{"id":"W4403276747","doi":"10.1126/sciadv.adq4893","title":"Temperature sensitivity of the mineral permafrost feedback at the continental scale","year":2024,"lang":"en","type":"article","venue":"Science Advances","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aurora College; University of Alberta","funders":"","keywords":"Permafrost; Scale (ratio); Sensitivity (control systems); Mineral; Mineral exploration; Earth science; Geology; Environmental science; Physical geography; Oceanography; Geochemistry; Ecology; Geography; Biology; Cartography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000686601,0.0001144483,0.0001098729,0.00003837519,0.0006170338,0.0001598658,0.0003508608,0.00002868313,0.001322015],"category_scores_gemma":[0.00004247171,0.00005184377,0.00008193003,0.000800882,0.001701844,0.0006280967,0.00006803853,0.0001422263,0.0001333169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009316721,"about_ca_system_score_gemma":0.00007680021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006263523,"about_ca_topic_score_gemma":0.04318073,"domain_scores_codex":[0.9987299,0.00006294223,0.0001333634,0.0002977365,0.0004689488,0.0003070634],"domain_scores_gemma":[0.9993964,0.000205816,0.00004275734,0.0002443127,0.00004820458,0.00006248854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001690276,0.000007316424,0.6004391,0.00003621736,0.000003237734,0.000009233878,0.001230043,0.0003368297,0.3866177,0.00001832205,0.002053285,0.009231865],"study_design_scores_gemma":[0.00009031608,0.00003865514,0.9116772,0.00009882852,0.00001286782,0.0001296164,0.001419954,0.002402148,0.05304291,0.00009401417,0.03082674,0.0001666776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848986,0.004783595,5.445474e-7,0.002418278,0.00168207,0.0001343956,0.002853682,0.00002002606,0.003208779],"genre_scores_gemma":[0.9973239,0.000109671,0.00001255692,0.0003596371,0.0001893119,7.710037e-7,0.0001000092,0.000002309358,0.001901881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3335747,"threshold_uncertainty_score":0.9995909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222828999633921,"score_gpt":0.2422948581590088,"score_spread":0.2300665681626696,"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."}}