{"id":"W2891124358","doi":"","title":"Third Prize: A Victory, a Loss, or a Draw?: Assessing the efficacy of the FBI’s COINTELPRO methods against the Black Panther Party in Chicago","year":2018,"lang":"en","type":"article","venue":"Journal of military and strategic studies","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Victory; Control (management); Limit (mathematics); Political science; Order (exchange); Operations research; Law; Computer science; Engineering; Business; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006283308,0.0002091434,0.0004943323,0.00006175414,0.001037234,0.000055742,0.0007114911,0.0001072363,0.0000424397],"category_scores_gemma":[0.001452471,0.00008251333,0.000204145,0.0005314442,0.005518941,0.0002287208,0.0001327624,0.0006521103,0.000002000608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007007965,"about_ca_system_score_gemma":0.0006275266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003895402,"about_ca_topic_score_gemma":0.005483869,"domain_scores_codex":[0.9958236,0.002278408,0.0007893546,0.0001975429,0.0005387026,0.0003724443],"domain_scores_gemma":[0.9962974,0.002462066,0.0004339704,0.0002706222,0.0004733883,0.00006262229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001234871,0.0008679309,0.01598386,0.0002652229,0.001779867,0.0001468798,0.9046869,0.0001152616,0.001204737,0.05771032,0.003092675,0.01291143],"study_design_scores_gemma":[0.00101612,0.0008658356,0.05043033,0.0008793839,0.000264576,0.00006785408,0.8385836,0.0003266038,0.0006933656,0.09599211,0.01051489,0.0003653681],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617611,0.0155421,0.00003617544,0.006079685,0.0006713024,0.0004000241,0.000003450639,0.000008033144,0.01549816],"genre_scores_gemma":[0.9909852,0.00741491,0.0005126802,0.0003085038,0.0005602551,0.000004618674,8.548459e-8,0.000008701178,0.0002051087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06610339,"threshold_uncertainty_score":0.9971875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071318058578392,"score_gpt":0.4278940768969454,"score_spread":0.3207622710391062,"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."}}