{"id":"W4308640611","doi":"10.33645/cnc.2022.10.44.10.1177","title":"A Study on Influence of Different Systems in Foreigner’s Home Country on Crime","year":2022,"lang":"en","type":"article","venue":"","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commit; China; Crime rate; Aside; Political science; Development economics; Economy; Economics; Criminology; Sociology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006882783,0.0002199993,0.0001876355,0.0006873737,0.001158234,0.001130685,0.0002593503,0.0002526064,0.003298432],"category_scores_gemma":[0.002951194,0.0001123726,0.0004077555,0.0005849757,0.0006666937,0.0006074226,0.0007847979,0.000564654,0.0001537414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009530985,"about_ca_system_score_gemma":0.001048787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01746628,"about_ca_topic_score_gemma":0.02807323,"domain_scores_codex":[0.9991488,0.0004181901,0.00004739097,0.0001013266,0.00009971259,0.0001845348],"domain_scores_gemma":[0.9977337,0.00059737,0.0008390917,0.00009958067,0.0002849025,0.0004453368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001058267,0.0002824631,0.9741427,0.00006385702,0.000108687,0.0004025455,0.007123028,0.00006278558,0.0001619494,0.001040024,0.0004408299,0.01606536],"study_design_scores_gemma":[0.000004625216,0.0001087717,0.9782657,0.00006444209,0.00005428411,0.0001823344,0.0194927,0.00009663945,0.0001292832,0.00009802799,0.001495817,0.000007245498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972979,0.0001989258,0.00004452958,0.0001323739,0.000008685434,0.00000633122,0.00003088238,9.359073e-7,0.0022794],"genre_scores_gemma":[0.9991223,0.0002133565,0.00005630432,0.00003568154,0.000005865847,0.000005378176,0.00003736795,0.00000110377,0.000522739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01746628,"threshold_uncertainty_score":0.03472924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05690090123747034,"score_gpt":0.3631657052981888,"score_spread":0.3062648040607185,"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."}}