{"id":"W2736816756","doi":"10.31328/jointecs.v2i1.411","title":"Sistem Pengambil Keputusan untuk Menentukan Kelayakan Penerima Kredit Mobil di PT. Adira Finance Cabang Kota Pasuruan","year":2017,"lang":"en","type":"article","venue":"JOINTECS (Journal of Information Technology and Computer Science)","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Documentation; Business; Finance; Process (computing); Software; Accounting; Computer science; Operating system","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":[0.00102783,0.0005084423,0.0003918651,0.0007285647,0.001860993,0.004529012,0.0005079696,0.000836233,0.03277512],"category_scores_gemma":[0.001478469,0.0003403925,0.0002507415,0.001178307,0.0007972414,0.002656091,0.001521041,0.001104071,0.0146466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049552,"about_ca_system_score_gemma":0.002116658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003055736,"about_ca_topic_score_gemma":0.003314333,"domain_scores_codex":[0.9993796,0.0001169974,0.00005549329,0.0001438453,0.0002153024,0.00008869646],"domain_scores_gemma":[0.9989907,0.0002677377,0.00008690926,0.0001142987,0.0004255461,0.0001148262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009534634,0.0005294483,0.02154862,0.001417135,0.00006591809,0.0040806,0.009581811,0.001999951,0.02887189,0.05195294,0.07640428,0.802594],"study_design_scores_gemma":[0.00006218783,0.0003144676,0.02127902,0.0003608513,0.00009567161,0.002567763,0.007930692,0.004097145,0.02004947,0.01108131,0.932053,0.0001085034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3813007,0.01326888,0.04767358,0.008999487,0.001980916,0.000473406,0.002883138,0.00498992,0.53843],"genre_scores_gemma":[0.6936486,0.007007625,0.02980493,0.0007557839,0.0002681661,0.0002354414,0.00324301,0.0006931291,0.2643433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03277512,"threshold_uncertainty_score":0.1096438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008382888126834678,"score_gpt":0.2303168359239313,"score_spread":0.2219339477970966,"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."}}