{"id":"W2607239902","doi":"10.46430/phes0020","title":"Normalizar datos de texto con Python","year":2017,"lang":"es","type":"article","venue":"The Programming Historian en español","topic":"Engineering and Information Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Humanities; Python (programming language); Art; Computer science; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001100135,0.0002806985,0.0002649089,0.0001404679,0.001200511,0.0009684877,0.003390639,0.0002800116,0.00001895511],"category_scores_gemma":[0.0003727639,0.0002381682,0.0001174292,0.0001229718,0.0003396817,0.0007994365,0.0006186351,0.0005428644,0.000395336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004219064,"about_ca_system_score_gemma":0.0001623989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001831425,"about_ca_topic_score_gemma":0.00001707237,"domain_scores_codex":[0.9982992,0.00007181974,0.0003751671,0.000315017,0.0002912323,0.0006475216],"domain_scores_gemma":[0.9969099,0.00008195579,0.0004325751,0.002334906,0.00009699653,0.0001437233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001373328,0.00006176675,0.0006821923,0.0001367362,0.00006621857,0.00002573656,0.01069118,0.0001565281,0.0003012741,0.2468132,0.004159775,0.7368917],"study_design_scores_gemma":[0.0003180246,0.0001542019,0.000674125,0.00009778114,0.00003285242,0.00006259994,0.00005946997,0.01704136,0.00100958,0.0006236448,0.9796072,0.0003192089],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01581347,0.002556294,0.8838688,0.01771622,0.0106037,0.001729956,0.00002096024,0.003482355,0.0642083],"genre_scores_gemma":[0.9615682,0.0001282422,0.0234238,0.0001998521,0.0007898242,0.0000836064,0.000005969712,0.00005320295,0.01374728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9754474,"threshold_uncertainty_score":0.9712217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742917537624753,"score_gpt":0.2757389968967536,"score_spread":0.258309821520506,"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."}}