{"id":"W7120773450","doi":"","title":"NOTA DO EDITOR","year":2003,"lang":"pt","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Information Science and Libraries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Term (time); Government (linguistics); State (computer science); Order (exchange)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004772914,0.001385366,0.001963999,0.001900859,0.002324616,0.008608741,0.003643161,0.0121213,0.06842782],"category_scores_gemma":[0.0368339,0.000639579,0.001218649,0.001264986,0.002142751,0.006705804,0.001864541,0.0105856,0.04749976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002034598,"about_ca_system_score_gemma":0.00525635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143942,"about_ca_topic_score_gemma":0.002319774,"domain_scores_codex":[0.9960343,0.000591384,0.0005586837,0.000690646,0.001786918,0.0003380903],"domain_scores_gemma":[0.9684476,0.005228023,0.002065981,0.001635936,0.01761258,0.005009847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001755289,0.000008814192,0.00005727439,0.0002389143,0.000006802952,0.00009057714,0.00002123597,0.00001254402,0.00005024228,0.0004915028,0.9869232,0.01208126],"study_design_scores_gemma":[0.000009132938,0.00001271237,0.0001661145,0.0002930932,0.000008221576,0.0001829536,0.00006904013,0.00002756622,0.00006280105,0.000584094,0.9985756,0.00000880306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001187253,0.009225009,0.0001879645,0.1960966,0.784819,0.00004572423,0.0001695247,0.0001031066,0.00923434],"genre_scores_gemma":[0.002556761,0.01613173,0.0004505266,0.2398326,0.6582792,0.0001055547,0.0002268024,0.0001469271,0.08226999],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9315722,"threshold_uncertainty_score":0.2289138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342469471250707,"score_gpt":0.2453168518675649,"score_spread":0.2218921571550578,"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."}}