{"id":"W4319211093","doi":"10.56248/marostek.v1i1.19","title":"Jaringan Syaraf Tiruan Memprediksi Tingkat Penggunaan Sosial Media Dimasa Pandemi Menggunakan Metode Backpropagation","year":2022,"lang":"id","type":"article","venue":"Jurnal Teknik Komputer Agroteknologi Dan Sains","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Humanities; Computer science; 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","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003497321,0.001287312,0.001294991,0.0009455707,0.003665241,0.001351505,0.006015305,0.0004933427,0.0002046036],"category_scores_gemma":[0.0006270211,0.001317174,0.0006491024,0.002231833,0.0005037613,0.001270344,0.006656409,0.004578568,0.0005169142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006808,"about_ca_system_score_gemma":0.0008228649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004442701,"about_ca_topic_score_gemma":0.0001305642,"domain_scores_codex":[0.9887959,0.002143446,0.001883221,0.002885796,0.002172512,0.002119114],"domain_scores_gemma":[0.9933307,0.001061565,0.001538421,0.002868152,0.0003497804,0.0008513546],"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":[0.0004118656,0.003818669,0.01257283,0.0004103726,0.001671514,0.001007398,0.03952662,0.01257385,0.02033249,0.0493688,0.07374445,0.7845612],"study_design_scores_gemma":[0.006024306,0.003748481,0.1003641,0.0004267765,0.0007972511,0.002103614,0.002591102,0.2432025,0.003971783,0.003921541,0.6277376,0.005110907],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5273631,0.00221996,0.421958,0.02211049,0.01107619,0.003380038,0.000850942,0.004505598,0.006535688],"genre_scores_gemma":[0.9634049,0.0002149585,0.02774572,0.001699251,0.002919541,0.0004501667,0.0009968379,0.000202316,0.002366291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7794502,"threshold_uncertainty_score":0.9999878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401643715459733,"score_gpt":0.2535587334676701,"score_spread":0.2295422963130728,"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."}}