{"id":"W2982277377","doi":"10.4095/215482","title":"Digital summary database of permafrost and thermal conditions - Norman Wells pipeline study sites","year":2004,"lang":"en","type":"report","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Permafrost; Pipeline (software); Database; Petroleum engineering; Geology; Hydrology (agriculture); Computer science; Oceanography; Geotechnical engineering; Operating system","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":[0.0005941063,0.0005430761,0.0005614809,0.004389448,0.0004527298,0.001120466,0.001089593,0.0002749586,0.107012],"category_scores_gemma":[0.003174629,0.0002491845,0.0001464009,0.01071935,0.00009946268,0.0007679705,0.0003929606,0.0002115595,0.0316554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115297,"about_ca_system_score_gemma":0.002788489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09334135,"about_ca_topic_score_gemma":0.1456246,"domain_scores_codex":[0.9994231,0.00004580066,0.0001013377,0.0000978793,0.0002905998,0.0000411772],"domain_scores_gemma":[0.9961444,0.000576999,0.000429707,0.0004109103,0.002225662,0.000212312],"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":[0.0002530368,0.0001048028,0.02123856,0.001082728,0.00002752745,0.0001989948,0.0002104983,0.001763918,0.001322993,0.001493178,0.8767483,0.09555547],"study_design_scores_gemma":[0.00006415057,0.00004015654,0.05718255,0.0001765003,0.00002612473,0.0001719591,0.0004344496,0.001408327,0.001554613,0.0005679578,0.9383326,0.0000406216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003417474,0.00009478622,0.0005389157,0.00005688532,0.00001409652,0.00008726538,0.9849191,0.0003825014,0.01048892],"genre_scores_gemma":[0.006327342,0.0002131952,0.001283425,0.00002058499,0.000006786994,0.0001765368,0.9834894,0.00006757444,0.008415137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9066586,"threshold_uncertainty_score":0.3579907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650550062485224,"score_gpt":0.2433819259183222,"score_spread":0.22687642529347,"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."}}