{"id":"W4244445808","doi":"10.3386/w23475","title":"Insurgent Learning","year":2017,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.001631307,0.001071175,0.001477631,0.001162221,0.001589491,0.002924192,0.0032179,0.004797867,0.04330409],"category_scores_gemma":[0.01012794,0.0006277526,0.0009215815,0.001126064,0.002424551,0.00357797,0.002492564,0.003788735,0.003576247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002486551,"about_ca_system_score_gemma":0.002189514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132041,"about_ca_topic_score_gemma":0.01423999,"domain_scores_codex":[0.9991183,0.0002408064,0.0000285302,0.0002116961,0.00008227869,0.0003183835],"domain_scores_gemma":[0.995234,0.002448048,0.001058201,0.0001757977,0.0002861623,0.0007978885],"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":[0.0005539178,0.0009918388,0.02760889,0.0002804202,0.0001793162,0.001733607,0.002013786,0.4401664,0.0005968604,0.4761236,0.0174259,0.03232551],"study_design_scores_gemma":[0.000365786,0.0003004962,0.004537452,0.00008660176,0.00007432931,0.0003108546,0.001324598,0.7118574,0.000165689,0.2698807,0.01102011,0.00007587473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6174608,0.001718129,0.1631152,0.03177977,0.0003566838,0.0004785678,0.003969165,0.0006578131,0.1804639],"genre_scores_gemma":[0.9392341,0.000685618,0.003886456,0.0005989441,0.0001163878,0.0002364596,0.0007898978,0.00004704828,0.05440516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04330409,"threshold_uncertainty_score":0.1448666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5497155183391782,"score_gpt":0.610542082232345,"score_spread":0.06082656389316676,"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."}}