{"id":"W4399430949","doi":"10.52381/icop2024.74.01","title":"Ground temperature monitoring and permafrost distribution mapping, Coffee Mine Project, Yukon","year":2024,"lang":"en","type":"report","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tetra Tech (Canada)","funders":"Goldcorp","keywords":"Permafrost; Geology; Borehole; Overburden; Bedrock; Landform; Drilling; Topographic Wetness Index; Frost heaving; Coring; Digital elevation model; Terrain; Elevation (ballistics); Hydrology (agriculture); Geomorphology; Geotechnical engineering; Remote sensing; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002836053,0.0002822799,0.0001846764,0.0006713824,0.000807731,0.0006026651,0.0004480009,0.0003257099,0.0007905697],"category_scores_gemma":[0.0002656889,0.0002227931,0.000216394,0.001159948,0.0002596217,0.0002886494,0.0003977692,0.0001764099,0.0002457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766451,"about_ca_system_score_gemma":0.003448248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3677343,"about_ca_topic_score_gemma":0.6846409,"domain_scores_codex":[0.9998401,0.00001430833,0.000007723375,0.00005043819,0.00005533823,0.00003198949],"domain_scores_gemma":[0.9997399,0.00001181289,0.00002988697,0.00002470992,0.000151217,0.00004236872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008700873,0.0003137453,0.7076368,0.000411382,0.0001712859,0.001773007,0.002747648,0.00929927,0.08986431,0.001366415,0.01739765,0.1681483],"study_design_scores_gemma":[0.00005837731,0.0002088663,0.9521092,0.00003533204,0.00004090208,0.0002731122,0.001997081,0.01714735,0.007930562,0.0002335961,0.01992841,0.00003729138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827162,0.0001976887,0.003713166,0.0001291803,0.00001066261,0.0001451424,0.008073636,0.0003253912,0.004688884],"genre_scores_gemma":[0.9667675,0.00018517,0.01379121,0.00003731367,0.000003454205,0.0001548888,0.01128181,0.00006204588,0.007716505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6322657,"threshold_uncertainty_score":0.7311876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06861657558721684,"score_gpt":0.290672974560262,"score_spread":0.2220563989730451,"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."}}