{"id":"W2946807693","doi":"","title":"APONTAMENTOS A RESPEITO DA REPRESENTAÇÃO E ORGANIZAÇÃO NA ARQUIVÍSTICA: ANÁLISE DE INSTRUMENTOS DE PESQUISA POR MEIO DE CATEGORIAS SEMÂNTICAS","year":2018,"lang":"pt","type":"article","venue":"XIX ENCONTRO NACIONAL DE PESQUISA EM CIÊNCIA DA INFORMAÇÃO (XIX ENANCIB)","topic":"Information Science and Libraries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Sociology; Philosophy","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","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.006461005,0.001777326,0.001695797,0.001564844,0.00243149,0.005022457,0.005794483,0.001267197,0.002572155],"category_scores_gemma":[0.0039502,0.001758737,0.0007923018,0.003988917,0.001368517,0.01116424,0.002614023,0.001936233,0.002588778],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003141914,"about_ca_system_score_gemma":0.01127684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008701754,"about_ca_topic_score_gemma":0.0004007177,"domain_scores_codex":[0.9847424,0.0007396084,0.003498013,0.001885239,0.00356943,0.005565325],"domain_scores_gemma":[0.9896132,0.00103592,0.001863516,0.003045097,0.001723775,0.002718451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003848396,0.001735817,0.03360188,0.0009284187,0.001330513,0.001468873,0.3446878,0.001692952,0.01195397,0.3808157,0.1460977,0.07183794],"study_design_scores_gemma":[0.01699834,0.003750881,0.04106272,0.001375609,0.0009952112,0.007411399,0.03111651,0.4860877,0.05411506,0.01599497,0.3334435,0.007648035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5602967,0.0008068844,0.4044994,0.006037734,0.005599794,0.003271171,0.0007181194,0.001284356,0.0174858],"genre_scores_gemma":[0.962733,0.0001471981,0.0156268,0.01441658,0.002528873,0.0003169008,0.0002185042,0.0001440135,0.003868131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4843948,"threshold_uncertainty_score":0.9995846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592148375924555,"score_gpt":0.2825641438784768,"score_spread":0.2566426601192313,"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."}}