{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004401086,0.001302574,0.0007423458,0.0005308246,0.0004639717,0.001207446,0.001243115,0.0008685382,0.009686254],"category_scores_gemma":[0.00120815,0.0004644842,0.0009709704,0.0004683294,0.0002968447,0.001218203,0.0008273504,0.001186524,0.002876543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082196,"about_ca_system_score_gemma":0.001466927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01842669,"about_ca_topic_score_gemma":0.02098411,"domain_scores_codex":[0.9996414,0.00003139445,0.00002671954,0.0001171783,0.0001158365,0.00006747842],"domain_scores_gemma":[0.9997479,0.00005177115,0.00002368376,0.00003990847,0.0001180832,0.00001861379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007963641,0.0002701043,0.005294424,0.0005280536,0.0002767648,0.0005263349,0.0001346109,0.1764143,0.03746969,0.005919399,0.05431353,0.7180564],"study_design_scores_gemma":[0.00003991924,0.0001603355,0.002566511,0.00007510649,0.0001004723,0.0002152957,0.00005510604,0.9325457,0.03044403,0.004268933,0.02947596,0.00005267661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1121154,0.006989773,0.8058833,0.002682823,0.001711701,0.0003413322,0.006534649,0.02979305,0.03394793],"genre_scores_gemma":[0.6145913,0.005297208,0.2900726,0.001089047,0.000263564,0.0005460478,0.01416405,0.001395745,0.07258046],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01842669,"threshold_uncertainty_score":0.03663886,"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."}}