{"id":"W7096250432","doi":"","title":"OBJECT BASED THERMOKARST LAKE CHANGE MAPPING AS PART OF THE ESA DATA USER ELEMENT (DUE) PERMAFROST","year":2014,"lang":"en","type":"article","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermokarst; Permafrost; Change detection; Arctic; Object (grammar); Object based; Visualization","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":[0.000285014,0.0001434886,0.0001838599,0.001182525,0.0002911501,0.000519519,0.0002334689,0.0001824489,0.0008875901],"category_scores_gemma":[0.0003583505,0.00009421774,0.0001738769,0.001356029,0.0001485702,0.0003809088,0.0003365578,0.0001342454,0.0001658707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004100988,"about_ca_system_score_gemma":0.0002841842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02036526,"about_ca_topic_score_gemma":0.05546309,"domain_scores_codex":[0.9998139,0.0000308332,0.00001122113,0.00004888201,0.00008061926,0.00001462766],"domain_scores_gemma":[0.9998327,0.0000241924,0.00002544218,0.00003664852,0.00006544635,0.00001551216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003406786,0.0001339304,0.4811129,0.0001828054,0.0001471425,0.0003050138,0.001041426,0.0313584,0.09499127,0.001659087,0.001906625,0.3868206],"study_design_scores_gemma":[0.00001265662,0.00007810954,0.8931466,0.00001429052,0.00004234969,0.0001828351,0.0004653034,0.07602709,0.02365205,0.000561114,0.005787931,0.00002970174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541916,0.000272134,0.03404781,0.00007148642,0.00001420277,0.0000593897,0.004284899,0.0004475574,0.00661097],"genre_scores_gemma":[0.9311891,0.00009831882,0.06371136,0.00001429695,0.00001053797,0.00005467843,0.003304293,0.00006036763,0.001556923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02036526,"threshold_uncertainty_score":0.04049343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052067832090658,"score_gpt":0.2593632125325631,"score_spread":0.1541564293234973,"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."}}