{"id":"W2010536204","doi":"10.5194/tc-7-631-2013","title":"The influence of climate and hydrological variables on opposite anomaly in active-layer thickness between Eurasian and North American watersheds","year":2013,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Snow; Environmental science; Arctic; Climatology; Climate change; Active layer; Water content; Anomaly (physics); Physical geography; Global warming; Moisture; Atmospheric sciences; Geology; Geography; Oceanography; Geomorphology; Layer (electronics); Meteorology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002192857,0.0001530853,0.0002181542,0.00001401969,0.0002478639,0.0001034575,0.0002276697,0.00005236565,0.0002600539],"category_scores_gemma":[0.000009285055,0.00007712022,0.00002259943,0.0002015514,0.0004366002,0.0001733838,0.00004704296,0.0001989899,0.00004194251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002955781,"about_ca_system_score_gemma":0.000009536217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01736923,"about_ca_topic_score_gemma":0.08972371,"domain_scores_codex":[0.9989431,0.0001241392,0.0002007908,0.0002322187,0.0001444268,0.0003553188],"domain_scores_gemma":[0.9991186,0.0004626712,0.0001024467,0.0001961948,0.00002569072,0.00009438596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005640966,0.000006973773,0.9770018,0.00001311914,0.0000113414,0.000003798972,0.0006556435,0.0002544865,0.0001009772,0.00000721303,0.00001952139,0.02186865],"study_design_scores_gemma":[0.0001505763,0.000216314,0.9975491,0.00001754469,0.00001314085,0.000007353044,0.0004484141,0.0008271302,0.00001848867,0.0001167518,0.0005218362,0.0001133213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997611,0.0001671195,5.270122e-7,0.0006979448,0.00002598267,0.0002241539,0.0002344159,0.00001135209,0.001027484],"genre_scores_gemma":[0.9986082,0.0008714757,0.00001673976,0.0003558342,0.0000432924,0.000005203094,0.00006528551,0.000004261757,0.00002966793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07235449,"threshold_uncertainty_score":0.9891742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904777161768937,"score_gpt":0.2213483325032587,"score_spread":0.2023005608855694,"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."}}