{"id":"W4200203233","doi":"10.1017/9781108961011","title":"Black Markets and Militants","year":2021,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Political Conflict and Governance","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Militant; Context (archaeology); Globalization; State (computer science); Political science; Politics; Political economy; Ideology; Expatriate; Development economics; Sociology; Geography; Law; Economics","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":[0.001485454,0.0004178874,0.0003001504,0.0009142952,0.008509971,0.006016625,0.0005303131,0.00184267,0.01808654],"category_scores_gemma":[0.001477869,0.0001517688,0.0001772917,0.0009073482,0.01301757,0.00464993,0.004101039,0.002864928,0.001190969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003483381,"about_ca_system_score_gemma":0.002415543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004574798,"about_ca_topic_score_gemma":0.007224907,"domain_scores_codex":[0.9991793,0.0003905239,0.000007860958,0.00006920247,0.0001233573,0.0002296836],"domain_scores_gemma":[0.9994617,0.0002144679,0.00006985961,0.00003202096,0.00005987657,0.0001620085],"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":[0.000006408912,0.00001875699,0.0001516561,0.00001415534,8.290335e-7,0.00005905667,0.004460758,0.00003339675,0.00003445524,0.9817117,0.007723435,0.005785331],"study_design_scores_gemma":[0.0000136645,0.00002301206,0.0009854425,0.0002234765,0.000002733155,0.0001251309,0.01628276,0.0002490513,0.0002206356,0.376549,0.6053166,0.000008529409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02623362,0.01318966,0.0009128958,0.02651295,0.0006333155,0.00002967768,0.00001826768,0.00001750712,0.9324521],"genre_scores_gemma":[0.6381295,0.0100488,0.0006229528,0.006620313,0.0007048331,0.0000703381,0.00001905016,0.00005337453,0.3437309],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01808654,"threshold_uncertainty_score":0.06050557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428116432359822,"score_gpt":0.2384661275370482,"score_spread":0.21418496321345,"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."}}