{"id":"W4404578754","doi":"10.62951/repeater.v2i4.230","title":"Penerapan Metode Preference Selection Index (PSI) Penentuan Penilaian Kinerja Fasilitator di BBPPMPV BBL Medan","year":2024,"lang":"en","type":"article","venue":"Repeater","topic":"Decision Support System Applications","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Selection (genetic algorithm); Index (typography); Preference; Mathematics; Statistics; Computer science; Artificial intelligence","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":[0.001704739,0.0005652549,0.0008916805,0.002432181,0.0004110084,0.0017232,0.0004913426,0.0004331275,0.02889449],"category_scores_gemma":[0.008020108,0.0001597204,0.000812923,0.00246413,0.0002348542,0.0005912269,0.0007764405,0.0007545408,0.003888034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004881181,"about_ca_system_score_gemma":0.0008328703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393628,"about_ca_topic_score_gemma":0.002200201,"domain_scores_codex":[0.9974744,0.000965504,0.0002962984,0.0002672324,0.0008393037,0.0001572738],"domain_scores_gemma":[0.9954988,0.002292207,0.0005422853,0.0002176049,0.001070846,0.0003780728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00356438,0.0005715739,0.4673024,0.0008381137,0.0006172812,0.0006013544,0.0005118642,0.001368771,0.004387475,0.002476202,0.0295554,0.4882052],"study_design_scores_gemma":[0.0002710609,0.00226015,0.9026695,0.0004379568,0.0003194106,0.002351855,0.00168274,0.01275411,0.005087464,0.003746259,0.06825596,0.0001635472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8623277,0.005104139,0.03549439,0.002196312,0.0008751704,0.001072909,0.02499139,0.0006748445,0.06726305],"genre_scores_gemma":[0.9186249,0.001399237,0.044156,0.0002815716,0.0001681745,0.0016614,0.009640647,0.0001242256,0.02394385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02889449,"threshold_uncertainty_score":0.09666169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03944168161694617,"score_gpt":0.2638753082370216,"score_spread":0.2244336266200754,"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."}}