{"id":"W2899387524","doi":"10.46430/phes0040","title":"Introducción a Topic Modeling y MALLET","year":2018,"lang":"es","type":"article","venue":"The Programming Historian en español","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Carleton University","funders":"","keywords":"Mallet; Humanities; Computer science; Philosophy; Physics; Acoustics","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":[0.004303176,0.001242802,0.001323781,0.002741994,0.001269435,0.004775988,0.002153456,0.002386143,0.02010817],"category_scores_gemma":[0.01259086,0.0009904385,0.001921377,0.007166893,0.00164777,0.007543474,0.002692904,0.005129485,0.008819087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775994,"about_ca_system_score_gemma":0.001909653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005007708,"about_ca_topic_score_gemma":0.003587654,"domain_scores_codex":[0.9971402,0.001172218,0.0002029209,0.0007748671,0.0005624605,0.000147332],"domain_scores_gemma":[0.9923894,0.005818425,0.0003481988,0.0006510641,0.0005796164,0.0002134428],"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":[0.0002064421,0.0001016849,0.003742874,0.001156918,0.0002393148,0.0003907713,0.001388851,0.02093159,0.001293439,0.5112877,0.07417413,0.3850864],"study_design_scores_gemma":[0.00003902976,0.00006979125,0.001693555,0.0006415492,0.0001208674,0.0007701792,0.0002759538,0.08369783,0.00121182,0.4169189,0.4944578,0.0001025689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003492788,0.02555721,0.9290394,0.009634176,0.002481797,0.0001405664,0.002165185,0.001463331,0.02602561],"genre_scores_gemma":[0.1440115,0.05480713,0.7072608,0.006284208,0.01815438,0.001031047,0.00690684,0.002164206,0.05937994],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02010817,"threshold_uncertainty_score":0.06726849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174250920619393,"score_gpt":0.2677993453107185,"score_spread":0.2503742532487792,"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."}}