{"id":"W4389290308","doi":"10.14710/jpk.11.1.26-36","title":"POTENSI PENGEMBANGAN KAWASAN BERBASIS TOD PADA KAWASAN STASIUN PASAR SENEN","year":2023,"lang":"id","type":"article","venue":"Jurnal Pengembangan Kota","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Forestry; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002046405,0.001081121,0.0008814466,0.001528666,0.001706794,0.006236473,0.001045237,0.001544203,0.03104112],"category_scores_gemma":[0.002872876,0.0005205277,0.001060131,0.001406263,0.00104077,0.002891967,0.002732982,0.001711669,0.009082256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002795214,"about_ca_system_score_gemma":0.003948633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01347458,"about_ca_topic_score_gemma":0.02184619,"domain_scores_codex":[0.9983528,0.0002536566,0.0001113585,0.0003576261,0.0006180633,0.0003065635],"domain_scores_gemma":[0.9972326,0.000522816,0.0004313094,0.0002116277,0.001163607,0.0004380351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003005635,0.001576422,0.2061917,0.007068881,0.001005327,0.003950217,0.01030975,0.004174763,0.1271852,0.04060248,0.06087651,0.534053],"study_design_scores_gemma":[0.00009367154,0.00151548,0.2468601,0.001461787,0.0009250898,0.00299822,0.01419385,0.002665563,0.04627445,0.01427194,0.66846,0.0002799686],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5690294,0.02617354,0.02792772,0.01091096,0.001678187,0.0006337658,0.006370754,0.001425772,0.3558499],"genre_scores_gemma":[0.7836041,0.01536952,0.01837331,0.001520524,0.0002922854,0.0002900794,0.004009299,0.0004137611,0.1761271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03104112,"threshold_uncertainty_score":0.1038429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03410202467076803,"score_gpt":0.2948317177683626,"score_spread":0.2607296930975946,"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."}}