{"id":"W4238668407","doi":"10.1017/s0953820817000085","title":"UTI volume 29 issue 2 Cover and Front matter","year":2017,"lang":"en","type":"article","venue":"Utilitas","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of North Carolina at Chapel Hill; Göteborgs Universitet; Institució Catalana de Recerca i Estudis Avançats; University of Oxford; University of Cambridge; University of St Andrews; McDonnell Center for Systems Neuroscience; University of Missouri; University of East Anglia; University of Toronto; National University of Singapore; University College London; London School of Economics and Political Science; Saint Louis University; York University; Tulane University; University of Otago; Queen Mary University of London; Florida State University","keywords":"Front cover; Cover (algebra); Front (military); Volume (thermodynamics); Action (physics); Environmental science; Geography; Meteorology; Physics; Engineering; Thermodynamics; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002024654,0.00006837994,0.0001118713,0.00001375469,0.001665761,0.0000930544,0.0001812282,0.0000550019,0.007727527],"category_scores_gemma":[0.0001594994,0.00005578942,0.00003083331,0.00000972985,0.0008475671,0.0001597116,0.0001315133,0.0000605324,0.008054188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002422578,"about_ca_system_score_gemma":0.00002839109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01116163,"about_ca_topic_score_gemma":0.0007439411,"domain_scores_codex":[0.9993604,0.00004065902,0.00007718181,0.0001481241,0.0001333295,0.0002403151],"domain_scores_gemma":[0.9995776,0.00003205657,0.00004662303,0.0002385925,0.00001883654,0.00008628234],"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":[0.000005077012,0.00001038085,0.1643638,0.000007320026,0.00002162168,0.000002944503,0.0160472,2.74215e-8,9.218114e-7,0.002447163,0.8144604,0.002633146],"study_design_scores_gemma":[0.0000678218,0.000006489196,0.3121908,0.00000571279,0.000008382463,2.806595e-7,0.001455433,0.000004974782,0.000001555502,0.001909688,0.6842937,0.00005517165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01995898,0.0005479771,0.0000183719,0.05961285,0.0003014488,0.0001029948,0.00001397348,0.00002404354,0.9194193],"genre_scores_gemma":[0.7212113,0.00008833504,0.00009120524,0.0007002957,0.0003277337,0.000003498033,3.167302e-7,0.000003957306,0.2775734],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7012523,"threshold_uncertainty_score":0.9996339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675724288130515,"score_gpt":0.3265337810120632,"score_spread":0.2997765381307581,"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."}}