{"id":"W4320158993","doi":"10.35475/riptek.v15i2.122","title":"PENGGUNAAN SISTEM INFORMASI GEOGRAFIS DALAM PENENTUAN KESESUAIAN LOKASI SARANA PENDIDIKAN MENENGAH DI KECAMATAN MIJEN","year":2021,"lang":"en","type":"article","venue":"Jurnal Riptek","topic":"Decision Support System Applications","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mindset; Geographic information system; Service (business); Vocational education; Function (biology); Population; Business; Analytic hierarchy process; Transport engineering; Computer science; Marketing; Geography; Operations research; Engineering; Economic growth; Cartography; Sociology","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008522382,0.0004658699,0.0006011145,0.0004444727,0.0007332879,0.001380021,0.0009051944,0.0001359433,0.003546149],"category_scores_gemma":[0.0002399445,0.0004422612,0.0004011635,0.001254642,0.00009069107,0.002068378,0.0005740828,0.0003950902,0.005762486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356312,"about_ca_system_score_gemma":0.0001606016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001399186,"about_ca_topic_score_gemma":0.0004721051,"domain_scores_codex":[0.9960995,0.00004020141,0.001222439,0.000685639,0.001192378,0.0007598052],"domain_scores_gemma":[0.997297,0.0001188684,0.0006740777,0.001113866,0.0006711438,0.0001250342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002462707,0.001735277,0.5139526,0.001660749,0.0009304937,0.001742973,0.001411842,0.00008511091,0.005647181,0.1582505,0.1967832,0.1175537],"study_design_scores_gemma":[0.0008159626,0.00001076866,0.141267,0.0001041315,0.0001206515,0.0001024518,0.001294818,0.0003324797,0.0002129244,0.0007634048,0.8544737,0.0005018261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2406939,0.0004298655,0.0008873873,0.003118661,0.00152045,0.0008679944,0.00002133067,0.000482753,0.7519776],"genre_scores_gemma":[0.9711968,0.00004442933,0.0004037007,0.001492127,0.001210314,0.0001099379,0.0003903659,0.00009449232,0.02505779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7305029,"threshold_uncertainty_score":0.9998029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187177447603593,"score_gpt":0.2417974501464252,"score_spread":0.2199256756703893,"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."}}