{"id":"W4391505755","doi":"10.5194/tc-18-489-2024","title":"Non-destructive multi-sensor core logging allows for rapid imaging and estimation of frozen bulk density and volumetric ice content in permafrost cores","year":2024,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon University; University of Alberta","funders":"","keywords":"Permafrost; Geology; Core (optical fiber); Ice core; Logging; Remote sensing; Soil science; Materials science; Climatology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002716333,0.0001562187,0.0002254341,0.00006441194,0.0001429712,0.0001080955,0.00009401215,0.00005532589,0.0002788272],"category_scores_gemma":[0.00003543438,0.0001160547,0.00004569493,0.0001960011,0.0001682279,0.0001727592,0.00002615651,0.0001343177,0.00001085322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009701851,"about_ca_system_score_gemma":0.00002370666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00906135,"about_ca_topic_score_gemma":0.02827878,"domain_scores_codex":[0.9990892,0.0000271241,0.0002265732,0.0002931534,0.0001252585,0.0002386969],"domain_scores_gemma":[0.9992439,0.0004454667,0.00007148772,0.0001198433,0.00005109328,0.00006823074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009242973,0.00001159261,0.952839,0.0002559451,0.00002356321,0.00002180696,0.002502137,0.0003939637,0.001293445,0.00001309053,0.0003017207,0.04225134],"study_design_scores_gemma":[0.0003832334,0.0000456526,0.5983966,0.00009091586,0.0000299721,0.00003416964,0.001617925,0.3988819,0.00004785897,0.0001515008,0.0002119462,0.0001083084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896907,0.007047353,0.000424768,0.0001596972,0.0002774603,0.0004758674,0.001765423,0.00002240167,0.000136311],"genre_scores_gemma":[0.9979962,0.0003301051,0.0008141788,0.000131765,0.00006644674,0.000005252813,0.0005109664,0.000008596237,0.0001365643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3984879,"threshold_uncertainty_score":0.9975374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04708410045102896,"score_gpt":0.2599057178799568,"score_spread":0.2128216174289278,"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."}}