{"id":"W2028009610","doi":"10.3167/fcl.2008.510109","title":"A geography of debauchery","year":2008,"lang":"en","type":"article","venue":"Focaal","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University","keywords":"Polity; Ethnography; State (computer science); European union; Population; Sociology; Political science; Political economy; Human geography; Economic geography; Economy; Geography; Social science; Law; Anthropology; Politics; Economics; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001633021,0.00003038484,0.00006547416,0.00003706667,0.0001887144,0.000004318386,0.00008506044,0.00004199912,0.0003919175],"category_scores_gemma":[0.00003740697,0.00003064307,0.00005668281,0.0001190813,0.0001870331,0.00009177401,0.000007573716,0.00003177199,0.00004048601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008849252,"about_ca_system_score_gemma":0.00007462492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004505892,"about_ca_topic_score_gemma":0.004565896,"domain_scores_codex":[0.9995998,0.0000359151,0.00009057693,0.00006768023,0.00009381802,0.0001122077],"domain_scores_gemma":[0.9997881,0.0000309135,0.00003532971,0.00006589715,0.00003618211,0.00004356272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001000764,0.00008501776,0.9112884,0.000007329541,0.0000212058,0.000002841509,0.06053981,0.00000598895,0.00007348429,0.008775561,0.01719147,0.001998852],"study_design_scores_gemma":[0.0003058497,0.00007164456,0.7863839,0.000009208632,0.00001136199,0.000002239998,0.00407403,0.00002747233,0.0007082655,0.005651273,0.2025621,0.0001926378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9110015,0.0001644382,0.0001244657,0.0001734927,0.0001135258,0.00004876714,0.000001553779,0.00002236574,0.08834989],"genre_scores_gemma":[0.9984344,0.0001468501,0.0002107083,0.00007054168,0.00016923,0.000003237579,0.000001232402,0.000002241773,0.000961543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1853706,"threshold_uncertainty_score":0.6811591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116529702781556,"score_gpt":0.2758716959802449,"score_spread":0.2447063989524293,"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."}}