{"id":"W7037337444","doi":"","title":"EL PROCESO DE CONCERTACIÃN Y LA REFORMA DE PENSIONES","year":2011,"lang":"es","type":"article","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Freedom of Expression and Defamation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Census; Quarter (Canadian coin); Demographic transition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002895306,0.0002945221,0.0001894949,0.0008677548,0.0023538,0.003817719,0.0004424337,0.0008801533,0.01177537],"category_scores_gemma":[0.004153641,0.0001888333,0.0002498054,0.0009484943,0.00261389,0.001796334,0.002286153,0.001583537,0.001445578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006822075,"about_ca_system_score_gemma":0.006362271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03439205,"about_ca_topic_score_gemma":0.03788596,"domain_scores_codex":[0.9984474,0.0005482308,0.00005433249,0.0002317813,0.0003483328,0.0003700065],"domain_scores_gemma":[0.9980799,0.0003076953,0.0005330948,0.000311573,0.0003281884,0.0004394959],"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":[0.0005765863,0.00008503926,0.03163585,0.0003893167,0.00005168448,0.0002574476,0.01513867,0.001648066,0.002416654,0.7361087,0.03512671,0.1765653],"study_design_scores_gemma":[0.00007301533,0.0001738556,0.06941415,0.0003845387,0.00002833298,0.0002008298,0.004839145,0.0009555486,0.001266362,0.03143729,0.8911881,0.00003884225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3662107,0.01516228,0.01375033,0.03973034,0.0008617253,0.0002281608,0.0009778148,0.0002744648,0.5628042],"genre_scores_gemma":[0.866819,0.003261722,0.003069481,0.0007091268,0.0002921998,0.0000666413,0.0002370496,0.00002749019,0.1255172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03439205,"threshold_uncertainty_score":0.06838375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780680841724778,"score_gpt":0.2789405966901471,"score_spread":0.2511337882728993,"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."}}