{"id":"W2324108150","doi":"10.1080/08865655.2015.1101704","title":"Informality, Illegality, and Criminality in Mexico's Border Communities","year":2015,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfeit; Exploit; Enforcement; Organised crime; Business; Intellectual property; Intermediary; Informal sector; State (computer science); Property crime; International trade; Criminology; Economics; Economic growth; Law; Political science; Computer security; Violent crime; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002917638,0.0001345827,0.0004732335,0.000122995,0.0003176277,0.0000951606,0.000230205,0.00006939362,0.00001285339],"category_scores_gemma":[0.0009118374,0.0001101012,0.00006650782,0.0002007215,0.0006621726,0.0008120741,0.0001532946,0.0003123622,8.735851e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790882,"about_ca_system_score_gemma":0.0003193223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01567833,"about_ca_topic_score_gemma":0.07216883,"domain_scores_codex":[0.9982267,0.0002956135,0.0005104642,0.00006902175,0.0006118809,0.0002863167],"domain_scores_gemma":[0.9983454,0.0003825134,0.0003967262,0.000121751,0.0006219395,0.0001316698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002387261,0.000194015,0.4501039,0.00009728827,0.000191475,0.00003382813,0.5142955,0.00004266189,0.000001556222,0.01315409,0.01581433,0.005832621],"study_design_scores_gemma":[0.001506662,0.0002830425,0.0614481,0.0001643336,0.00005252294,0.00002188151,0.660984,0.00001253479,0.00001630233,0.011846,0.2634238,0.0002408263],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953882,0.01332646,0.00003317252,0.00543149,0.0006312403,0.00009431895,0.00000947454,0.00001341602,0.02657842],"genre_scores_gemma":[0.9906711,0.007934174,0.000177745,0.0003777243,0.0002401686,0.000002666072,5.533833e-7,0.000006251449,0.0005895984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3886558,"threshold_uncertainty_score":0.9908764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233650701949594,"score_gpt":0.4092936032637562,"score_spread":0.2859285330687968,"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."}}