{"id":"W2897019116","doi":"","title":"Thermo-Hydro-Mechanical simulations of Artificial Ground Freezing","year":2018,"lang":"en","type":"article","venue":"Duo Research Archive (University of Oslo)","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ground freezing; Environmental science; Materials science; Geology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005552526,0.00007372444,0.0001614416,0.0002763974,0.0004696588,0.00001651723,0.0003943697,0.00005265805,0.01298461],"category_scores_gemma":[0.0000869498,0.00007765356,0.00007670898,0.0003995168,0.0008576214,0.0001830223,0.00009346476,0.0002112096,0.0002649927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005961218,"about_ca_system_score_gemma":0.00007064529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01813443,"about_ca_topic_score_gemma":0.1229949,"domain_scores_codex":[0.9986177,0.0002436745,0.0001160516,0.0002200208,0.0004579169,0.000344625],"domain_scores_gemma":[0.9986947,0.0006869857,0.00006074546,0.0002368381,0.000176662,0.0001440215],"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":[0.002496601,0.0005326953,0.2346008,0.0002836693,0.000276919,0.0001995936,0.03639873,0.0008636943,0.5731985,0.009145934,0.007994032,0.1340089],"study_design_scores_gemma":[0.001076991,0.001966085,0.6432505,0.0001479468,0.00004225817,0.00001094993,0.016604,0.2751788,0.003002254,0.04802759,0.01026036,0.0004322407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870668,0.00002954924,0.001236331,0.0002557558,0.0000706068,0.0001544654,0.002249472,0.00001233787,0.008924647],"genre_scores_gemma":[0.9986168,0.00004380546,0.0006015424,0.00001384345,0.0001388328,2.787337e-8,0.0004592591,0.000002917331,0.0001230197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5701962,"threshold_uncertainty_score":0.9884039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09824471804722047,"score_gpt":0.2962259479296308,"score_spread":0.1979812298824103,"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."}}