{"id":"W4288794301","doi":"10.26798/jiko.v5i2.645","title":"ANALISIS SENTIMEN PADA TWITTER TERHADAP PROGRAM KARTU PRA KERJA DENGAN RECURRENT NEURAL NETWORK","year":2021,"lang":"id","type":"article","venue":"JIKO (Jurnal Informatika dan Komputer)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Humanities; Art","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"],"consensus_categories":[],"category_scores_codex":[0.001544816,0.001103957,0.001232773,0.0005162596,0.0008840615,0.003058845,0.00283955,0.0006984801,0.00008556187],"category_scores_gemma":[0.0001528047,0.001082579,0.0007258825,0.002760888,0.000323217,0.003635568,0.002557402,0.002001731,0.0004820942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004853948,"about_ca_system_score_gemma":0.0007912094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002967929,"about_ca_topic_score_gemma":0.00003393211,"domain_scores_codex":[0.991056,0.000793402,0.002912284,0.001204779,0.001997299,0.002036192],"domain_scores_gemma":[0.9938493,0.0004241877,0.001726546,0.002147737,0.001136453,0.000715768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001090336,0.001874243,0.05991227,0.001310717,0.002516956,0.002343581,0.01440754,0.0104495,0.0002340293,0.01387325,0.4548244,0.4381445],"study_design_scores_gemma":[0.002092845,0.001231511,0.04436226,0.001556174,0.0002258768,0.003900122,0.001222249,0.6819139,0.001405963,0.0003748447,0.2595515,0.002162764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7363588,0.006830198,0.174668,0.02856358,0.03164726,0.005928458,0.00009212055,0.004194871,0.01171669],"genre_scores_gemma":[0.89899,0.000354308,0.08423525,0.008988233,0.004775348,0.0003657496,0.0005143179,0.000161205,0.001615536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6714644,"threshold_uncertainty_score":0.9991624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684663541101455,"score_gpt":0.2788094299108612,"score_spread":0.2519627944998467,"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."}}