{"id":"W3208354647","doi":"10.1130/abs/2021am-366854","title":"LONG-TERM MONITORING OF METHANE CONCENTRATIONS IN A SHALE AQUIFER USING TOTAL DISSOLVED GAS PRESSURE (P<sub>TDG</sub>) PROBES: COMPARISON WITH DATA FROM GROUNDWATER SAMPLES","year":2021,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Aquifer; Methane; Groundwater; Shale gas; Environmental science; Oil shale; Hydrology (agriculture); Environmental chemistry; Hydraulic fracturing; Petroleum engineering; Geology; Chemistry; Geotechnical engineering","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":[0.0002345114,0.000164971,0.0001729603,0.000349386,0.0004869087,0.0002252483,0.0001977942,0.00037294,0.0002500809],"category_scores_gemma":[0.0002817543,0.0001292382,0.0001514157,0.0003553858,0.0002186232,0.0003345563,0.0002283717,0.0002364131,0.00009483736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004952982,"about_ca_system_score_gemma":0.000256822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01838226,"about_ca_topic_score_gemma":0.03311848,"domain_scores_codex":[0.9999226,0.000009116748,0.000004082872,0.0000280727,0.00002151512,0.00001466336],"domain_scores_gemma":[0.999809,0.0000449186,0.00003386956,0.0000115375,0.00006718341,0.00003354201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001232919,0.0003485011,0.7234977,0.00004339799,0.00008839826,0.0002837896,0.0003689058,0.003013012,0.2553205,0.00006381934,0.0002737977,0.01546518],"study_design_scores_gemma":[0.00001992835,0.0003816794,0.9547967,0.000003918602,0.00004992383,0.000118232,0.0002305502,0.01276167,0.03120675,0.00004052285,0.0003776211,0.00001244064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993761,0.00001789625,0.0002525834,0.0000114646,0.000001849103,0.000002309768,0.0001654785,0.00001157189,0.0001606732],"genre_scores_gemma":[0.999062,0.00001865953,0.0004541883,0.000006952245,0.000002416207,0.000004651994,0.0002661663,0.000002233433,0.0001828361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01838226,"threshold_uncertainty_score":0.03655052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07070069326532455,"score_gpt":0.294436065696329,"score_spread":0.2237353724310045,"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."}}