{"id":"W2557406799","doi":"10.5194/tcd-8-1895-2014","title":"A new approach to mapping permafrost and change incorporating uncertainties in ground conditions and climate projections","year":2014,"lang":"en","type":"article","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Permafrost; Land cover; Climate change; Environmental science; Remote sensing; Field (mathematics); Physical geography; Climatology; Land use; Geology; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001317591,0.0006367253,0.0006915,0.002088152,0.0006172242,0.001749953,0.001294655,0.0008729197,0.001361999],"category_scores_gemma":[0.002499971,0.000679498,0.0009704248,0.001607771,0.0006869383,0.001622678,0.001255794,0.00083103,0.0001440292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002409839,"about_ca_system_score_gemma":0.002341883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06920634,"about_ca_topic_score_gemma":0.08751012,"domain_scores_codex":[0.9993581,0.0001638857,0.00003314994,0.0002150495,0.0001906389,0.00003927087],"domain_scores_gemma":[0.9991657,0.0003623472,0.0001223286,0.00009694491,0.0002032908,0.00004944699],"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":[0.00004734198,0.00007734519,0.01008129,0.00006038546,0.0002605496,0.0001003322,0.0001105523,0.9283301,0.002435439,0.007536362,0.0005393816,0.0504209],"study_design_scores_gemma":[0.00000959661,0.00001285407,0.002109237,0.000006979718,0.00001988249,0.00003761746,0.00002303526,0.9909672,0.000346575,0.005599199,0.0008543631,0.00001343727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0704597,0.0002055883,0.9247057,0.000436619,0.00003039298,0.00008098938,0.0006899629,0.0005308768,0.002860025],"genre_scores_gemma":[0.5532107,0.000245384,0.4434042,0.0001097276,0.00006178571,0.0002105772,0.0006825291,0.00007340055,0.002001625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06920634,"threshold_uncertainty_score":0.137607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07932191789905023,"score_gpt":0.2625607751506255,"score_spread":0.1832388572515753,"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."}}