{"id":"W4411074691","doi":"10.37859/jf.v15i1.8520","title":"Inovasi Sistem Layanan dan Rujukan Terpadu (SLRT) Bersahaja di Kabupaten Pringsewu: Evaluasi dan Kontribusinya terhadap Pengentasan Kemiskinan","year":2025,"lang":"id","type":"article","venue":"JURNAL FASILKOM","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Animal science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007450298,0.001122266,0.001128301,0.001292985,0.0007263193,0.0003998306,0.001331961,0.001021096,0.00006598552],"category_scores_gemma":[0.0003159676,0.001233419,0.0004606114,0.002554225,0.0002611445,0.0004479042,0.0004638272,0.002389254,0.00007419542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201928,"about_ca_system_score_gemma":0.000331203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009926238,"about_ca_topic_score_gemma":0.0001067379,"domain_scores_codex":[0.9949318,0.0001118037,0.001619559,0.001042254,0.000721071,0.001573567],"domain_scores_gemma":[0.9972169,0.0001836257,0.0003346054,0.00154738,0.0004018184,0.0003156126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002801305,0.002410173,0.5395534,0.00545265,0.009811184,0.0017283,0.00441793,0.02628486,0.1578289,0.1369827,0.02227762,0.09297219],"study_design_scores_gemma":[0.005754868,0.0006060101,0.6158251,0.00435557,0.002114022,0.000460366,0.002182203,0.02817451,0.05403994,0.0004499139,0.2822997,0.003737876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9216104,0.004715902,0.008266865,0.003527394,0.00498727,0.001258732,0.0001049397,0.002545129,0.0529834],"genre_scores_gemma":[0.9916043,0.0003820124,0.001173418,0.0001842024,0.0004123363,0.0001130525,0.0001763166,0.0002044703,0.005749853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.260022,"threshold_uncertainty_score":0.9999123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009709724104908111,"score_gpt":0.238135252254328,"score_spread":0.2284255281494199,"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."}}