{"id":"W31001626","doi":"10.3382/ps/pez170","title":"Impuesto sobre la Renta de las Personas Físicas: prejubilaciones en expedientes de regulación de empleo","year":2008,"lang":"en","type":"article","venue":"Diario La Ley","topic":"Finance, Taxation, and Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Guelph","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004302522,0.000237314,0.0001813413,0.0002008011,0.0003401251,0.0003291329,0.0001923845,0.0003923051,0.00274879],"category_scores_gemma":[0.0008731272,0.0001117642,0.000122491,0.0000796898,0.0002887754,0.0001930357,0.0003473167,0.0003094256,0.0002724823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912334,"about_ca_system_score_gemma":0.0002877783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005240678,"about_ca_topic_score_gemma":0.01523708,"domain_scores_codex":[0.9997945,0.00008790038,0.000007712159,0.00003507333,0.00003151903,0.00004328067],"domain_scores_gemma":[0.9996641,0.00005812011,0.000111471,0.00001747487,0.00003639204,0.000112557],"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":[0.002911841,0.002874423,0.8827651,0.0002184439,0.0001171954,0.001202722,0.002470397,0.0001973621,0.02533634,0.0001957883,0.001730557,0.07997982],"study_design_scores_gemma":[0.00001606047,0.001395639,0.9951089,0.00004649313,0.00003320468,0.0003031915,0.0009249944,0.0001830194,0.0005520039,0.00004824755,0.001378587,0.000009595817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987978,0.0003036816,0.00005131014,0.0001372303,0.000008147777,0.000003872892,0.00003999744,0.000004156575,0.0006537923],"genre_scores_gemma":[0.9977049,0.0005065192,0.0001883054,0.0000807238,0.00001483872,0.00001462671,0.00004824566,0.000001686557,0.001440068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005240678,"threshold_uncertainty_score":0.01042032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005016234570905547,"score_gpt":0.2102669206375626,"score_spread":0.2052506860666571,"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."}}