{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01707089,0.0005300989,0.0006244977,0.009252303,0.0040805,0.0105178,0.001304594,0.001176409,0.00636919],"category_scores_gemma":[0.07309074,0.0004036622,0.0009516825,0.01878417,0.01053076,0.0108674,0.006130713,0.00204351,0.0006004955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01464261,"about_ca_system_score_gemma":0.01292345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06690142,"about_ca_topic_score_gemma":0.05835474,"domain_scores_codex":[0.9772336,0.01039583,0.001495022,0.001904599,0.008005077,0.0009658028],"domain_scores_gemma":[0.930968,0.04263562,0.00479069,0.005213125,0.01542741,0.0009651616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002791214,0.0000793778,0.06520054,0.001452501,0.0001091975,0.0002126765,0.5638272,0.00110559,0.003110016,0.2402978,0.004055227,0.1202709],"study_design_scores_gemma":[0.00002712649,0.000136631,0.1278053,0.001208604,0.0001778409,0.000326885,0.6430086,0.003738002,0.004721943,0.100047,0.118631,0.0001711053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7250494,0.002966541,0.09242821,0.00688011,0.0001896976,0.0007351286,0.003376983,0.0004430667,0.1679308],"genre_scores_gemma":[0.9677871,0.0009070705,0.02270072,0.0002029455,0.00002143188,0.0004002137,0.0006543907,0.0002069519,0.007119206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06690142,"threshold_uncertainty_score":0.133024,"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."}}