{"id":"W1850097402","doi":"","title":"El enfoque basado en conocimiento para la extracción automática de palabras clave","year":2013,"lang":"es","type":"article","venue":"Computación y Sistemas","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Computer Research Institute of Montréal; Polytechnique Montréal","funders":"","keywords":"Humanities; 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":[],"consensus_categories":[],"category_scores_codex":[0.003172502,0.001439462,0.0008525549,0.002463812,0.001460321,0.003872896,0.001076553,0.001782415,0.01639156],"category_scores_gemma":[0.01554967,0.0005174043,0.0008021264,0.001729816,0.0008757405,0.003156743,0.001471691,0.001555286,0.005573783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009778421,"about_ca_system_score_gemma":0.001803238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008319208,"about_ca_topic_score_gemma":0.009716902,"domain_scores_codex":[0.997531,0.0006933758,0.0001489538,0.0005932283,0.0007957462,0.0002377012],"domain_scores_gemma":[0.9932693,0.00240986,0.0002342647,0.001267947,0.00263032,0.0001884624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009889286,0.000240248,0.01034081,0.001092082,0.00008873025,0.0006258279,0.0015624,0.004177507,0.08975573,0.01462909,0.01676415,0.8597344],"study_design_scores_gemma":[0.0002265238,0.0009007795,0.0394087,0.001430887,0.00118604,0.003523221,0.005357143,0.1604759,0.367181,0.0489286,0.3710548,0.0003264573],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1163258,0.005076115,0.8055489,0.003869303,0.001769085,0.0004613169,0.001666935,0.02161961,0.04366282],"genre_scores_gemma":[0.3942171,0.002856198,0.5575758,0.0008456588,0.0003674164,0.0002813155,0.002730397,0.002422532,0.03870361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01639156,"threshold_uncertainty_score":0.0548352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429719370530101,"score_gpt":0.2998249585096376,"score_spread":0.2855277648043366,"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."}}