{"id":"W7037542909","doi":"","title":"El sistema de transferencias intergubernamentales en Canadá, con especial referencia a la transferencia de nivelación","year":2020,"lang":"es","type":"article","venue":"idUS (Universidad de Sevilla)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Work (physics); Federal state; Public policy","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004361097,0.0005759176,0.0006801568,0.0002908237,0.0005406681,0.0002889227,0.001028295,0.0006312076,0.006256099],"category_scores_gemma":[0.00006979392,0.000669246,0.0004136803,0.0005778185,0.0003439889,0.0004886372,0.00005994986,0.0008181523,0.0005164981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004034841,"about_ca_system_score_gemma":0.001297983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01202298,"about_ca_topic_score_gemma":0.04116248,"domain_scores_codex":[0.9964405,0.0008174303,0.0003687927,0.0007771187,0.0004810217,0.001115175],"domain_scores_gemma":[0.9979199,0.0004357175,0.0001299897,0.0002682867,0.0000801943,0.001165956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00302703,0.0002417064,0.8294656,0.000916826,0.001302678,0.004771453,0.07139837,0.0005168481,0.001807898,0.004396245,0.01196665,0.07018866],"study_design_scores_gemma":[0.005263601,0.001855872,0.6471447,0.0005879974,0.001161068,0.000457836,0.03908908,0.004803572,0.001336996,0.0003321683,0.2957793,0.002187756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9112508,0.0005693212,0.001048659,0.004906392,0.0002159853,0.0004047892,0.00145492,0.0001824345,0.07996667],"genre_scores_gemma":[0.9963208,0.0008435392,0.0004369941,0.001511752,0.0004239738,0.000001447333,0.0001258494,0.00002484136,0.0003107946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2838127,"threshold_uncertainty_score":0.9995759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047974556903227,"score_gpt":0.2235077227293168,"score_spread":0.1930279771602846,"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."}}