{"id":"W2912881330","doi":"","title":"UMA ANÁLISE DA PROTEÇÃO INFORMACIONAL PARA O PATRIMÔNIO CULTURAL","year":2017,"lang":"pt","type":"article","venue":"XVIII ENCONTRO NACIONAL DE PESQUISA EM CIÊNCIA DA INFORMAÇÃO (XVIII ENANCIB)","topic":"Cultural, Media, and Literary Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Cultural heritage; Art; Law","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001649057,0.002358894,0.002403833,0.0006230136,0.00985513,0.006527387,0.00303926,0.0009521801,0.003268093],"category_scores_gemma":[0.001361889,0.00189606,0.001718047,0.0002455434,0.00235738,0.00997218,0.001443981,0.002429657,0.002079218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009169756,"about_ca_system_score_gemma":0.00138723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000814869,"about_ca_topic_score_gemma":0.001581003,"domain_scores_codex":[0.9889,0.0002360971,0.003213298,0.001387674,0.002697653,0.003565253],"domain_scores_gemma":[0.991389,0.0004696917,0.002651626,0.002161152,0.001922503,0.001406018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003801078,0.001011333,0.01241596,0.001628367,0.002261213,0.000586002,0.3764657,0.0001354735,0.000203748,0.3590341,0.1788053,0.06365163],"study_design_scores_gemma":[0.008463316,0.0008338633,0.02932443,0.0009100657,0.0004903008,0.0003440456,0.0305425,0.001328834,0.000126807,0.0006511636,0.9240918,0.002892885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7968225,0.01308381,0.0001556508,0.005415506,0.0140597,0.006325896,0.009691696,0.00100545,0.1534398],"genre_scores_gemma":[0.9541398,0.001363254,0.0002760114,0.003766555,0.009136249,0.0008474502,0.001801828,0.0001494211,0.02851947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7452865,"threshold_uncertainty_score":0.9998718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05055027181053343,"score_gpt":0.2919976529500946,"score_spread":0.2414473811395611,"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."}}