{"id":"W2932748594","doi":"","title":"Drones recreativos, responsabilidad civil y protección de datos (Tras la reforma de 2017)","year":2019,"lang":"es","type":"article","venue":"Revista de Derecho Civil","topic":"Law, Ethics, and AI Impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Philosophy","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006671341,0.0008464635,0.00106281,0.000453539,0.0005517743,0.003361992,0.001231318,0.0009300553,0.002167214],"category_scores_gemma":[0.002808616,0.0008051518,0.0004697167,0.0008216179,0.0004367256,0.002233691,0.0004928212,0.001479046,0.002311611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00070958,"about_ca_system_score_gemma":0.0008864078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025357,"about_ca_topic_score_gemma":0.0002936196,"domain_scores_codex":[0.994755,0.0006823714,0.001024458,0.001016442,0.0007287428,0.001792976],"domain_scores_gemma":[0.9960823,0.0008758747,0.0008751315,0.001608806,0.0003483912,0.0002094766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002345064,0.001753777,0.5657389,0.02923097,0.001198573,0.0005643955,0.003220777,0.000124829,0.01580269,0.1656534,0.1681738,0.04619293],"study_design_scores_gemma":[0.00178689,0.0001089827,0.03576285,0.004996911,0.0004444894,0.0001421065,0.0007826193,0.001616116,0.0005857265,0.006379042,0.9459366,0.001457708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8112328,0.006918228,0.001777635,0.00720534,0.0005149701,0.003117107,0.0001093068,0.0006951218,0.1684295],"genre_scores_gemma":[0.98262,0.002524213,0.0006484647,0.002611561,0.001618631,0.000124609,0.00008280571,0.0002293814,0.00954031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7777628,"threshold_uncertainty_score":0.99944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133947722883453,"score_gpt":0.2798747358050707,"score_spread":0.2585352585762362,"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."}}