{"id":"W2140963938","doi":"10.1017/s0032247414000746","title":"Misinterpretation and obfuscation","year":2014,"lang":"en","type":"article","venue":"Polar Record","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Section (typography); History; Order (exchange); Lying; Classics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002154958,0.00003020342,0.00004550341,0.00002057164,0.0002997475,0.00002144633,0.00003497312,0.00002434798,0.00003398014],"category_scores_gemma":[0.0002338873,0.00002675783,0.00001304026,0.00004266692,0.00009557702,0.00007415561,0.00001128314,0.00002859526,0.00004353963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001573449,"about_ca_system_score_gemma":0.00001102502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005127058,"about_ca_topic_score_gemma":0.002926552,"domain_scores_codex":[0.9996407,0.00007969298,0.00005410312,0.00006968374,0.00006396578,0.00009187061],"domain_scores_gemma":[0.9998084,0.0000672633,0.00002789625,0.00004148441,0.00001575267,0.00003925932],"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":[0.000009012852,0.00001482288,0.1131872,0.00001276592,0.00001712577,1.539082e-7,0.0415224,1.275688e-7,0.00004921601,0.1776337,0.01065955,0.656894],"study_design_scores_gemma":[0.00007853549,0.00002478845,0.07884323,0.00001119992,0.000009355247,3.304234e-7,0.00156198,0.0001125311,0.00001293338,0.02017493,0.8990966,0.00007358691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2918049,0.0003927628,0.008415515,0.04303878,0.000568121,0.0001825291,0.000002210465,0.0001205276,0.6554747],"genre_scores_gemma":[0.9962059,0.0001593431,0.0007939494,0.0003324893,0.0002096238,0.000002306205,6.568599e-7,0.000002831553,0.002292885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.888437,"threshold_uncertainty_score":0.7750612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015488280336223,"score_gpt":0.304183101889839,"score_spread":0.288694821553616,"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."}}