{"id":"W4408559500","doi":"10.3917/flux1.138.0141","title":"Magalhaes N., Accumuler du béton, tracer des routes. Une histoire environnementale des grandes infrastructures , Paris, La Fabrique, 2024, 304 p. Avec un regard croisé avec deux autres ouvrages : CHOPLIN A., Matière grise de l’urbain : La vie du ciment en Afrique, Illustrated édition, Genève, Métis Presses, 2020, 256 p. BASTIN A., Gouverner le métabolisme : les terres excavées franciliennes, 2023, Edition PUCA.","year":2025,"lang":"fr","type":"article","venue":"Flux","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.001433606,0.00182172,0.0007391368,0.006616605,0.00339198,0.002809892,0.001823973,0.003611062,0.02031212],"category_scores_gemma":[0.003484278,0.0007644581,0.0007281374,0.006312683,0.002878782,0.01010983,0.001643333,0.002509709,0.007584642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003557408,"about_ca_system_score_gemma":0.003982385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2220997,"about_ca_topic_score_gemma":0.3596683,"domain_scores_codex":[0.9992265,0.0001830807,0.00004956899,0.0001144972,0.000375621,0.00005088648],"domain_scores_gemma":[0.9986452,0.0004919837,0.0000953571,0.00005612072,0.0006231041,0.00008819863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005572555,0.00001290519,0.0008913775,0.001172151,0.00002828062,0.0002421108,0.005206643,0.0002227481,0.000442391,0.0214735,0.7273676,0.2428847],"study_design_scores_gemma":[0.000005325949,0.000008895781,0.002506419,0.0009305259,0.00001619981,0.0002278553,0.002037271,0.00005913513,0.0002988023,0.005247236,0.9886467,0.00001560038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001138114,0.9345835,0.002678238,0.0317753,0.006161266,0.0000268498,0.0008965491,0.0001552763,0.02258483],"genre_scores_gemma":[0.03357176,0.8159138,0.01426335,0.008237301,0.004999457,0.0001026584,0.000643855,0.0004028869,0.1218649],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2220997,"threshold_uncertainty_score":0.4416138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005578142186791475,"score_gpt":0.218035105964863,"score_spread":0.2124569637780716,"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."}}