{"id":"W2515075257","doi":"10.24176/simet.v7i1.496","title":"ANALYTICAL HIERARCHY PROCCESS (AHP) UNTUK MEMBANGUN MESIN PENCARI DATA LULUSAN PERGURUAN TINGGI BERDASARKAN KEBUTUHAN PENGGUNA LULUSAN","year":2016,"lang":"id","type":"article","venue":"Simetris Jurnal Teknik Mesin Elektro dan Ilmu Komputer","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity"],"category_scores_codex":[0.007098266,0.002526395,0.003015324,0.00412695,0.001631734,0.002369186,0.01764572,0.001852473,0.0004115528],"category_scores_gemma":[0.0027258,0.002059943,0.0009968347,0.007294076,0.001657535,0.005444203,0.008101763,0.003025142,0.001726226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738822,"about_ca_system_score_gemma":0.002581047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004015474,"about_ca_topic_score_gemma":0.0002204826,"domain_scores_codex":[0.9779628,0.002558739,0.004036562,0.006197972,0.004920925,0.004323041],"domain_scores_gemma":[0.9818815,0.003044324,0.002434411,0.008981499,0.001682363,0.00197592],"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":[0.000621407,0.003622156,0.1057431,0.0008902737,0.004842069,0.00231883,0.003080353,0.00007661242,0.01465141,0.04606005,0.3358749,0.4822188],"study_design_scores_gemma":[0.01234504,0.003868274,0.06509363,0.004518796,0.001914243,0.0035106,0.0005889635,0.1480524,0.02799166,0.004689421,0.7175823,0.00984467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5489363,0.01720394,0.3103622,0.07132825,0.01694165,0.008520177,0.001939611,0.005286792,0.01948102],"genre_scores_gemma":[0.9371613,0.0006430293,0.03558465,0.001834654,0.0047738,0.0001108996,0.0003495305,0.0005237639,0.01901841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4723741,"threshold_uncertainty_score":0.9999205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0518848488260875,"score_gpt":0.3071507436164834,"score_spread":0.2552658947903959,"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."}}