{"id":"W4412724377","doi":"10.1016/j.geothermics.2025.103458","title":"Experimental study on mineral precipitation prediction and mitigation for geothermal fluids in Clarke Lake Field in British Columbia, Canada","year":2025,"lang":"en","type":"article","venue":"Geothermics","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geothermal gradient; Precipitation; Geology; Environmental science; Mineral; Geochemistry; Geothermal energy; Hydrology (agriculture); Mining engineering; Meteorology; Geophysics; Geography; Geotechnical engineering; Metallurgy; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001237769,0.0000568734,0.00008796198,0.00002331708,0.00007531491,0.00005460572,0.00004701198,0.00003664286,0.00006691797],"category_scores_gemma":[0.00001775076,0.00008645939,0.00001079487,0.00009400033,0.00002389586,0.00009714576,0.00002931181,0.00005008252,6.626503e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001902149,"about_ca_system_score_gemma":0.00001874615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5379048,"about_ca_topic_score_gemma":0.9941219,"domain_scores_codex":[0.9993584,0.00003686917,0.0001680325,0.0001987134,0.0001118106,0.0001261438],"domain_scores_gemma":[0.9998407,0.00005306811,0.00002309762,0.00006146981,0.000006224477,0.00001547246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002077508,0.000186465,0.9793609,0.000005032318,0.000006652526,0.000003035119,0.001131912,0.0002059946,0.00121853,0.00000319625,0.001259684,0.01659787],"study_design_scores_gemma":[0.001126953,0.0001920128,0.9921762,0.00002191619,0.000003311558,6.623282e-7,0.003045542,0.00177661,0.0002309052,0.000027303,0.00132418,0.00007435731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984095,0.00002162882,0.0002733046,0.0001064226,0.0001462985,0.0005970643,0.00002363151,0.000008801084,0.0004133568],"genre_scores_gemma":[0.9957108,0.000001739539,0.00003283012,0.0003906739,0.00001326701,0.0002146907,0.00001478754,0.000005462632,0.003615771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4562171,"threshold_uncertainty_score":0.4651724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005376477521379399,"score_gpt":0.2136920572225474,"score_spread":0.208315579701168,"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."}}