{"id":"W4391597606","doi":"10.1016/j.advwatres.2024.104654","title":"Measuring changes in background dissolved gases to evaluate multi-component gas dissolution: Laboratory experiments and implications for stray gas monitoring","year":2024,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissolution; Mass transfer; Groundwater; Natural gas; Environmental science; Carbon dioxide; Petroleum engineering; Environmental chemistry; Chemistry; Environmental engineering; Geology; Geotechnical engineering; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002214838,0.0001861042,0.0001547422,0.00002701798,0.0001214072,0.00006484493,0.000161607,0.00004120661,0.00002953831],"category_scores_gemma":[0.000007831854,0.0001498398,0.00002566623,0.0001468807,0.000129614,0.0003754559,0.0001939414,0.0000856265,0.00001741768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003560025,"about_ca_system_score_gemma":0.000001823697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001181541,"about_ca_topic_score_gemma":0.0003403871,"domain_scores_codex":[0.9987124,0.00004035241,0.0002124806,0.0004730984,0.0001680794,0.0003936207],"domain_scores_gemma":[0.9996489,0.00005015768,0.00002463604,0.0001708292,0.000002862218,0.0001025776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009759447,0.0002398302,0.6184449,0.0001164265,0.00002072148,0.00001417626,0.01172707,0.1137404,0.2055959,0.00002220301,0.000007135166,0.04997369],"study_design_scores_gemma":[0.001635646,0.0003978186,0.8609633,0.0007774686,0.00004737536,0.00001208799,0.007222454,0.02302916,0.04611449,0.001145555,0.05746228,0.001192333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993702,0.003571233,0.001639856,0.0004098501,0.0001443387,0.0004251593,0.000008967912,0.00004086156,0.00005771671],"genre_scores_gemma":[0.9889427,0.0008076415,0.009652697,0.00002974457,0.00005165309,0.0003742352,0.000006159404,0.00002737462,0.0001077967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2425184,"threshold_uncertainty_score":0.6110292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03812416034332734,"score_gpt":0.3024687097499855,"score_spread":0.2643445494066582,"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."}}