{"id":"W3107379256","doi":"10.1201/9781003078173-18","title":"Geotechnical microzonation in the Arctic related to climate warming","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Arctic; Geology; Geotechnical engineering; The arctic; Environmental science; Oceanography","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":[0.0002435903,0.0002032298,0.00008557509,0.001400006,0.0005220457,0.00098418,0.000199828,0.0003030991,0.002777653],"category_scores_gemma":[0.0004968016,0.0001295695,0.0001586975,0.001637665,0.0005921913,0.0004799883,0.0004465637,0.0002739449,0.0004321443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009917789,"about_ca_system_score_gemma":0.0005891403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01874995,"about_ca_topic_score_gemma":0.06560615,"domain_scores_codex":[0.9998609,0.00003031405,0.000007332888,0.0000182913,0.00006143003,0.00002173685],"domain_scores_gemma":[0.9997273,0.00007862693,0.00005550206,0.00001590127,0.000102983,0.00001965342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001318068,0.00007227239,0.1613139,0.0005209486,0.00007055949,0.00189497,0.008111089,0.06373803,0.03424183,0.09094159,0.007769099,0.6311941],"study_design_scores_gemma":[0.000002354894,0.0001802601,0.7447482,0.0002358103,0.00005279977,0.002289383,0.00530938,0.01315501,0.01137142,0.03973585,0.1828628,0.0000568305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5921564,0.01365916,0.02253221,0.001241905,0.000345212,0.00004876675,0.0004115937,0.0001755549,0.3694293],"genre_scores_gemma":[0.9073993,0.0114284,0.005081778,0.0001330434,0.0001436353,0.00001510297,0.0003245207,0.00004414485,0.07543018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01874995,"threshold_uncertainty_score":0.03728163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078999099663759,"score_gpt":0.2125445763182069,"score_spread":0.1817545853215693,"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."}}