{"id":"W3047039983","doi":"10.3390/w12082222","title":"Impact of Standing Column Well Operation on Carbonate Scaling","year":2020,"lang":"en","type":"article","venue":"Water","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Clogging; Calcite; Groundwater; Environmental science; Calcium carbonate; Carbonate minerals; Scaling; Environmental engineering; Hydrology (agriculture); Chemistry; Mineralogy; Geology; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003599766,0.000335868,0.0003510122,0.0002041714,0.0004380612,0.0006927816,0.0004274495,0.000381678,0.002306584],"category_scores_gemma":[0.0008707793,0.0001572973,0.0004148959,0.0003107788,0.0003673951,0.0006273704,0.0003294598,0.0003309809,0.0002830529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006146283,"about_ca_system_score_gemma":0.0005661918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006139695,"about_ca_topic_score_gemma":0.01183594,"domain_scores_codex":[0.9996079,0.00004523141,0.00002897401,0.00006605793,0.0001634265,0.00008854581],"domain_scores_gemma":[0.9993205,0.000218049,0.00009042264,0.00007321817,0.0002399782,0.00005792421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006993394,0.0001622991,0.01636168,0.0002497055,0.0000488974,0.000529448,0.0001005219,0.005575468,0.9579732,0.0002773727,0.0005544347,0.01746773],"study_design_scores_gemma":[0.00003269514,0.001346717,0.04674454,0.00001916148,0.00007487184,0.0002407766,0.0004384799,0.01610304,0.9306417,0.0002278414,0.004079345,0.00005082807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953318,0.0002870876,0.002815556,0.0001020409,0.00003201627,0.00003113343,0.0003485807,0.000121549,0.0009302872],"genre_scores_gemma":[0.9984664,0.0001348248,0.0007017648,0.00002276327,0.000003291313,0.000007779129,0.0001131722,0.00001462537,0.0005354082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006139695,"threshold_uncertainty_score":0.01220793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090997490877703,"score_gpt":0.2499770820149059,"score_spread":0.2290671071061289,"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."}}