{"id":"W2804331823","doi":"10.1037/amp0000257","title":"Terrorist teams as loosely coupled systems.","year":2018,"lang":"en","type":"review","venue":"American Psychologist","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Terrorism; PsycINFO; Extant taxon; Leverage (statistics); Loose coupling; Psychology; Computer security; Social psychology; Political science; Computer science; Law; MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001354952,0.000900021,0.002715055,0.0002882966,0.0007201029,0.0003932507,0.002295145,0.0006330428,0.0004498813],"category_scores_gemma":[0.0005327485,0.0007489388,0.0008072575,0.001211709,0.007157133,0.000185135,0.0001420808,0.0009094583,0.006419991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007032467,"about_ca_system_score_gemma":0.000989912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03254676,"about_ca_topic_score_gemma":0.0007098263,"domain_scores_codex":[0.993288,0.001403734,0.001272198,0.001460039,0.0009414528,0.001634601],"domain_scores_gemma":[0.9957176,0.0005711194,0.001291646,0.001449795,0.0002156105,0.0007542124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002287805,0.0002843112,0.00005196782,0.001525868,0.0002693745,0.000139391,0.008119502,5.907045e-8,8.71116e-8,0.001209857,0.06733255,0.9210442],"study_design_scores_gemma":[0.0001270041,0.0004023308,0.00001765864,0.003403913,0.0003465199,0.00004797546,0.03279327,0.000001901094,1.435159e-8,0.00006648432,0.9619179,0.0008750429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002016161,0.9451634,0.0001880411,0.0004094503,0.005941694,0.001327628,0.0001680394,0.0005520029,0.04604817],"genre_scores_gemma":[0.01807669,0.9695592,0.00002491235,0.000952445,0.003635458,0.0003382873,0.00007820669,0.0001238734,0.007210955],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9201691,"threshold_uncertainty_score":0.9994962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06574196380471742,"score_gpt":0.4612735540105952,"score_spread":0.3955315902058777,"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."}}