{"id":"W7094743818","doi":"","title":"Essais sur des Ajustements Macroéconomiques des Prix","year":2013,"lang":"en","type":"article","venue":"theses.fr (ABES)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public investment; Cost analysis; Economic analysis","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":["insufficient_payload"],"category_scores_codex":[0.00071596,0.0003085913,0.0005857061,0.0002150341,0.0002577972,0.0003904928,0.0004827615,0.0001618428,0.004881121],"category_scores_gemma":[0.0001702193,0.0003475796,0.0001782002,0.0001555198,0.0002770491,0.00105054,0.0001760345,0.0001636897,0.007754729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003208132,"about_ca_system_score_gemma":0.00002512015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009007541,"about_ca_topic_score_gemma":0.0005134731,"domain_scores_codex":[0.9979036,0.00003381212,0.0008057478,0.0005364052,0.00002899662,0.0006914028],"domain_scores_gemma":[0.998687,0.0001275971,0.0003404699,0.0005800375,0.0000664881,0.000198381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002984643,0.0002995645,0.8106681,0.0002206068,0.000236228,0.000005659768,0.004152753,0.0001121891,0.0001039011,0.1190718,0.001833327,0.06326594],"study_design_scores_gemma":[0.002314673,0.0002307249,0.296639,0.0001983215,0.00004581716,0.00002317698,0.002412965,0.005920538,0.001733915,0.4687001,0.2196433,0.00213742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6444256,0.0003716016,0.0003747429,0.00009152704,0.0002612761,0.0002558161,0.00003094917,0.0001057422,0.3540828],"genre_scores_gemma":[0.9947571,0.001464515,0.002178552,0.0002421905,0.0001868318,0.00008997013,0.00001468582,0.0000800844,0.0009860648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5140291,"threshold_uncertainty_score":0.9998976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05984279677357453,"score_gpt":0.214406128496381,"score_spread":0.1545633317228065,"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."}}