{"id":"W2776085612","doi":"10.26798/jiko.2016.v1i1.11","title":"PENERAPAN PROFILE MATCHING UNTUK PENCARIAN SISWA SMP PENERIMA BEASISWA MISKIN DAN BERPRESTASI","year":2016,"lang":"id","type":"article","venue":"JIKO (Jurnal Informatika dan Komputer)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Humanities; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001592057,0.00098528,0.00122117,0.00100252,0.0008015422,0.002213829,0.0008599332,0.00133502,0.02485634],"category_scores_gemma":[0.002985835,0.0005216753,0.001176352,0.001209417,0.0005127371,0.001904566,0.00138151,0.00193136,0.0107052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007155092,"about_ca_system_score_gemma":0.001630421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002329221,"about_ca_topic_score_gemma":0.002741071,"domain_scores_codex":[0.9982737,0.0002875065,0.0001730546,0.0003584326,0.0006968179,0.0002105068],"domain_scores_gemma":[0.9988701,0.000276199,0.0001711645,0.0002061522,0.0003781527,0.00009826713],"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":[0.00356245,0.0006943927,0.008419774,0.002531177,0.0002076044,0.002459421,0.0008051394,0.001892732,0.3303578,0.005285198,0.02623082,0.6175536],"study_design_scores_gemma":[0.0003590124,0.003747265,0.02155733,0.0008791021,0.0005542297,0.007565783,0.001511012,0.00830724,0.4120379,0.00610507,0.537128,0.0002481878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4322969,0.05605555,0.2882926,0.008573366,0.004495397,0.003928622,0.01195078,0.009150838,0.1852558],"genre_scores_gemma":[0.6718982,0.02112163,0.1539034,0.00609843,0.0005187945,0.001363038,0.008997389,0.001540807,0.1345583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02485634,"threshold_uncertainty_score":0.08315283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696620437905162,"score_gpt":0.2460351563118545,"score_spread":0.2290689519328029,"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."}}