{"id":"W4382242924","doi":"10.59697/jik.v6i2.121","title":"Penerapan Metode Convolutional Neural Network Untuk Mendeteksi Wajah Yang Menggunakan Masker","year":2022,"lang":"id","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Artificial intelligence","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"],"consensus_categories":[],"category_scores_codex":[0.001982342,0.0008127765,0.0008163808,0.0006161325,0.002468004,0.001586186,0.00375053,0.0001640014,0.0008524418],"category_scores_gemma":[0.00003225483,0.0008503094,0.0005491424,0.002620554,0.0001809844,0.004629329,0.004037755,0.001829206,0.000393412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007250421,"about_ca_system_score_gemma":0.0006904364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001044095,"about_ca_topic_score_gemma":0.00001692927,"domain_scores_codex":[0.9926401,0.000297007,0.001658571,0.0008257149,0.002428693,0.002149951],"domain_scores_gemma":[0.9969029,0.0002431552,0.0006800251,0.001177943,0.0002377889,0.0007581733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005444386,0.0001522952,0.0006108321,0.0001015556,0.0002218156,0.0001751917,0.006306463,0.8877043,0.0002100718,0.02229784,0.04223322,0.03993198],"study_design_scores_gemma":[0.0008410771,0.0004127623,0.003322009,0.00005153555,0.00003786829,0.0008833713,0.0002981216,0.7778699,0.00008864426,0.0004013179,0.2149399,0.0008534919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3799467,0.006283166,0.4992613,0.01181479,0.04573352,0.002400501,0.0002597215,0.002100416,0.05219993],"genre_scores_gemma":[0.9763941,0.0001112665,0.01292255,0.004283492,0.001859737,0.0001313065,0.00007145089,0.0000668256,0.004159341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5964473,"threshold_uncertainty_score":0.9994503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530606068826044,"score_gpt":0.2159013964453837,"score_spread":0.2005953357571232,"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."}}