{"id":"W110773921","doi":"","title":"La corte de justicia y el trauma del caballo de Troya","year":2008,"lang":"es","type":"article","venue":"Derecho Laboral. Revista de doctrina, jurisprudencia e informaciones sociales","topic":"Human Rights and Immigration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy; Art","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","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002929065,0.000896538,0.00114771,0.0004718708,0.003603102,0.001280916,0.001280114,0.001344898,0.000447079],"category_scores_gemma":[0.0008247748,0.0008975482,0.0006392783,0.001615727,0.001804107,0.001717199,0.0001507179,0.001338247,0.0003972423],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002812543,"about_ca_system_score_gemma":0.006099326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004779996,"about_ca_topic_score_gemma":0.002511222,"domain_scores_codex":[0.9928207,0.0013876,0.001584423,0.0006983026,0.001344645,0.002164345],"domain_scores_gemma":[0.9960203,0.0006851336,0.001051784,0.0005884866,0.0008275653,0.0008267767],"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":[0.0004200769,0.0007963726,0.06853154,0.000903798,0.0004627299,0.0006850381,0.1187967,0.00007281579,0.0005325955,0.7189448,0.01888376,0.07096981],"study_design_scores_gemma":[0.002396671,0.0003079645,0.1483291,0.0006055435,0.0007032389,0.0002489897,0.01145352,0.0006639007,0.0008622475,0.003562185,0.8289157,0.001951005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745539,0.002971895,0.001421701,0.001149888,0.0004132424,0.0009826036,0.0002716131,0.0004200001,0.01781509],"genre_scores_gemma":[0.9778806,0.01577079,0.001280709,0.00102062,0.00174986,0.0001189106,0.0001090395,0.00009417152,0.00197527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8100319,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04212701339938366,"score_gpt":0.3468349307465093,"score_spread":0.3047079173471256,"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."}}