{"id":"W2164041199","doi":"10.1017/s0032247403002997","title":"Conducting environmental analyses at remote sites in cold climates","year":2003,"lang":"en","type":"article","venue":"Polar Record","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aboriginal Affairs Northern Dev Canada; Queen's University","funders":"","keywords":"Permafrost; Environmental science; Excavation; Remote sensing; Site selection; Lead (geology); Software deployment; Engineering; Geology; Archaeology; Oceanography; Geography","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":[0.00113854,0.0004128766,0.0005464588,0.0008546314,0.002260695,0.0008540175,0.0006491001,0.0005316064,0.003042038],"category_scores_gemma":[0.0007986032,0.0002719863,0.0003009665,0.000675876,0.0006363795,0.0003955,0.000850795,0.0005128662,0.001266607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005297791,"about_ca_system_score_gemma":0.001522356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02442854,"about_ca_topic_score_gemma":0.1487105,"domain_scores_codex":[0.9989781,0.0002424404,0.00004238519,0.0002646502,0.0003419841,0.0001303947],"domain_scores_gemma":[0.999106,0.0002340112,0.0001672112,0.00008952715,0.0002751276,0.000128097],"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":[0.0004207318,0.000512754,0.1676231,0.0005839266,0.00008495892,0.001537837,0.00313199,0.00244652,0.7300884,0.0005787105,0.001073013,0.09191802],"study_design_scores_gemma":[0.00006522198,0.001978235,0.7069788,0.0003204927,0.0001517272,0.001456128,0.01040139,0.001966906,0.2473702,0.001158521,0.0280459,0.0001064641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9719011,0.0007404131,0.00995031,0.0001478592,0.00003771671,0.0003743378,0.0009961034,0.0001757976,0.01567629],"genre_scores_gemma":[0.9011509,0.001890576,0.08425719,0.0002705963,0.00006722174,0.0003987638,0.002286071,0.0001216451,0.009557151],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02442854,"threshold_uncertainty_score":0.04857272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05611333162525563,"score_gpt":0.2765512127726396,"score_spread":0.220437881147384,"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."}}