{"id":"W1024239577","doi":"","title":"Estimating ground ice volumes in tundra polygon networks","year":2005,"lang":"en","type":"article","venue":"Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut)","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tundra; Permafrost; Arctic; Sea ice; Global warming; Arctic ice pack; Environmental science; Geology; Arctic vegetation; Climate change; Climatology; Physical geography; Geography; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005394678,0.0005717229,0.0003642675,0.005743441,0.0003127526,0.00133327,0.0008232798,0.0003878135,0.0008501338],"category_scores_gemma":[0.003243345,0.000285288,0.0005160765,0.003786326,0.0002929209,0.000944427,0.000773946,0.00028798,0.0003456819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087781,"about_ca_system_score_gemma":0.0003766961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03079831,"about_ca_topic_score_gemma":0.02802519,"domain_scores_codex":[0.9995887,0.00007778925,0.00002907515,0.0001196579,0.000113173,0.00007156208],"domain_scores_gemma":[0.9991109,0.0003473738,0.0002247352,0.00009079446,0.0001501189,0.00007609376],"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":[0.0004909172,0.0001154984,0.3216977,0.0001627873,0.0002416408,0.0004733736,0.0003114074,0.5250809,0.002284867,0.002498738,0.003501446,0.1431407],"study_design_scores_gemma":[0.000009398454,0.00004488881,0.07014003,0.00003979603,0.00003388838,0.0002066,0.0003445039,0.9230285,0.001476001,0.001615181,0.003045037,0.00001611465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938646,0.001660009,0.04323152,0.0001680978,0.00005887265,0.0001818089,0.009777734,0.0008018927,0.005474018],"genre_scores_gemma":[0.9656024,0.0005732492,0.02343076,0.00001644372,0.00003632138,0.00007231129,0.009173295,0.00003406115,0.001061078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03079831,"threshold_uncertainty_score":0.06123811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271545859687636,"score_gpt":0.2620016538147262,"score_spread":0.2392861952178499,"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."}}