{"id":"W2751546189","doi":"10.5151/16ergodesign-0213","title":"AVALIAÇÃO E MELHORIA DA EXPERIÊNCIA DE USO DO SISTEMA INTEGRADO DE BUSCA DAS BIBLIOTECAS MUNICIPAIS DE SÃO PAULO","year":2017,"lang":"pt","type":"article","venue":"","topic":"Information Architecture and Usability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Art; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009444508,0.0003347547,0.0004924749,0.002419125,0.002391995,0.004562162,0.0008519292,0.0009142011,0.001792914],"category_scores_gemma":[0.03153881,0.0006008648,0.0003779796,0.004727595,0.002764287,0.002862651,0.004381103,0.0007290468,0.000212063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003719992,"about_ca_system_score_gemma":0.004086758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04585548,"about_ca_topic_score_gemma":0.07817565,"domain_scores_codex":[0.9929184,0.004514151,0.0003694687,0.0006185242,0.001153274,0.0004262816],"domain_scores_gemma":[0.9671161,0.02533684,0.001883193,0.001813011,0.0027607,0.001090125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000331169,0.0003209882,0.1656423,0.0006285106,0.00009252345,0.0007081275,0.7580979,0.000902429,0.007254314,0.001664532,0.0007902921,0.06356683],"study_design_scores_gemma":[0.0000718628,0.001497485,0.3116364,0.0003732749,0.0001598759,0.0003550134,0.6572415,0.002873276,0.003997475,0.0009139873,0.02077664,0.0001031893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962221,0.00007802578,0.0005140252,0.0002008443,0.000002485336,0.00005262739,0.00004740299,0.00002608434,0.00285642],"genre_scores_gemma":[0.9970288,0.0001468233,0.001709923,0.00002656101,0.000001909088,0.00004386555,0.00004721641,0.00001031556,0.0009846177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9954379,"threshold_uncertainty_score":0.09117711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04581117730133965,"score_gpt":0.3433874457303229,"score_spread":0.2975762684289832,"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."}}