{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001918764,0.0008198217,0.0007216539,0.0008692952,0.001912579,0.002626803,0.002520144,0.0008804471,0.0002647303],"category_scores_gemma":[0.001451843,0.0007939502,0.000435414,0.002444065,0.00007990394,0.0050714,0.0006102808,0.001124987,0.000349917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006350654,"about_ca_system_score_gemma":0.002658607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.829198e-7,"about_ca_topic_score_gemma":0.00002068126,"domain_scores_codex":[0.9926597,0.0008182597,0.001446186,0.001329817,0.002114897,0.001631164],"domain_scores_gemma":[0.9950787,0.0004556114,0.0008290792,0.001653926,0.0009166031,0.00106601],"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":[0.00005003953,0.0003603757,0.0002660477,0.00008663302,0.00008410158,0.00009805521,0.006400539,0.0001221751,0.0002324667,0.9644771,0.02620082,0.001621639],"study_design_scores_gemma":[0.001100294,0.0001217168,0.001111164,0.0001636368,0.00004838742,0.0009401646,0.001103934,0.002857378,0.001400539,0.001305455,0.9889064,0.0009408853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007550577,0.001648093,0.1587936,0.05238217,0.0384607,0.001611374,0.000145966,0.001353385,0.7380541],"genre_scores_gemma":[0.9833274,0.0001458618,0.009289959,0.001186028,0.003203533,0.0001424594,0.00005174117,0.00005517882,0.00259777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9757769,"threshold_uncertainty_score":0.9994512,"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."}}