{"id":"W2886238831","doi":"","title":"La geopolítica de las humanidades digitales: un caso de estudio de DH2017 Montreal","year":2018,"lang":"es","type":"article","venue":"Repositorio Institucional de la Universidad de Málaga (University of Málaga)","topic":"Educational Technology in Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001260034,0.0005064839,0.0005606374,0.0007105898,0.001885536,0.0003843707,0.002615916,0.001130169,0.00006674739],"category_scores_gemma":[0.0004741584,0.0007146516,0.0003724688,0.0008610738,0.002851418,0.0011583,0.001055912,0.001238147,0.00008258653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003216905,"about_ca_system_score_gemma":0.004402255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002348604,"about_ca_topic_score_gemma":0.0003910344,"domain_scores_codex":[0.9959426,0.0008847201,0.0003289275,0.0009233267,0.0007062939,0.00121413],"domain_scores_gemma":[0.9960791,0.001197989,0.0005568546,0.0009420325,0.0005979436,0.0006261229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003120643,0.001364422,0.2808973,0.0002629607,0.001202094,0.007577404,0.03366321,0.001222003,0.008600356,0.651804,0.006115282,0.006978896],"study_design_scores_gemma":[0.003539241,0.001023901,0.8072671,0.001256002,0.0008716243,0.008114002,0.01960057,0.01081989,0.004723946,0.01536444,0.1255592,0.001860081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901429,0.0003576054,0.04891723,0.001592891,0.0004581357,0.0001996551,0.00003444175,0.0003427301,0.04666831],"genre_scores_gemma":[0.9522824,0.0002902338,0.04482901,0.0001090867,0.0005728862,9.509446e-7,0.00001220834,0.0000404196,0.001862863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6364396,"threshold_uncertainty_score":0.9998623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00830150360848756,"score_gpt":0.2495770003546097,"score_spread":0.2412754967461221,"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."}}