{"id":"W3087307376","doi":"","title":"SISTEM INFORMASI PENGOLAHAN DATA PERMINTAAN REKAPITULASI BENDA POS UNTUK KANTOR POS CABANG PADA PT. POS INDONESIA (PERSERO) BINJAI BERBASIS WEB","year":2020,"lang":"id","type":"article","venue":"","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Object (grammar); Task (project management); Computer science; Database; Artificial intelligence; Management; Economics","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":[0.001890995,0.0007646967,0.0006953226,0.002348817,0.001135124,0.008049204,0.0005920858,0.0008058267,0.0556815],"category_scores_gemma":[0.003264846,0.0005382936,0.0003141886,0.003502167,0.000804297,0.005863067,0.001628062,0.001447164,0.06775929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009408018,"about_ca_system_score_gemma":0.002023567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003572058,"about_ca_topic_score_gemma":0.0027478,"domain_scores_codex":[0.9986009,0.0002375666,0.0001622357,0.0002648302,0.0006288853,0.0001055501],"domain_scores_gemma":[0.9966859,0.0008042328,0.0001757683,0.0009189516,0.001137263,0.0002779052],"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":[0.0005609167,0.0002125312,0.003260823,0.0007398528,0.00004147223,0.00042521,0.00120092,0.0005133736,0.009579348,0.01796431,0.2196165,0.7458848],"study_design_scores_gemma":[0.0000260809,0.00004991296,0.003810513,0.0001488687,0.00003016932,0.0004298204,0.0004837252,0.001327251,0.01124843,0.004643638,0.9777584,0.00004318437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.04450202,0.01265034,0.09158066,0.007565809,0.003371907,0.0006620457,0.02739393,0.04094664,0.7713267],"genre_scores_gemma":[0.2933252,0.01621999,0.08496221,0.001575486,0.00143779,0.0004820956,0.05502849,0.008217684,0.5387511],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0556815,"threshold_uncertainty_score":0.1862732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06682008499940018,"score_gpt":0.2686025369888429,"score_spread":0.2017824519894427,"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."}}