{"id":"W4307701464","doi":"10.46873/2300-3960.1357","title":"Uncertainty analysis of operational conditions in selective artificial ground freezing applications","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Mining","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Coolant; Ground freezing; Environmental science; Inlet; Emissivity; Range (aeronautics); Work (physics); Monte Carlo method; Scale (ratio); Meteorology; Nuclear engineering; Geotechnical engineering; Mechanical engineering; Engineering; Mathematics; Aerospace engineering; Physics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007065848,0.00006192325,0.0002233224,0.0007699,0.0003501115,0.00003657973,0.0001392714,0.00002078984,0.004135571],"category_scores_gemma":[0.00004332046,0.0000605642,0.00009634793,0.001792423,0.0000391242,0.0002360152,0.00001847936,0.0001807455,9.183682e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006399446,"about_ca_system_score_gemma":0.0002129237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003416331,"about_ca_topic_score_gemma":0.007006824,"domain_scores_codex":[0.9989395,0.00009135842,0.0004134125,0.00009361421,0.0002707696,0.0001913241],"domain_scores_gemma":[0.999122,0.0002621093,0.0002739423,0.00006110628,0.0002322595,0.00004853146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006692992,0.00006242602,0.3907073,0.00001342445,0.0001747441,0.0000727995,0.004173432,0.6023124,0.000340888,0.001028981,0.0002592838,0.0007873637],"study_design_scores_gemma":[0.0004867971,0.0003968072,0.6273796,0.00001311297,0.0004574111,0.00007461025,0.2985673,0.06472363,0.00007386241,0.00263981,0.004970776,0.0002162473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977027,0.0002567928,0.0001910333,0.0001964117,0.00004679641,0.0001091291,0.0005194736,0.000002347026,0.0009753117],"genre_scores_gemma":[0.9990144,0.00001291533,0.0001017454,0.00008213416,0.00008351714,0.000005996018,0.0005943177,0.000001906884,0.0001030928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5375888,"threshold_uncertainty_score":0.9967748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02954560139190864,"score_gpt":0.2722428656453827,"score_spread":0.242697264253474,"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."}}