{"id":"W2171878133","doi":"10.14710/tataloka.13.3.152-166","title":"MENUJU PEMBANGUNAN BERBASIS TATA RUANG MELALUI PERENCANAAN LINGKUNGAN BERTETANGGA SECARA PARTISIPATIF Studi Kasus Pelaksanaan Program Pengembangan Lingkungan Berbasis Komunitas (PLP-BK) di Kelurahan Pringapus Kabupaten Semarang","year":2016,"lang":"id","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Public Administration in Developing Nations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"CLARITY; Citizen journalism; Government (linguistics); Scope (computer science); Community participation; Participatory planning; Plan (archaeology); Public participation; Local government; Environmental planning; Business; Public relations; Sociology; Political science; Public administration; Computer science; Geography; Socioeconomics; Law","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":[0.000745017,0.0002168199,0.0002714735,0.0002553115,0.0012467,0.002119076,0.0003175418,0.0003623104,0.009150576],"category_scores_gemma":[0.0006878669,0.0001843481,0.0002112721,0.0004591068,0.0004671303,0.001126368,0.0009214986,0.0009373208,0.00113206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009914642,"about_ca_system_score_gemma":0.003021061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002572917,"about_ca_topic_score_gemma":0.01272407,"domain_scores_codex":[0.9997111,0.00009194436,0.00001865359,0.00006049771,0.00005706343,0.00006066214],"domain_scores_gemma":[0.9996307,0.0001399778,0.00004762414,0.00002492238,0.0000538906,0.0001028149],"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":[0.001009786,0.0052079,0.1190771,0.004524437,0.0002039673,0.00365626,0.04950975,0.002304062,0.01510342,0.04388579,0.02728819,0.7282293],"study_design_scores_gemma":[0.0001675153,0.001990863,0.3441432,0.002778739,0.0003600432,0.002412744,0.1020706,0.001804641,0.01737067,0.01042428,0.5163738,0.0001028941],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.844845,0.005389917,0.003437542,0.003572403,0.0002821817,0.0005392776,0.000473468,0.0001150216,0.1413452],"genre_scores_gemma":[0.9350716,0.004604258,0.00664842,0.0005460128,0.00002932718,0.0004802975,0.0003039575,0.00004364636,0.0522725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009150576,"threshold_uncertainty_score":0.03061169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2748834948253448,"score_gpt":0.5597190181454162,"score_spread":0.2848355233200714,"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."}}