{"id":"W3159390462","doi":"10.1109/iccike51210.2021.9410789","title":"Batch Image Processing in Facial Detection Applications","year":2021,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Artificial intelligence; Image processing; Computer vision; Batch processing; Face detection; Pattern recognition (psychology); Image (mathematics); Facial recognition system","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":[0.001043948,0.001137285,0.0008627351,0.000715179,0.0006708637,0.001302507,0.002181967,0.000872563,0.007121985],"category_scores_gemma":[0.00430613,0.0006577088,0.0005623274,0.0009899574,0.0005404183,0.001784543,0.0008865796,0.00115475,0.003039407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009357357,"about_ca_system_score_gemma":0.00107602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006506726,"about_ca_topic_score_gemma":0.005381931,"domain_scores_codex":[0.9989052,0.0001462065,0.00006947658,0.0003003563,0.0004223465,0.0001564269],"domain_scores_gemma":[0.9967077,0.001366493,0.00019636,0.0007225747,0.0008546261,0.0001521916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0038207,0.0006804424,0.00875968,0.0007988896,0.0002084526,0.0009195128,0.000636626,0.06562726,0.3732865,0.005425522,0.03240279,0.5074337],"study_design_scores_gemma":[0.0001852417,0.00118006,0.009214945,0.00006452349,0.0001110835,0.0009205947,0.0002691334,0.6581902,0.3015986,0.005373367,0.02275543,0.0001367662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2129504,0.001740247,0.7393299,0.0004597905,0.0004344383,0.0006138441,0.0005777491,0.03410658,0.009787091],"genre_scores_gemma":[0.5323108,0.0005775423,0.4571237,0.00029177,0.0001073435,0.0004241109,0.001011008,0.001445519,0.006708208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007121985,"threshold_uncertainty_score":0.02382541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130670605940959,"score_gpt":0.2542571518686583,"score_spread":0.2429504458092487,"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."}}