{"id":"W3210832411","doi":"10.1139/as-2021-0013","title":"Initialization of thermal models in cold and warm permafrost","year":2021,"lang":"en","type":"article","venue":"Arctic Science","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Permafrost; Initialization; Transient (computer programming); Thermal; Range (aeronautics); Environmental science; Climate change; Climatology; Mechanics; Computer science; Meteorology; Geology; Materials science; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005566072,0.000386586,0.0005345044,0.0003196744,0.0005452867,0.0007643714,0.0008788154,0.0005238203,0.001115727],"category_scores_gemma":[0.001636532,0.0003578018,0.0007236886,0.0002842612,0.0006000938,0.0007673011,0.0007813731,0.001005672,0.0001733161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008131507,"about_ca_system_score_gemma":0.0008119525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040966,"about_ca_topic_score_gemma":0.01110762,"domain_scores_codex":[0.9998356,0.00005735617,0.00001213197,0.00002972451,0.00002499011,0.00004011908],"domain_scores_gemma":[0.9995363,0.0001943931,0.00006294149,0.0000755447,0.00007786548,0.0000530291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008579536,0.00002645818,0.003673857,0.00001840071,0.00001814175,0.00003758745,0.0000815062,0.9886558,0.001752468,0.002383483,0.0001572061,0.003109325],"study_design_scores_gemma":[0.00001846804,0.00002624267,0.0007600766,0.000008484922,0.000007509342,0.000006892235,0.00003071747,0.9959736,0.001301632,0.001489657,0.0003673437,0.000009366566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7900636,0.0001981301,0.1983602,0.0001590721,0.0000609355,0.000142246,0.0005382247,0.0007128707,0.009764676],"genre_scores_gemma":[0.9807225,0.00004273604,0.01817943,0.00002787727,0.000004105349,0.00008357412,0.0002851569,0.00008182707,0.0005727605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01040966,"threshold_uncertainty_score":0.02069813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04926581077825742,"score_gpt":0.2540082137636893,"score_spread":0.2047424029854319,"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."}}