{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002175582,0.001399749,0.001463713,0.001245544,0.001245231,0.002026709,0.005891189,0.0009310187,0.0002062708],"category_scores_gemma":[0.0002663072,0.001118526,0.0007004479,0.001485969,0.0005933386,0.007155444,0.002693926,0.001281414,0.002169466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009442444,"about_ca_system_score_gemma":0.001126364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002989964,"about_ca_topic_score_gemma":0.0001170689,"domain_scores_codex":[0.9901849,0.0006327397,0.003215171,0.001461301,0.002313242,0.002192667],"domain_scores_gemma":[0.9923457,0.0007638152,0.002299601,0.00287904,0.0007804362,0.0009314142],"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":[0.0003246821,0.001410568,0.0234311,0.001560703,0.002148215,0.0009055077,0.03532584,0.001006651,0.02842905,0.1973194,0.08323957,0.6248987],"study_design_scores_gemma":[0.01820365,0.005309019,0.1666161,0.0132519,0.0007552602,0.01194405,0.006158352,0.1712695,0.07620361,0.0108332,0.5056025,0.01385298],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6340262,0.001152904,0.3112774,0.01681645,0.0082487,0.002842492,0.0002677369,0.001990665,0.02337746],"genre_scores_gemma":[0.9597597,0.0002075066,0.03294926,0.001831329,0.001561686,0.0001965257,0.0001085011,0.0001461977,0.003239354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6110458,"threshold_uncertainty_score":0.9998753,"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."}}