{"id":"W7092445567","doi":"10.57902/d7kg67","title":"Arctic Geospatial Data for Cold Region Transportation Infrastructure Analysis: High-Resolution LiDAR Point Clouds along the Dalton Highway, Alaska, January 2024","year":2024,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Thermokarst; Geospatial analysis; Permafrost; Lidar; The arctic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001427686,0.0005698253,0.000592094,0.0003171113,0.0002789999,0.001222016,0.001259785,0.0004734918,0.002852472],"category_scores_gemma":[0.00003812472,0.0003970014,0.0003664467,0.0009002073,0.0001700221,0.001647518,0.0001131703,0.0006429852,0.00179392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001685335,"about_ca_system_score_gemma":0.0002303384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676634,"about_ca_topic_score_gemma":0.009320432,"domain_scores_codex":[0.9971489,0.00006257374,0.000730727,0.001014411,0.000486255,0.0005571286],"domain_scores_gemma":[0.9977289,0.0003807234,0.0003125714,0.00130234,0.00003761881,0.0002378502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001953843,0.00002172388,0.02003846,0.0006248062,0.0004199937,0.0001350575,0.00002960024,0.0004217633,3.283278e-7,0.000005829587,0.9775437,0.0005633217],"study_design_scores_gemma":[0.0002589329,0.000127936,0.01407246,0.0002081251,0.001630394,0.0000239817,0.00008187207,0.002829095,0.000003175466,0.0007622982,0.9794861,0.0005155932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003496364,0.002050333,0.00008199341,0.001324145,0.00156827,0.0008074671,0.9904976,0.0001140667,0.0000597824],"genre_scores_gemma":[0.01607527,0.0008020218,0.00003629939,0.0006822818,0.001852697,0.00002126786,0.9802847,0.00002904517,0.0002164333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01257891,"threshold_uncertainty_score":0.9998482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812792826044858,"score_gpt":0.2178119544237131,"score_spread":0.1996840261632645,"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."}}