{"id":"W4205559693","doi":"10.31219/osf.io/htjsp","title":"Analisis Faktor-faktor Penyebab Migrasi Penduduk Jawa Akibat Pertumbuhan Penduduk Yang Tinggi","year":2021,"lang":"id","type":"preprint","venue":"","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Medicine","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001375803,0.00198107,0.001667264,0.0004730294,0.000999314,0.00179626,0.00267914,0.0008447677,0.1091082],"category_scores_gemma":[0.0002212259,0.002001106,0.001295443,0.001246527,0.0005295005,0.0009603883,0.01449828,0.001660722,0.006588376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792932,"about_ca_system_score_gemma":0.0003151467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410566,"about_ca_topic_score_gemma":0.01201193,"domain_scores_codex":[0.9883242,0.0004837098,0.002067755,0.003987193,0.002888883,0.002248263],"domain_scores_gemma":[0.9950871,0.0002596866,0.0009525016,0.002489876,0.0001268578,0.001083972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004146007,0.003577809,0.5440417,0.002528695,0.002606222,0.002983743,0.01588565,0.001159606,0.01833685,0.001386981,0.239484,0.1675941],"study_design_scores_gemma":[0.002081294,0.0003349454,0.6819276,0.001145102,0.0009065419,0.00009082186,0.03199285,0.00296061,0.004241994,0.0001927761,0.2680816,0.006043865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.62739,0.0009748685,0.001479692,0.003311615,0.003983296,0.002245832,0.00007923269,0.000472904,0.3600625],"genre_scores_gemma":[0.8726268,0.001577463,0.006025306,0.00125873,0.0005378756,0.0001700184,0.0007300053,0.0001955449,0.1168782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2452368,"threshold_uncertainty_score":0.9992932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578937086759667,"score_gpt":0.2277268323696503,"score_spread":0.2119374615020536,"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."}}