{"id":"W2258691046","doi":"10.1080/08850600490274908","title":"A Look at Intelligence Analysis","year":2004,"lang":"en","type":"article","venue":"International Journal of Intelligence and CounterIntelligence","topic":"International Relations and Foreign Policy","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rogers Communications (Canada)","funders":"","keywords":"Convention; Government (linguistics); Political science; Foreign policy; Intelligence analysis; Public administration; National security; Media studies; Library science; Management; Law; Politics; Sociology; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001060045,0.0002180307,0.0003318816,0.0009699296,0.0003067721,0.0002515141,0.001228982,0.0001358704,0.001193348],"category_scores_gemma":[0.0005451325,0.0002029806,0.0003686684,0.000792081,0.0006948227,0.0006866134,0.0001839818,0.0002905206,0.0001674445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007317452,"about_ca_system_score_gemma":0.0003745306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077867,"about_ca_topic_score_gemma":0.0009555495,"domain_scores_codex":[0.9969721,0.00007594655,0.0009881627,0.0002969127,0.001309233,0.0003576783],"domain_scores_gemma":[0.9968942,0.0002390058,0.0006119818,0.0001957992,0.001786632,0.0002723213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002485246,0.0002104759,0.007005369,0.000006574046,0.001254503,0.0001963572,0.01185384,0.01052534,0.0002177326,0.9139461,0.00006342078,0.05447176],"study_design_scores_gemma":[0.0005694667,0.0009816447,0.008245063,0.0006677443,0.0009953168,0.001263086,0.02669696,0.001825649,0.04019406,0.7951021,0.1218269,0.001632005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1207429,0.0009753745,0.8303577,0.002424545,0.001315823,0.0001955507,0.00003105004,0.00004303078,0.04391406],"genre_scores_gemma":[0.9886954,0.00632115,0.00277202,0.0005488922,0.0005133642,0.00000570767,0.000004827476,0.00001424245,0.001124408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8679525,"threshold_uncertainty_score":0.9997197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760462432249214,"score_gpt":0.3538901982800706,"score_spread":0.3262855739575785,"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."}}