{"id":"W4377157809","doi":"10.33795/jip.v9i3.1255","title":"PENGELOMPOKKAN KEPUASAN SISWA TERHADAP PEMBELAJARAN DARING MENGGUNAKAN ALGORITMA K-MEDOIDS","year":2023,"lang":"id","type":"article","venue":"Jurnal Informatika Polinema","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Humanities; Physics; Psychology; 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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002353496,0.0009564239,0.00109056,0.001929608,0.001107636,0.00110721,0.003719082,0.0006626498,0.0001882803],"category_scores_gemma":[0.00038337,0.0009591079,0.0004973912,0.003479768,0.0004177216,0.00325183,0.001904129,0.001700465,0.006480017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004365427,"about_ca_system_score_gemma":0.0007614019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002167973,"about_ca_topic_score_gemma":0.00007109626,"domain_scores_codex":[0.9920674,0.0002462197,0.002751862,0.0008240191,0.0020409,0.002069575],"domain_scores_gemma":[0.9951597,0.0004790248,0.001236265,0.001874432,0.0005360356,0.0007145409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002149329,0.001197932,0.02528821,0.004131053,0.002955547,0.001968186,0.08236888,0.008423959,0.005072202,0.3601848,0.3254491,0.1827453],"study_design_scores_gemma":[0.004124399,0.0009560398,0.05502969,0.001487834,0.0001631788,0.002114845,0.006396583,0.7139457,0.004128612,0.003423088,0.2052149,0.003015119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5521425,0.002941209,0.05349701,0.05415738,0.02618139,0.005224674,0.0002853235,0.01189312,0.2936774],"genre_scores_gemma":[0.9767069,0.0004864192,0.006227965,0.001962639,0.001891486,0.0001526172,0.0001798251,0.000120667,0.0122715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7055218,"threshold_uncertainty_score":0.9999297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102372431001517,"score_gpt":0.2866602738306915,"score_spread":0.2556365495206764,"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."}}