{"id":"W28369467","doi":"10.1093/hmg/ddx085","title":"LKP : Rancang Bangun Aplikasi Wajib Lapor Perusahaan Pada Dinas Tenaga Kerja Pemkot Surabaya","year":2013,"lang":"en","type":"dissertation","venue":"Human Molecular Genetics","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Humanities; Computer science; Physics; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004384197,0.0008913315,0.000859828,0.0004429788,0.0004099431,0.0007387233,0.002629548,0.0007080052,0.0002137807],"category_scores_gemma":[0.0001178315,0.0009148821,0.0004460498,0.0004488904,0.00008285671,0.000154642,0.0002885924,0.0009115926,0.0007135028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001641489,"about_ca_system_score_gemma":0.000309437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003943617,"about_ca_topic_score_gemma":0.0002366685,"domain_scores_codex":[0.994743,0.0004337972,0.000986741,0.001485875,0.001377944,0.0009725658],"domain_scores_gemma":[0.9958718,0.00009082754,0.000753751,0.002353528,0.0005225751,0.000407475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005502101,0.0008846779,0.003926623,0.003387067,0.001550428,0.002421933,0.02882987,0.001481221,0.755043,0.02003253,0.03679329,0.1455943],"study_design_scores_gemma":[0.01033518,0.002626139,0.4392929,0.0047362,0.001433237,0.0004728599,0.004099709,0.07908657,0.1998569,0.005093007,0.2340613,0.01890596],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572753,0.00878675,0.01509849,0.0001475625,0.004032049,0.002117523,0.00001869702,0.0006360281,0.01188764],"genre_scores_gemma":[0.9359934,0.000143703,0.02322724,0.0002518543,0.0007557686,0.0003695647,0.001437713,0.0003858439,0.03743491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5551861,"threshold_uncertainty_score":0.9993302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240801586978433,"score_gpt":0.2575057678345601,"score_spread":0.2450977519647758,"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."}}