{"id":"W4402423495","doi":"10.24908/iqurcp17996","title":"Characterizing Flow Dynamics in a Two-dimensional Flow Cell: Developing Methodologies for Enhanced Subsurface Contaminant Remediation Research","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Environmental remediation; Subsurface flow; Flow (mathematics); Environmental science; Dynamics (music); Biochemical engineering; Computer science; Petroleum engineering; Geology; Contamination; Engineering; Mechanics; Geotechnical engineering; Groundwater; Physics; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001375944,0.0005369851,0.0006179314,0.000927203,0.0002954945,0.000930033,0.0006652251,0.0008562743,0.0004636434],"category_scores_gemma":[0.001521454,0.0003001021,0.000375893,0.0007003476,0.0006637312,0.001482963,0.0005957422,0.0009036022,0.0001686502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006769768,"about_ca_system_score_gemma":0.0008235949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00175417,"about_ca_topic_score_gemma":0.002095533,"domain_scores_codex":[0.9996364,0.0000822909,0.00002700391,0.00009297112,0.0001203499,0.00004086543],"domain_scores_gemma":[0.9990175,0.0004788095,0.000146332,0.00008181299,0.0002153525,0.00006025658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004587475,0.0001310402,0.001517643,0.0002251162,0.00000859892,0.0000468538,0.0001128252,0.007030946,0.9631571,0.001404864,0.00009433467,0.02622476],"study_design_scores_gemma":[0.00004295808,0.0004963217,0.003840481,0.00003958801,0.00002688296,0.000122526,0.0002021197,0.2105174,0.7783892,0.001653576,0.004577316,0.00009164031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1959708,0.00130893,0.800338,0.0002640207,0.000063199,0.0003874698,0.0003087628,0.0006394639,0.0007193276],"genre_scores_gemma":[0.3692155,0.002114887,0.6265825,0.0001177467,0.00003421046,0.0008045554,0.0003567131,0.0000554333,0.0007183137],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00175417,"threshold_uncertainty_score":0.007276773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.159127315342853,"score_gpt":0.4129253021604467,"score_spread":0.2537979868175936,"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."}}