{"id":"W2985607091","doi":"10.20318/cdt.2019.5015","title":"Competencia judicial internacional en acciones de consumidores contra compañías aéreas. Comentario a los autos del Juzgado de lo Mercantil de Madrid de 25/9/2018, 4/10/2018, 9/10/2018, 18/10/2018 y a la sentencia de la Audiencia Provincial de Girona de 27/9/2018 = International judicial competence in consumer actions against air companies. Commentary to the authors of the Court of Commercial of Madrid of 25/9/2018, 4/10/2018, 9/10/2018, 18/10/2018 and the judgment of the Provincial Hearing of Girona on 27/9/2018","year":2019,"lang":"es","type":"article","venue":"CUADERNOS DE DERECHO TRANSNACIONAL","topic":"International Law and Aviation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air transport; Political science; Humanities; Derecho; Geography; Philosophy; Engineering","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.007381416,0.001584701,0.002654721,0.0007765656,0.001279971,0.0002422094,0.004509935,0.001286266,0.001687019],"category_scores_gemma":[0.00142561,0.001291071,0.001506468,0.001017389,0.007963366,0.000693441,0.001131381,0.002331534,0.00005222253],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00473208,"about_ca_system_score_gemma":0.006969259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02757892,"about_ca_topic_score_gemma":0.02565969,"domain_scores_codex":[0.983342,0.005109178,0.003963314,0.001488068,0.003801724,0.00229572],"domain_scores_gemma":[0.9880941,0.005204337,0.003489001,0.001333288,0.001137775,0.000741489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03076104,0.01239256,0.5662079,0.002111899,0.005753252,0.00007941468,0.07229217,0.007789128,0.09288126,0.08035204,0.1264219,0.00295737],"study_design_scores_gemma":[0.01949308,0.001714044,0.8604743,0.00436811,0.002182667,0.0003492071,0.01151386,0.0253208,0.02343315,0.004468015,0.04431255,0.002370227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701321,0.0002923392,0.001878749,0.00998461,0.00175609,0.003904389,0.007020105,0.00008955162,0.004942091],"genre_scores_gemma":[0.9931185,0.0003135081,0.001627874,0.002220541,0.001107016,0.0002282343,0.0003227596,0.0001817837,0.0008797494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2942663,"threshold_uncertainty_score":0.9999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089924802562136,"score_gpt":0.2862167233875542,"score_spread":0.2653174753619328,"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."}}