{"id":"W4391984740","doi":"10.26512/rici.v15.n2.2022.40762","title":"Perspectivas arquivísticas na Gestão de Dados de Pesquisa","year":2022,"lang":"en","type":"article","venue":"Revista Ibero-Americana de Ciência da Informação","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Library science; Humanities; Research data; Archival science; Sociology; Political science; Philosophy; Computer science; Social science; Subject (documents)","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.08524257,0.001299635,0.001147723,0.01097205,0.01623639,0.03152921,0.004389904,0.004506932,0.00587883],"category_scores_gemma":[0.08091182,0.00119232,0.001535936,0.01206645,0.05889148,0.0187815,0.01223846,0.008632352,0.00107034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02033838,"about_ca_system_score_gemma":0.01866033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03337078,"about_ca_topic_score_gemma":0.04304186,"domain_scores_codex":[0.9275918,0.0575211,0.002151853,0.002477094,0.008602801,0.001655377],"domain_scores_gemma":[0.9269373,0.05292554,0.003931693,0.007037289,0.007412266,0.001755837],"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":[0.00001348822,0.00001409415,0.0007262723,0.0001545075,0.00001057755,0.0001437418,0.1094274,0.0001567607,0.0001658476,0.8739097,0.00322363,0.01205393],"study_design_scores_gemma":[0.00001405875,0.0000198747,0.001162803,0.0009921627,0.00002469219,0.0004187775,0.1450183,0.0006125948,0.0005453028,0.5328383,0.3183117,0.00004139945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02809983,0.01117525,0.4428498,0.1914282,0.001851031,0.000695204,0.0007395138,0.0005302793,0.3226311],"genre_scores_gemma":[0.6560621,0.01269013,0.2703713,0.007341371,0.001185923,0.002593818,0.0005890115,0.0007184016,0.04844798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9956101,"threshold_uncertainty_score":0.4508112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04452405129925524,"score_gpt":0.3258109037191082,"score_spread":0.281286852419853,"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."}}