{"id":"W4403240040","doi":"10.29313/bcsurp.v4i3.14361","title":"Konfigurasi Ruang Jaringan Jalur Pejalan Kaki di Sekitar Stasiun Rawa Buntu Kota Tangerang Selatan dengan Analisis Space Syntax","year":2024,"lang":"id","type":"article","venue":"Bandung Conference Series Urban & Regional Planning","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"Universitas Islam Bandung","keywords":"Computer science; Physics","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":[0.002274786,0.00094359,0.0004810432,0.002227372,0.002291482,0.008268915,0.0009010878,0.0009039802,0.04218331],"category_scores_gemma":[0.007558912,0.0005149507,0.001011303,0.002961069,0.002697041,0.007441259,0.003194693,0.001826094,0.007087759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502251,"about_ca_system_score_gemma":0.003165072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008022908,"about_ca_topic_score_gemma":0.01402914,"domain_scores_codex":[0.9972177,0.0008289017,0.0002131257,0.0005562062,0.0009384064,0.0002456837],"domain_scores_gemma":[0.9932169,0.00306275,0.0005609922,0.0009849134,0.001880706,0.0002937687],"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":[0.0006885375,0.0004178818,0.09982941,0.002376527,0.0002493488,0.001905744,0.08857513,0.002534162,0.03197439,0.3347569,0.03319225,0.4034997],"study_design_scores_gemma":[0.00004558472,0.00037868,0.1355632,0.001095313,0.0003567711,0.002028149,0.09637565,0.005280307,0.03133263,0.1036329,0.6236128,0.0002980508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.488612,0.002893678,0.1064588,0.005395008,0.0006054374,0.0004368561,0.0042016,0.001858141,0.3895385],"genre_scores_gemma":[0.8012508,0.001862119,0.07068636,0.0007385512,0.00009597042,0.0003071496,0.0029817,0.001343174,0.1207342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04218331,"threshold_uncertainty_score":0.1411172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727052212044961,"score_gpt":0.2365339793802775,"score_spread":0.2092634572598279,"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."}}