{"id":"W4385787552","doi":"","title":"Patrimônio digital e informação: política, cultura e diversidade<p>Digital heritage and information: politics, culture and diversity","year":2007,"lang":"pt","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Politics; Digital culture; Cultural heritage; Political science; Anthropology; Sociology; Media studies; 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","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0003515578,0.0005548206,0.0006816079,0.0007089225,0.001678084,0.01577624,0.001364681,0.00009156238,0.001435048],"category_scores_gemma":[0.0001054914,0.000478161,0.0002452956,0.0002633344,0.0008950596,0.03881744,0.005091966,0.0004705945,0.00006463973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017206,"about_ca_system_score_gemma":0.00006055897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003427204,"about_ca_topic_score_gemma":0.00002166575,"domain_scores_codex":[0.9969662,0.00002957577,0.001026863,0.0003680851,0.0009489726,0.0006602741],"domain_scores_gemma":[0.9977238,0.0002103085,0.0007686492,0.0002601981,0.0003796371,0.000657451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009264315,0.001202021,0.3717186,0.001731027,0.002375216,0.0002966802,0.06165807,0.0000125015,0.00002868952,0.3104473,0.1249463,0.1246572],"study_design_scores_gemma":[0.001178739,0.00008577912,0.5615183,0.0004467626,0.0002061847,0.00004786384,0.01079933,0.00002106335,0.00003285544,0.02228495,0.4024965,0.0008816613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5497192,0.003881602,0.0001287136,0.000513391,0.0007789131,0.0008460233,0.005599448,0.0000721812,0.4384605],"genre_scores_gemma":[0.9882106,0.003599986,0.00001588644,0.0006879041,0.0003765172,0.000003333566,0.0003767624,0.00002213202,0.006706895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4384914,"threshold_uncertainty_score":0.999767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111084948998407,"score_gpt":0.4063671128657376,"score_spread":0.2952821638673306,"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."}}