{"id":"W4384108212","doi":"10.21002/jke.2022.09","title":"Hubungan Tingkat Kesejahteraan Masyarakat terhadap Jumlah Pekerja Migran Indonesia di Kab./Kota Tahun 2015-2019","year":2022,"lang":"id","type":"article","venue":"Jurnal Kebijakan Ekonomi","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002333192,0.0009095765,0.001069575,0.0005540684,0.003837637,0.001003352,0.002091167,0.0004039274,0.002885524],"category_scores_gemma":[0.0001323135,0.0009981593,0.0007598264,0.001584692,0.0006252729,0.0008050277,0.0007931253,0.002082285,0.0005309664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270847,"about_ca_system_score_gemma":0.001260697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002377154,"about_ca_topic_score_gemma":0.009792308,"domain_scores_codex":[0.991751,0.001761782,0.001572854,0.001347478,0.0017889,0.001778021],"domain_scores_gemma":[0.9961639,0.0003347601,0.001185208,0.001024856,0.0002964813,0.0009947929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0015021,0.003235905,0.4860819,0.000312012,0.001115746,0.0006398542,0.174316,0.002893934,0.003624537,0.03708599,0.2590339,0.03015808],"study_design_scores_gemma":[0.00270032,0.0007569889,0.0991026,0.000111495,0.0003034011,0.0001047915,0.03156107,0.005937916,0.00007898724,0.0002178286,0.8571923,0.001932312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562952,0.001620188,0.00008880859,0.01194958,0.004606981,0.001181859,0.0003314543,0.0002629237,0.023663],"genre_scores_gemma":[0.937417,0.0005700247,0.00009290398,0.002051735,0.001799669,0.0001079909,0.0002673471,0.0001554545,0.05753785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5981584,"threshold_uncertainty_score":0.9992469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204005821902351,"score_gpt":0.2635150977776763,"score_spread":0.2514750395586528,"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."}}