{"id":"W7135856811","doi":"","title":"Obstinate Choices: Understanding the Danish Intelligence Scandal","year":2023,"lang":"en","type":"other","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Danish; Subject (documents); Interpretation (philosophy)","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":[0.009594058,0.0009230957,0.0005811778,0.003382521,0.01995553,0.03444253,0.002208151,0.007996256,0.005932332],"category_scores_gemma":[0.0110896,0.0009182649,0.0005598606,0.003519269,0.03602083,0.01364276,0.01009063,0.005015617,0.001165374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01979647,"about_ca_system_score_gemma":0.009098079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1050397,"about_ca_topic_score_gemma":0.117944,"domain_scores_codex":[0.9876593,0.006411828,0.0005468327,0.001329119,0.002149874,0.001903139],"domain_scores_gemma":[0.9932024,0.004240553,0.0009240515,0.0004153117,0.0006239224,0.0005936812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003548958,0.00001933984,0.002352617,0.0001088427,0.00001426262,0.001065942,0.1939215,0.0004488214,0.000104151,0.7890088,0.008803165,0.004117036],"study_design_scores_gemma":[0.00001634563,0.00001791171,0.004508402,0.0009431617,0.00002704951,0.0006067759,0.4426533,0.0009402537,0.0002469811,0.1432574,0.4066855,0.00009688057],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.129042,0.009379008,0.004694092,0.03577136,0.0007176066,0.0000479285,0.000316526,0.00003323424,0.8199982],"genre_scores_gemma":[0.9746235,0.002760335,0.001040733,0.00206624,0.00007789279,0.00002795655,0.0001378866,0.00006476319,0.01920084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1050397,"threshold_uncertainty_score":0.2088566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1469058117830906,"score_gpt":0.3164264530235724,"score_spread":0.1695206412404818,"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."}}