{"id":"W2530690579","doi":"10.14710/pwk.v11i4.11548","title":"Perencanaan Pembangunan Kelurahan Di Kelurahan Semanggi Kota Surakarta","year":2016,"lang":"en","type":"article","venue":"Jurnal Pembangunan Wilayah dan Kota","topic":"Local Governance and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Snowball sampling; Community participation; Government (linguistics); Nonprobability sampling; Likert scale; Local government; Public participation; Population; Socioeconomics; Political science; Public relations; Sociology; Public administration; Psychology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003732003,0.0001753387,0.0001386421,0.0002522125,0.00134979,0.001000079,0.0003663321,0.0002675428,0.0145137],"category_scores_gemma":[0.0004162899,0.0001068431,0.0001127595,0.000428521,0.0004503248,0.0006660304,0.00106473,0.0005002274,0.001108114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006700088,"about_ca_system_score_gemma":0.001457643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153947,"about_ca_topic_score_gemma":0.007106485,"domain_scores_codex":[0.9997788,0.00006678367,0.00001141933,0.00003602201,0.00005587509,0.00005101113],"domain_scores_gemma":[0.9997047,0.0001049127,0.00004381185,0.00002178674,0.00006841823,0.00005635734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006637588,0.001114677,0.08860181,0.004038477,0.00007066764,0.01928327,0.1174592,0.001298759,0.06869324,0.05314004,0.03631851,0.6093177],"study_design_scores_gemma":[0.00004703922,0.0005831445,0.1690123,0.0008504412,0.00007637871,0.006440405,0.09844035,0.0008882095,0.008689437,0.005637122,0.7092499,0.00008531581],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8256413,0.002987432,0.003275095,0.002052766,0.0002457079,0.0002972132,0.0002364819,0.0001236909,0.1651404],"genre_scores_gemma":[0.9459305,0.001382951,0.002775299,0.0002020945,0.00001949723,0.0001320284,0.0001394014,0.00002118088,0.04939698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0145137,"threshold_uncertainty_score":0.04855317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740356293259602,"score_gpt":0.2752577737982244,"score_spread":0.2578542108656284,"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."}}