{"id":"W3027389537","doi":"10.1080/02684527.2020.1768477","title":"The third eye: Canada’s development of autonomous signals intelligence to contribute to Five Eyes intelligence sharing","year":2020,"lang":"en","type":"article","venue":"Intelligence & National Security","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mindset; Negotiation; General partnership; Intelligence analysis; Framing (construction); Context (archaeology); Political science; Public relations; Sociology; Artificial intelligence; Engineering; Law; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003396737,0.0005415041,0.0006255979,0.0002143364,0.001694713,0.0003700051,0.003490078,0.0002525639,0.0003853023],"category_scores_gemma":[0.008273622,0.0005072235,0.0001964216,0.002108927,0.0004977203,0.0003997458,0.0007397321,0.0007189631,0.0004558678],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648222,"about_ca_system_score_gemma":0.007479517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1216067,"about_ca_topic_score_gemma":0.5323557,"domain_scores_codex":[0.9922315,0.0003298899,0.001880192,0.001164911,0.003069918,0.001323537],"domain_scores_gemma":[0.9931566,0.001785066,0.000499149,0.0004426679,0.002994596,0.001121995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002215528,0.0001670261,0.0005876219,0.0000667132,0.0001580406,0.00002742827,0.08501282,0.01549189,0.00024393,0.8607098,0.002566316,0.03474681],"study_design_scores_gemma":[0.00007678514,0.0005127161,0.000721308,0.0004043192,0.0000572529,0.000006248852,0.07207566,0.01118593,0.3251095,0.2568867,0.3306601,0.002303472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1832752,0.003463754,0.6388469,0.08755003,0.005755316,0.009112683,0.001048943,0.0008881578,0.0700591],"genre_scores_gemma":[0.9938589,0.0001765996,0.002461465,0.002525004,0.0004604393,0.0001440397,0.00001983586,0.00003560697,0.0003180882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8105838,"threshold_uncertainty_score":0.9997379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305964376452834,"score_gpt":0.338778591556417,"score_spread":0.2957189477918887,"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."}}