{"id":"W4410926602","doi":"10.63824/jptsp.v12i1.267","title":"TEKNIK EVALUASI PEMELIHARAAN JALAN LINGKUNGAN KAWASAN AKADEMI MILITER MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS","year":2025,"lang":"id","type":"article","venue":"JURNAL TEKNIK SIPIL PERTAHANAN","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Art","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":[0.004186458,0.00115026,0.0009436242,0.002078668,0.001143721,0.005376142,0.0008240085,0.00072965,0.03332128],"category_scores_gemma":[0.01323309,0.0004945344,0.0008871653,0.002134441,0.0007038722,0.003156977,0.001559663,0.001268436,0.01075757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686127,"about_ca_system_score_gemma":0.002435342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003744,"about_ca_topic_score_gemma":0.01073897,"domain_scores_codex":[0.9964452,0.0009109778,0.0002017592,0.0005799737,0.001591643,0.0002704287],"domain_scores_gemma":[0.9907402,0.004045092,0.000352677,0.0008600318,0.003730396,0.0002716848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002513606,0.0008340683,0.05476314,0.003089642,0.000368068,0.0004972258,0.005231654,0.04835117,0.04067443,0.01620923,0.05829124,0.7691765],"study_design_scores_gemma":[0.0004124981,0.002664717,0.1715887,0.001926775,0.00124092,0.00135741,0.02248655,0.281682,0.1510766,0.04363869,0.321296,0.0006290207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4690038,0.005080177,0.2982509,0.00285877,0.0008179484,0.002259242,0.01958206,0.01682202,0.185325],"genre_scores_gemma":[0.7557546,0.002524369,0.1654472,0.0003978323,0.0001047154,0.001048557,0.01360131,0.002263406,0.05885806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03332128,"threshold_uncertainty_score":0.1114708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178476026183105,"score_gpt":0.2885611657438809,"score_spread":0.2767764054820498,"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."}}