{"id":"W3177857454","doi":"10.15517/eci.v11i2.44300","title":"Las limitaciones de Scopus como fuente de indicadores: Buscando una visibilidad integral para revistas argentinas en ciencias sociales","year":2021,"lang":"es","type":"article","venue":"e-Ciencias de la Información","topic":"Scientific Research and Technology","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Humanities; Physics; Political science; Philosophy","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0354302,0.001074422,0.00164101,0.02214871,0.003229283,0.01577835,0.001473885,0.001205319,0.01098552],"category_scores_gemma":[0.1813555,0.0006345329,0.001269283,0.04203874,0.003585893,0.008504413,0.005065633,0.002087316,0.002116468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004858321,"about_ca_system_score_gemma":0.008658757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0429545,"about_ca_topic_score_gemma":0.03863078,"domain_scores_codex":[0.9551842,0.01710516,0.003924354,0.003230571,0.01869623,0.001859481],"domain_scores_gemma":[0.7842099,0.1071,0.03251396,0.01631063,0.05416444,0.005701011],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001090495,0.0001687621,0.2775587,0.009267712,0.001229634,0.0009410811,0.0256751,0.005264329,0.004520753,0.09162828,0.04951924,0.533136],"study_design_scores_gemma":[0.0001270945,0.0007774232,0.5573385,0.009139034,0.001241386,0.001330288,0.04427913,0.01126698,0.006630959,0.0525835,0.3148834,0.0004022528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5477367,0.05115112,0.04820926,0.03938539,0.002120035,0.0008162936,0.01987431,0.001503205,0.2892038],"genre_scores_gemma":[0.9515864,0.0126177,0.01628636,0.0008586815,0.0008133152,0.0005910672,0.004262833,0.0003706951,0.0126129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9778513,"threshold_uncertainty_score":0.1873751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253332118767159,"score_gpt":0.3406702769906637,"score_spread":0.3081369558029921,"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."}}