{"id":"W4376118411","doi":"10.5194/egusphere-2023-571","title":"Non-destructive multi-sensor core logging allows rapid imaging, measurement of bulk density and estimation of ice content in permafrost cores","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon University; University of Alberta","funders":"","keywords":"Permafrost; Attenuation; Calibration; Remote sensing; Core (optical fiber); Ice core; Geology; Bulk density; Soil science; Range (aeronautics); Materials science; Soil water; Optics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002488799,0.0002948469,0.0002022791,0.0006850185,0.0002287927,0.000265204,0.0002665821,0.0001855614,0.001508136],"category_scores_gemma":[0.0005216666,0.0001578659,0.0001023045,0.0004416999,0.0002683511,0.0004240642,0.0003482687,0.0001606089,0.0004620272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001706736,"about_ca_system_score_gemma":0.0002198756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006151807,"about_ca_topic_score_gemma":0.003241268,"domain_scores_codex":[0.999843,0.00001891721,0.000007732375,0.00003699528,0.00008376432,0.000009535559],"domain_scores_gemma":[0.9996185,0.0001093082,0.0001159011,0.00005726218,0.00007708497,0.00002182338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009268653,0.00007913048,0.03280874,0.00016716,0.0000157432,0.00008933678,0.0001272367,0.001698812,0.8480271,0.0003697105,0.0003609186,0.1161634],"study_design_scores_gemma":[0.00002003826,0.0003217578,0.1797999,0.00003074144,0.00002646333,0.000874088,0.000208778,0.03109504,0.7797613,0.0007501776,0.00707127,0.00004038247],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8745213,0.0006181353,0.1171601,0.0000541129,0.00002440141,0.00009864043,0.001276429,0.0006122461,0.005634821],"genre_scores_gemma":[0.9008933,0.0003794378,0.09538884,0.00004541208,0.00001950819,0.00009686839,0.0009234118,0.00007999179,0.002173274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001508136,"threshold_uncertainty_score":0.005045235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1588781894259929,"score_gpt":0.2875120316293774,"score_spread":0.1286338422033844,"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."}}