,0.0517232,0.0007793453,0.0001884011,0.0004132615,0.000412498,0.06329221,0.004799736,0.01144159,0.8651379,0.0002728885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004385255,0.0001112292,0.0004777506,0.0001347618,0.00002429526,0.0000200078,0.9932942,0.0009075265,0.0006448818],"genre_scores_gemma":[0.006058625,0.00007654748,0.001319667,0.00005604175,0.00000900077,0.0001022997,0.9917023,0.0000661095,0.0006095045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02034662,"threshold_uncertainty_score":0.04045635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09130934754916861,"score_gpt":0.2207762066726238,"score_spread":0.1294668591234552,"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."}}