{"id":"W4410926434","doi":"10.63824/jptsp.v11i1.156","title":"PEMILIHAN PRAJURIT TERBAIK DENGAN METODE ANALYTICAL HIERARCHY PROCES","year":2024,"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":"Hierarchy; Computer science; Mathematics; Political 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":[0.005354233,0.001278057,0.001147783,0.003237769,0.002046224,0.00876075,0.001701872,0.001332014,0.006545898],"category_scores_gemma":[0.008805281,0.0005597392,0.001356058,0.004463269,0.003191661,0.00465473,0.003429451,0.002110504,0.00185154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004761455,"about_ca_system_score_gemma":0.01107322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008273065,"about_ca_topic_score_gemma":0.008194624,"domain_scores_codex":[0.9942436,0.002546852,0.0004089849,0.0007288462,0.001738443,0.000333218],"domain_scores_gemma":[0.9951409,0.002310584,0.0004783974,0.0004148667,0.001406945,0.0002482785],"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":[0.0002454681,0.000254776,0.006350446,0.003640734,0.0003217609,0.00104269,0.01408607,0.02974384,0.008584126,0.5530399,0.01229165,0.3703986],"study_design_scores_gemma":[0.00009471857,0.0002560696,0.005111263,0.0014245,0.0002809771,0.0007023109,0.01222598,0.1410943,0.008333652,0.6440946,0.186156,0.0002256415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02331586,0.004841108,0.8854282,0.005029817,0.0002861617,0.001019086,0.0006105123,0.0008464156,0.07862282],"genre_scores_gemma":[0.3242579,0.005863839,0.6448385,0.0006279784,0.000210063,0.001146959,0.0006707807,0.0001944224,0.02218955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00876075,"threshold_uncertainty_score":0.03454697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825517392594028,"score_gpt":0.2620483708234938,"score_spread":0.2437931968975535,"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."}}