{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000577328,0.0002780617,0.000145242,0.001611907,0.001546177,0.001689924,0.0003397388,0.0002182427,0.008924338],"category_scores_gemma":[0.0009406749,0.0000868573,0.0002561676,0.002536818,0.0003696088,0.000621209,0.001902896,0.0003612004,0.001061827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002369225,"about_ca_system_score_gemma":0.00504005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08975939,"about_ca_topic_score_gemma":0.1422332,"domain_scores_codex":[0.9994389,0.000134409,0.00002498449,0.00005359839,0.0001084285,0.0002396102],"domain_scores_gemma":[0.9993316,0.00006905089,0.0001331105,0.00002875852,0.0002483511,0.0001892125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002628765,0.0001649946,0.2066979,0.001255766,0.0002136347,0.005028856,0.007505117,0.01381064,0.003876053,0.2348459,0.05727675,0.4690616],"study_design_scores_gemma":[0.00001570008,0.0001250481,0.2176612,0.001011115,0.00006690899,0.001784572,0.01797956,0.005600163,0.001932649,0.01812284,0.7356455,0.0000548309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4872321,0.01003025,0.006474367,0.006174009,0.0003847354,0.0001050911,0.009799954,0.000188109,0.4796115],"genre_scores_gemma":[0.9615417,0.006327923,0.00495889,0.0003593928,0.00005662814,0.00008112998,0.002785875,0.00003601798,0.0238525],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08975939,"threshold_uncertainty_score":0.1784739,"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."}}