{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001305501,0.0005838349,0.000387254,0.00265824,0.001580418,0.003236537,0.0008908301,0.001250638,0.01503586],"category_scores_gemma":[0.005268021,0.0004039971,0.000569884,0.002120893,0.0009526922,0.002488959,0.002297666,0.0009013188,0.003894491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600631,"about_ca_system_score_gemma":0.001247446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018842,"about_ca_topic_score_gemma":0.02306159,"domain_scores_codex":[0.9986237,0.0002013738,0.00005485193,0.0003906953,0.0004995968,0.0002296487],"domain_scores_gemma":[0.9977756,0.0005574846,0.0004350144,0.0003353738,0.0007554321,0.0001411384],"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":[0.0004844361,0.0001792722,0.1841538,0.000635829,0.0001147009,0.001574202,0.03434668,0.00346947,0.04166732,0.04306351,0.02818561,0.6621253],"study_design_scores_gemma":[0.00003926436,0.0003710082,0.4445003,0.0008232738,0.0003198488,0.002739314,0.06338959,0.07880965,0.03709503,0.03815722,0.3334112,0.0003443216],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6882109,0.002628896,0.1348862,0.00383618,0.0006567965,0.0004120932,0.002687703,0.003489574,0.1631916],"genre_scores_gemma":[0.8697586,0.001076445,0.06883845,0.0004626626,0.00009557421,0.0002025584,0.001057989,0.0003537563,0.05815385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.018842,"threshold_uncertainty_score":0.0503,"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."}}