{"id":"W4205128105","doi":"10.21680/2447-0198.2017v1n3id11003","title":"Seminário do CCSA-UFRN: mapeamento temático das produções científicas na área de Ciência da Informação","year":2017,"lang":"pt","type":"article","venue":"Revista Informação na Sociedade Contemporânea","topic":"Information Science and Libraries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Geography; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"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","scholarly_communication"],"category_scores_codex":[0.005876246,0.00156896,0.001748099,0.0007240027,0.006111111,0.02901852,0.009831116,0.000933663,0.0003843789],"category_scores_gemma":[0.001860076,0.001471615,0.001104605,0.001407108,0.001730985,0.03305827,0.00398573,0.001705092,0.002137477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009045824,"about_ca_system_score_gemma":0.003960135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001606861,"about_ca_topic_score_gemma":0.00001063434,"domain_scores_codex":[0.9883922,0.0002236122,0.003770815,0.001395232,0.003101065,0.003117088],"domain_scores_gemma":[0.9867887,0.0003532094,0.004602479,0.005643064,0.001152558,0.001459964],"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":[0.0003488861,0.0005785713,0.03602599,0.003638391,0.000777747,0.0002051129,0.2812144,0.0001587731,0.0004787949,0.3141122,0.1405414,0.2219197],"study_design_scores_gemma":[0.003233187,0.0004969758,0.008940911,0.001473665,0.0001433577,0.0002310229,0.01607524,0.04066158,0.001559808,0.0002059233,0.9242972,0.002681104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2594245,0.01443801,0.1779382,0.03198174,0.01507274,0.01630104,0.00153763,0.003845325,0.4794608],"genre_scores_gemma":[0.9668615,0.0007308604,0.002304524,0.006493921,0.0006301849,0.0002050374,0.0001687929,0.00009178671,0.02251341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7837558,"threshold_uncertainty_score":0.9997059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05186569232995909,"score_gpt":0.3237649702042633,"score_spread":0.2718992778743042,"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."}}