{"id":"W7047734987","doi":"","title":"Identificar autoridades por meio de reconhecimento facial. Uso de tecnologia de visão computacional como alternativa para antigo processo de fotogramas (Carômetro)","year":2020,"lang":"pt","type":"other","venue":"CEUB (University Center of Brasília)","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Deep learning; Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000335101,0.0007548467,0.001134577,0.0003903244,0.000432938,0.0002450408,0.001806928,0.0004213843,0.002968922],"category_scores_gemma":[0.00003161616,0.000935556,0.0008422752,0.0006402729,0.0006583951,0.0003517906,0.0008727159,0.001392117,0.0002431819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008578203,"about_ca_system_score_gemma":0.001340267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007482033,"about_ca_topic_score_gemma":0.00002001567,"domain_scores_codex":[0.9955794,0.000490784,0.0004688611,0.001111735,0.0006787317,0.001670486],"domain_scores_gemma":[0.997447,0.0001875774,0.0007419946,0.0005247253,0.0001904662,0.0009082662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001775209,0.005419638,0.7396295,0.001265164,0.00764018,0.0006981575,0.004643605,0.0005038736,0.02295138,0.01098999,0.0616044,0.1428789],"study_design_scores_gemma":[0.02164117,0.002826154,0.3188092,0.005095528,0.002713767,0.00004847562,0.02195176,0.04861547,0.05465722,0.0025835,0.5145946,0.00646313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3601741,0.000263223,0.6178737,0.002150534,0.0005280382,0.001808751,0.004014304,0.0002177014,0.01296966],"genre_scores_gemma":[0.965966,0.00005785057,0.006412468,0.0000669191,0.0007516045,0.000008664427,0.0005345498,0.0001504508,0.02605148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6114612,"threshold_uncertainty_score":0.9993095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606657437872488,"score_gpt":0.27377919345199,"score_spread":0.2477126190732651,"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."}}