{"id":"W6939176357","doi":"10.60692/gze1f-5tv90","title":"Producción científica UNdeC 2016-2018","year":2020,"lang":"es","type":"article","venue":"Greater South Information System","topic":"Scientific Research and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Context (archaeology); Period (music); Publication","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004149937,0.001243445,0.000946653,0.01737869,0.001054823,0.004716934,0.001111354,0.000748724,0.01232389],"category_scores_gemma":[0.00826293,0.0004728547,0.001067097,0.01866688,0.0006774134,0.002377606,0.001809326,0.001177175,0.009073121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006832421,"about_ca_system_score_gemma":0.01226621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04965699,"about_ca_topic_score_gemma":0.04714332,"domain_scores_codex":[0.9957324,0.0001667433,0.0003475831,0.000399745,0.002963657,0.0003899107],"domain_scores_gemma":[0.9900333,0.001085514,0.001117613,0.001237615,0.005880399,0.0006454599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003659331,0.0004513966,0.07929199,0.01358342,0.0003780553,0.001117475,0.003036758,0.001853815,0.03063517,0.009669055,0.1799085,0.676415],"study_design_scores_gemma":[0.00003308813,0.0001681478,0.1132057,0.001282515,0.0001072485,0.0002324127,0.0005733208,0.0001296647,0.009543531,0.0003044087,0.8743851,0.000034837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1955763,0.04765651,0.002712099,0.001865233,0.001999985,0.0007449805,0.441638,0.001559523,0.3062473],"genre_scores_gemma":[0.2855468,0.05596415,0.01310677,0.00031254,0.0007216302,0.0005979008,0.4766712,0.0008122,0.1662668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9826213,"threshold_uncertainty_score":0.09873593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05955366900912327,"score_gpt":0.2388565694810297,"score_spread":0.1793029004719064,"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."}}