{"id":"W2966636974","doi":"10.33020/saintekom.v9i1.73","title":"GDSS MULTI KRITERIA PENENTUAN STRATEGI MARKETING TERBAIK PERGURUAN TINGGI","year":2019,"lang":"id","type":"article","venue":"Jurnal SAINTEKOM","topic":"Blockchain Technology in Education and Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Humanities; Computer science; Philosophy","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002253592,0.0005499119,0.0005434697,0.0004129376,0.0005168893,0.0009007967,0.00209296,0.0004966932,0.002162296],"category_scores_gemma":[0.0004024209,0.0005614044,0.0002947093,0.0007110903,0.0002042707,0.0004575445,0.0006873837,0.001906464,0.003165016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003183889,"about_ca_system_score_gemma":0.0003634641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001182375,"about_ca_topic_score_gemma":0.00002763256,"domain_scores_codex":[0.995542,0.0007135501,0.0008696528,0.001147762,0.0005616831,0.001165273],"domain_scores_gemma":[0.9971604,0.0003628008,0.0006632801,0.001182361,0.0002845735,0.0003465763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004244608,0.002629754,0.4527452,0.001057094,0.0008526632,0.000461166,0.0300112,0.0005315767,0.07980181,0.03254499,0.01953538,0.3794047],"study_design_scores_gemma":[0.003866159,0.000917782,0.4411726,0.002214574,0.0001231734,0.001063274,0.01341389,0.2062448,0.002482733,0.0004765296,0.3251767,0.002847746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642928,0.0009015486,0.007322693,0.006062637,0.006702727,0.0005150018,0.000005579565,0.0005312985,0.01366576],"genre_scores_gemma":[0.9672812,0.00007842637,0.01134262,0.001070903,0.0005654776,0.00001395197,0.000009719546,0.00006666155,0.019571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3765569,"threshold_uncertainty_score":0.9996837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540663829382052,"score_gpt":0.2655467864242167,"score_spread":0.2501401481303962,"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."}}