{"id":"W4391930960","doi":"10.30554/archmed.23.2.4825.2023","title":"Modelo predictivo en comprensión de lectura impresa y digital en estudiantes universitarios","year":2024,"lang":"en","type":"article","venue":"Archivos de Medicina (Manizales)","topic":"Literacy and Educational Practices","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open access publishing; Computer science; Art; Humanities; Library 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":[],"consensus_categories":[],"category_scores_codex":[0.0007097699,0.0001657508,0.0001716792,0.0001655158,0.0004703199,0.0002753976,0.0004585123,0.00009302825,0.0003148465],"category_scores_gemma":[0.0009888543,0.0001519999,0.00007874392,0.000350039,0.0003278154,0.001150331,0.000121948,0.0004621984,0.0001408081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003503929,"about_ca_system_score_gemma":0.001143832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002282585,"about_ca_topic_score_gemma":0.0003484944,"domain_scores_codex":[0.9981756,0.0003270323,0.0001976828,0.0003352596,0.0004515375,0.0005129068],"domain_scores_gemma":[0.9962326,0.003184543,0.00004998021,0.0001815975,0.00006628619,0.0002849802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001224165,0.0002653988,0.03603554,0.0002265975,0.0004415966,0.0004775636,0.6858449,0.0005687868,0.0003462315,0.1867672,0.02636092,0.06254281],"study_design_scores_gemma":[0.0007448365,0.0003078612,0.05565152,0.0006577609,0.0003771609,0.0002386477,0.08104422,0.0286323,0.0001158798,0.09041237,0.7410274,0.0007901066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8344623,0.001492871,0.006955605,0.0225844,0.001055054,0.0003886223,0.00006865384,0.0004109072,0.1325816],"genre_scores_gemma":[0.9944077,0.0004263169,0.0008356373,0.0004514683,0.001334861,0.000007111038,0.0000412116,0.00002261351,0.002473079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7146664,"threshold_uncertainty_score":0.6198376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007223947957441001,"score_gpt":0.3097117094958731,"score_spread":0.3024877615384321,"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."}}