{"id":"W3167815843","doi":"10.6000/1929-4409.2021.10.66","title":"Impact of an Infrastructure Development Policy on Health, Poverty & Crime Actions in Indonesia (Case Study in Majalengka District)","year":2021,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Toll; Poverty; Life expectancy; Population; Socioeconomics; Death toll; Welfare; Demography; Geography; Sociology; Economics; Economic growth; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008295611,0.0001896699,0.0002219021,0.0005332487,0.002554713,0.002166693,0.0009261391,0.001178522,0.004389872],"category_scores_gemma":[0.001017275,0.0002359695,0.0003514019,0.0005732447,0.001496533,0.0007899036,0.00244717,0.001571848,0.0002306896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006280205,"about_ca_system_score_gemma":0.006694243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05846629,"about_ca_topic_score_gemma":0.08726195,"domain_scores_codex":[0.9989723,0.0004289437,0.00003126078,0.00004189578,0.00005816859,0.0004674202],"domain_scores_gemma":[0.9991584,0.0001688433,0.0001245503,0.00002512371,0.00006754636,0.0004555053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001119241,0.007965893,0.5404575,0.001569264,0.0002245311,0.09765437,0.06946474,0.01751744,0.005804409,0.09031893,0.03360127,0.1343024],"study_design_scores_gemma":[0.0001780227,0.001489254,0.6502137,0.0009775771,0.0002062907,0.006656713,0.2765074,0.009907064,0.001941376,0.006002343,0.04582017,0.0001001372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713966,0.0002556986,0.0001522734,0.004206983,0.00002533391,0.00009655887,0.0001488896,0.00001220271,0.02370538],"genre_scores_gemma":[0.9961191,0.0002576,0.0001810779,0.0003319747,0.00001039546,0.00004800902,0.00003766668,0.000002477913,0.003011677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05846629,"threshold_uncertainty_score":0.1162519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06251480559639083,"score_gpt":0.4128866689188165,"score_spread":0.3503718633224256,"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."}}