{"id":"W7043644094","doi":"","title":"Uma aproximação entre arquivologia e ciéncia da informação: o uso dos conceitos de informação organica e informação arqiovística","year":2017,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Information Science and Libraries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Information science; Order (exchange); Element (criminal law); Process (computing); Information system","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":[0.001179801,0.0004868309,0.0005065429,0.0005284269,0.002083063,0.003832193,0.005256421,0.000534764,0.0004728722],"category_scores_gemma":[0.0007431881,0.0004804061,0.0002282156,0.0007328215,0.0009881222,0.0215392,0.001800694,0.0007657348,0.0008053056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000304535,"about_ca_system_score_gemma":0.001756888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001827893,"about_ca_topic_score_gemma":0.0000365858,"domain_scores_codex":[0.9965218,0.0001171685,0.0006631211,0.0004483904,0.0008707661,0.001378777],"domain_scores_gemma":[0.9958824,0.000385337,0.0008760896,0.001938428,0.0002740192,0.000643726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001831004,0.0001306557,0.01470225,0.0001329403,0.0001697908,0.0002352994,0.07114299,0.0005205566,0.0003135757,0.7092036,0.05340934,0.1498559],"study_design_scores_gemma":[0.006249746,0.0005553353,0.1075818,0.0001824569,0.0001064333,0.000518269,0.009766569,0.1482677,0.00562479,0.01209218,0.7064538,0.002600911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2303491,0.0001280677,0.2776785,0.004240556,0.001621141,0.001126665,0.00009652383,0.001331126,0.4834283],"genre_scores_gemma":[0.9758905,0.0001898556,0.01627208,0.005193684,0.0001763019,0.00002026416,0.00004497917,0.00002404464,0.002188258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7455415,"threshold_uncertainty_score":0.9999727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507700890059663,"score_gpt":0.2581062874606198,"score_spread":0.2430292785600232,"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."}}