{"id":"W1510259573","doi":"","title":"Le point sur les pensions","year":2011,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension plan; Pension; Welfare economics; Political science; Context (archaeology); Social security; Humanities; Economics; Geography; Art; Law","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":[0.0029766,0.001302232,0.001104343,0.001667908,0.003315344,0.00747136,0.001296086,0.004033524,0.05177217],"category_scores_gemma":[0.006509877,0.0003194273,0.0008063621,0.001756295,0.003279066,0.004724249,0.002562562,0.009601912,0.02199867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008055893,"about_ca_system_score_gemma":0.006164094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09097583,"about_ca_topic_score_gemma":0.0434387,"domain_scores_codex":[0.9943504,0.001399116,0.0001351253,0.0004959103,0.002744569,0.0008748859],"domain_scores_gemma":[0.9984301,0.0003334714,0.0001302039,0.0002608626,0.0005989311,0.0002463871],"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":[0.0001173558,0.00005176989,0.0009934853,0.0001744006,0.00002960872,0.0003058647,0.0009840515,0.0003815031,0.0004687954,0.6390785,0.1588523,0.1985622],"study_design_scores_gemma":[0.00001457711,0.00001738898,0.001222853,0.0001388847,0.000003589535,0.0001471422,0.0001407105,0.0000566949,0.00009258238,0.007595025,0.9905568,0.00001360944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01408462,0.118178,0.006801501,0.1080772,0.013369,0.0001213224,0.001984861,0.0006678869,0.7367156],"genre_scores_gemma":[0.1762987,0.05910299,0.00416961,0.012116,0.007163184,0.0002085668,0.001347916,0.0002583345,0.7393346],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09097583,"threshold_uncertainty_score":0.1808926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101651892647984,"score_gpt":0.347381232433579,"score_spread":0.245729339785595,"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."}}