{"id":"W3004136362","doi":"","title":"GESTÃO DO CONHECIMENTO NO SETOR PÚBLICO: CASOS DO BRASIL, CANADÁ E PORTUGAL","year":2019,"lang":"pt","type":"article","venue":"","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Context (archaeology); Philosophy; Geography","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":[0.001398978,0.0003054092,0.0006860417,0.003854957,0.01240616,0.008221827,0.001049069,0.001121029,0.006396031],"category_scores_gemma":[0.007201479,0.0003708231,0.0003430595,0.01582874,0.005359159,0.001844503,0.003793509,0.001126177,0.0003047127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05078259,"about_ca_system_score_gemma":0.09107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9877609,"about_ca_topic_score_gemma":0.9954978,"domain_scores_codex":[0.9968196,0.0003448573,0.0001017673,0.0002425869,0.0009713667,0.00151988],"domain_scores_gemma":[0.9944917,0.001424973,0.0008040672,0.0002822417,0.001647622,0.001349392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002168382,0.0001517676,0.4516228,0.0009139964,0.00007024665,0.00866859,0.2771614,0.001270111,0.0009816702,0.1303832,0.01510977,0.1134496],"study_design_scores_gemma":[0.000020035,0.00002707349,0.413446,0.0009609672,0.00007424175,0.001076008,0.4690553,0.0007451417,0.0005154259,0.002836355,0.1111615,0.00008192015],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8656179,0.002573229,0.0003673944,0.006040981,0.00003770617,0.0001260906,0.001298373,0.00003817447,0.1239002],"genre_scores_gemma":[0.9909868,0.001478201,0.0003638222,0.0002039235,0.000006693393,0.00001926404,0.0002322016,0.00001763701,0.00669154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05078259,"threshold_uncertainty_score":0.3684552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476579482154634,"score_gpt":0.2316996612708227,"score_spread":0.2169338664492764,"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."}}