{"id":"W2903928752","doi":"10.1002/9781118476406.emoe504","title":"Resource Development in Arctic Regions","year":2018,"lang":"en","type":"other","venue":"Encyclopedia of Maritime and Offshore Engineering","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Serviceability (structure); Terrain; Arctic; Environmental science; Civil engineering; Engineering; Permafrost; Resource (disambiguation); Environmental resource management; Computer science; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001249412,0.0004385235,0.0005313255,0.0008397478,0.00001531989,0.00001414307,0.0002543381,0.0004709198,0.0001818425],"category_scores_gemma":[0.00007764123,0.0004855393,0.00005420959,0.0003034695,0.00006877373,0.00004044606,0.000106846,0.0003850574,0.00003573267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006473006,"about_ca_system_score_gemma":0.00002282146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002178571,"about_ca_topic_score_gemma":0.00007257665,"domain_scores_codex":[0.9986911,0.000007134493,0.0004060401,0.000300731,0.000176622,0.0004183921],"domain_scores_gemma":[0.9994279,0.00007182525,0.00004467978,0.0003543749,0.0000137161,0.00008754843],"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":[0.00001436778,0.0001211203,0.004732685,0.0078223,0.0006428824,0.0002038822,0.0009049569,0.01011056,0.00010278,0.003390552,0.9128619,0.05909196],"study_design_scores_gemma":[0.0001954484,0.0000240104,0.001213539,0.001276287,0.00002150151,0.00001227748,0.00002905818,0.002246604,0.0001513209,0.00002490771,0.9942731,0.0005319572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003954508,0.01525716,0.004844551,0.00004475653,0.001083784,0.0005705516,0.00002957632,0.003812795,0.9704023],"genre_scores_gemma":[0.1957299,0.02951645,0.1234797,0.00003536751,0.003131804,0.0005641509,0.000422074,0.00587833,0.6412422],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3291601,"threshold_uncertainty_score":0.9997596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004801122093342563,"score_gpt":0.1780062671672683,"score_spread":0.1732051450739257,"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."}}