{"id":"W225150625","doi":"","title":"CAPABILITY CHALLENGES IN THE HUMAN DOMAIN FOR INTELLIGENCE ANALYSIS: REPORT ON COMMUNITY-WIDE DISCUSSIONS WITH CANADIAN INTELLIGENCE PROFESSIONALS","year":2012,"lang":"en","type":"article","venue":"","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Focus group; Psychology; Knowledge management; Professionalization; Set (abstract data type); Public relations; Human intelligence; Political science; Sociology; Computer science; Business; Marketing; Social science","routes":{"ca_aff":false,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01301955,0.0002818476,0.0004043659,0.0004491528,0.002601393,0.0001062017,0.001371845,0.0002245471,0.0003370482],"category_scores_gemma":[0.001190043,0.0001628293,0.0001808542,0.001487285,0.0008015032,0.0003686759,0.00006732219,0.0008839278,0.00002876065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004359047,"about_ca_system_score_gemma":0.0005739573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3421825,"about_ca_topic_score_gemma":0.9691345,"domain_scores_codex":[0.9945502,0.002486818,0.0006686178,0.0004134628,0.000778594,0.00110231],"domain_scores_gemma":[0.9956755,0.002259898,0.0002109961,0.001124703,0.0002760894,0.000452794],"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":[0.00001957499,0.0009405682,0.05340409,0.0000321635,0.0001164365,0.00001652282,0.1722189,0.0000690468,0.000002486926,0.7711828,0.0001754001,0.001821999],"study_design_scores_gemma":[0.00005266628,0.0002656682,0.0669738,0.0001528571,0.0001612411,0.000008382074,0.8164695,0.00003378186,0.0004283731,0.1048654,0.009987244,0.0006010322],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7099447,0.000510743,0.005820309,0.03668978,0.0004162008,0.00400037,0.000051023,0.0001406513,0.2424262],"genre_scores_gemma":[0.9973164,0.00007747592,0.00071551,0.0006209423,0.0001384525,0.0003851496,0.00003715778,0.00001663795,0.0006923343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6663173,"threshold_uncertainty_score":0.9986971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1375343310638975,"score_gpt":0.4092496592870832,"score_spread":0.2717153282231857,"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."}}