{"id":"W4398202480","doi":"10.1016/j.scitotenv.2024.173474","title":"Assessment of hydraulic and thermal properties of the Antarctic active layer: Insights from laboratory column experiments and inverse modeling","year":2024,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Korea Polar Research Institute; National Research Foundation of Korea","keywords":"Inverse; Water column; Column (typography); Environmental science; Layer (electronics); Geology; Oceanography; Engineering; Materials science; Mathematics; Mechanical engineering; Nanotechnology","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":[0.0006038259,0.0004148669,0.0003608031,0.000212866,0.0003903263,0.0007821661,0.0005181765,0.0006920581,0.0006684784],"category_scores_gemma":[0.0007703265,0.0002124763,0.000409069,0.0002698319,0.0007051667,0.001065228,0.0003141836,0.0006612168,0.0001232184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007544926,"about_ca_system_score_gemma":0.0009660674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01478085,"about_ca_topic_score_gemma":0.01042377,"domain_scores_codex":[0.9998618,0.00004073429,0.00001045099,0.00003698158,0.00003312359,0.0000168471],"domain_scores_gemma":[0.9995684,0.0002385545,0.00003957445,0.00005828195,0.00007225979,0.00002302484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009617942,0.001106465,0.06248124,0.0003866118,0.0001681497,0.0001760451,0.0003594706,0.1511184,0.7431824,0.00216482,0.001098923,0.0367957],"study_design_scores_gemma":[0.0002996123,0.001410241,0.1412528,0.00004069358,0.0002242713,0.0001308359,0.0007999417,0.5291504,0.3206145,0.002560828,0.00336783,0.000148055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931544,0.0002261621,0.003962287,0.0001622481,0.00001326527,0.00003441807,0.0005531284,0.00003572918,0.001858362],"genre_scores_gemma":[0.9978819,0.0001898314,0.00146282,0.00002991348,0.000005757487,0.00002420703,0.0002024091,0.000007117701,0.0001958728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478085,"threshold_uncertainty_score":0.02938962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633604739658412,"score_gpt":0.2122648805823356,"score_spread":0.1959288331857515,"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."}}