{"id":"W4396228723","doi":"10.61860/jigp.v2i3.122","title":"MENUJU HAJI YANG EFISIEN DAN BERKEADILAN: OPTIMALISASI SISTEM PENDAFTARAN DAN PENGELOLAAN WAITING LIST JEMAAH HAJI DI JAWA BARAT","year":2024,"lang":"id","type":"article","venue":"JURNAL ILMIAH GEMA PERENCANA","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Computer science","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":[0.00258089,0.0003095478,0.0004743001,0.0004805537,0.001199181,0.004506148,0.0008962546,0.001030724,0.03835567],"category_scores_gemma":[0.008392556,0.0002362049,0.000594555,0.001229006,0.000930102,0.002174153,0.001400028,0.001907147,0.002781156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003727927,"about_ca_system_score_gemma":0.006628998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578061,"about_ca_topic_score_gemma":0.0141712,"domain_scores_codex":[0.9980208,0.0008170436,0.00009646735,0.0002270052,0.0003271366,0.0005115348],"domain_scores_gemma":[0.9933128,0.003721816,0.0009984146,0.0002837123,0.0008315977,0.0008516472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004175541,0.001876353,0.1630355,0.00266309,0.0005119024,0.00183748,0.005702358,0.0285288,0.002787377,0.3474718,0.1355157,0.305894],"study_design_scores_gemma":[0.0009066028,0.002460317,0.3082947,0.002810576,0.001076811,0.0016876,0.02839595,0.07143177,0.006334722,0.2382832,0.3378996,0.0004181948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6476381,0.01674941,0.01955877,0.04764135,0.001258707,0.0002867264,0.004206708,0.0002863009,0.2623738],"genre_scores_gemma":[0.9623066,0.003075704,0.002556942,0.001407112,0.0002251396,0.0001166678,0.000614094,0.00006038797,0.02963726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03835567,"threshold_uncertainty_score":0.1283125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062937903787324,"score_gpt":0.2418963118166298,"score_spread":0.2212669327787565,"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."}}