{"id":"W2775216049","doi":"","title":"PRESERVAÇÃO DIGITAL DE DOCUMENTOS: UM OLHAR PARA O FUTURO","year":2017,"lang":"pt","type":"article","venue":"Anais do Congresso Brasileiro de Biblioteconomia, Documentação e Ciência da Informação - FEBAB","topic":"Information Science and Libraries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Patient Safety Institute","funders":"","keywords":"Humanities; Political science; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"category_scores_codex":[0.003173861,0.001836244,0.001723723,0.004889024,0.005204958,0.07560178,0.01365902,0.001259609,0.003253062],"category_scores_gemma":[0.0009743542,0.0019605,0.001021305,0.003091122,0.001946934,0.09907714,0.005875917,0.001780365,0.004181588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234451,"about_ca_system_score_gemma":0.002847229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460975,"about_ca_topic_score_gemma":0.0002068713,"domain_scores_codex":[0.9883859,0.0002270193,0.003374282,0.001934126,0.001813945,0.0042647],"domain_scores_gemma":[0.9864774,0.0005639974,0.003931658,0.00628528,0.0005975187,0.002144132],"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":[0.0006714676,0.0005655395,0.4446931,0.0006933972,0.001216097,0.0004639977,0.0242647,0.0008734931,0.0001386677,0.04137704,0.2306606,0.2543818],"study_design_scores_gemma":[0.008868647,0.001643512,0.347324,0.001118236,0.0003311852,0.0008012288,0.007396534,0.08934861,0.01029783,0.008128183,0.5179343,0.006807816],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8696283,0.001956923,0.01756538,0.009111227,0.007127468,0.003480282,0.001580545,0.001205414,0.08834448],"genre_scores_gemma":[0.9812291,0.001723177,0.001426604,0.00766156,0.0009261242,0.0002748417,0.0002443283,0.0001370853,0.006377184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2872736,"threshold_uncertainty_score":0.9994382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05423683023585606,"score_gpt":0.3290823658550439,"score_spread":0.2748455356191878,"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."}}