{"id":"W4408995385","doi":"10.22541/essoar.174341374.44392023/v1","title":"Relationships Between Permafrost Distribution and Surface Conditions Along the Hudson Bay Railway Evaluated Using Electrical Resistivity Tomography","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Permafrost; Electrical resistivity tomography; Bay; Electrical resistivity and conductivity; Tomography; Distribution (mathematics); Geology; Surface (topology); Environmental science; Soil science; Oceanography; Engineering; Geometry; Electrical engineering; Physics; Mathematics; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001618832,0.0001634256,0.0001213616,0.0007232956,0.0002248381,0.0004995084,0.0001927023,0.0001468333,0.0006199093],"category_scores_gemma":[0.0007795198,0.0001466679,0.00008689881,0.0008008048,0.0003486962,0.0002243659,0.000250434,0.0001424362,0.00007212547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008460818,"about_ca_system_score_gemma":0.0005911906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.298979,"about_ca_topic_score_gemma":0.4655137,"domain_scores_codex":[0.9998907,0.00001643432,0.000008111793,0.00003014058,0.00002549289,0.00002911813],"domain_scores_gemma":[0.9995647,0.00009313918,0.0001123118,0.00002503095,0.0001505219,0.0000542913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004886826,0.00001676247,0.9940768,0.00000384361,0.0000115022,0.0001101984,0.0001867142,0.001084388,0.00185947,0.00003223535,0.00006957812,0.002499503],"study_design_scores_gemma":[0.000002274744,0.00001149413,0.9963596,0.000002210164,0.000003561399,0.00002573183,0.0003594744,0.002944598,0.0001964604,0.00001160935,0.00008035882,0.000002538682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995542,0.000007827291,0.00006554391,0.000006051196,5.26528e-7,0.000002123169,0.0001348995,0.000005519638,0.0002232983],"genre_scores_gemma":[0.999627,0.000011857,0.00009920964,0.000002291584,4.356442e-7,0.000001487034,0.0001364075,0.000001110629,0.0001201138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7010211,"threshold_uncertainty_score":0.5944774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08956543304951231,"score_gpt":0.3048142874216696,"score_spread":0.2152488543721573,"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."}}