{"id":"W7131433221","doi":"10.33137/ic.v39i1.46582","title":"Gunn, Genni. The Cipher","year":2025,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000474282,0.0008491057,0.0004436279,0.001463773,0.001831027,0.003050614,0.000573592,0.002414259,0.3117997],"category_scores_gemma":[0.001828265,0.0002722353,0.0002316816,0.002543407,0.001390006,0.002812959,0.001654029,0.002456961,0.1810433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001977545,"about_ca_system_score_gemma":0.001210361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01528199,"about_ca_topic_score_gemma":0.02356788,"domain_scores_codex":[0.9995887,0.00009285133,0.00002096882,0.00009842921,0.0001274799,0.00007153035],"domain_scores_gemma":[0.9996325,0.0001062057,0.00005148867,0.00006048869,0.00007670091,0.00007255383],"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":[0.00002860587,0.000005010377,0.0001045415,0.00007036644,0.000002430224,0.00003765945,0.00007731596,0.00005890173,0.00005230816,0.04350266,0.9005957,0.05546456],"study_design_scores_gemma":[0.000004695245,0.000002973615,0.0001441168,0.0000689981,0.000001252139,0.00003627978,0.00004130368,0.00002183495,0.00002680082,0.004732109,0.9949173,0.00000247029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0005876577,0.04373549,0.0006340437,0.03287316,0.01297183,0.00002223444,0.001235671,0.0004531781,0.9074867],"genre_scores_gemma":[0.01187585,0.01614651,0.0004055598,0.005190564,0.00304729,0.00003757379,0.0003990428,0.0004642482,0.9624334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3117997,"threshold_uncertainty_score":0.9816341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140446216787923,"score_gpt":0.3242806148788303,"score_spread":0.310235993200038,"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."}}