{"id":"W4410926581","doi":"10.63824/jptsp.v12i1.255","title":"PEMANFAATAN TEKNOLOGI DRONE GUNA MENDUKUNG TUGAS PENYELIDIKAN SATUAN ZENI TNI AD","year":2025,"lang":"id","type":"article","venue":"JURNAL TEKNIK SIPIL PERTAHANAN","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Drone; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006035595,0.0008103375,0.0005990213,0.000944368,0.001255611,0.002903416,0.0007310608,0.001307486,0.02636642],"category_scores_gemma":[0.001289462,0.0003663411,0.0006024985,0.0006486136,0.0008425973,0.002001328,0.001785257,0.001473466,0.007669441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186759,"about_ca_system_score_gemma":0.001831847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006706217,"about_ca_topic_score_gemma":0.009539947,"domain_scores_codex":[0.9992988,0.00009596972,0.00003940491,0.0001552289,0.0002829625,0.0001276575],"domain_scores_gemma":[0.9991149,0.0001843759,0.0001102835,0.000099661,0.0003764131,0.0001143188],"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":[0.001289915,0.0004705556,0.03338179,0.003766837,0.0002602442,0.002621004,0.003404713,0.007123691,0.1266191,0.02981719,0.04717525,0.7440698],"study_design_scores_gemma":[0.0001016976,0.001193044,0.05186306,0.001527065,0.0003006644,0.005386415,0.005854819,0.008278116,0.06207452,0.01573037,0.8474305,0.0002596802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2442964,0.05483256,0.1203329,0.0129628,0.003929917,0.0006552574,0.004280088,0.003591759,0.5551184],"genre_scores_gemma":[0.664399,0.0303954,0.0336036,0.002461982,0.0005650995,0.0003251186,0.002553208,0.0003729665,0.2653236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02636642,"threshold_uncertainty_score":0.08820444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324877822750638,"score_gpt":0.2459329052268118,"score_spread":0.2326841269993054,"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."}}