{"id":"W3023673705","doi":"10.4000/craup.3334","title":"La Station Nation du RER A. Un patrimoine souterrain","year":2020,"lang":"fr","type":"article","venue":"Cahiers de la recherche architecturale urbaine et paysagère","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.004217645,0.0006092665,0.0005249396,0.0001711007,0.0001240558,0.0002395656,0.0004166974,0.001714718,0.0004707264],"category_scores_gemma":[0.008728557,0.0006255036,0.0003075899,0.0009401587,0.000637554,0.0004332742,0.000103517,0.004973261,0.00003573332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002170823,"about_ca_system_score_gemma":0.0004382069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001829868,"about_ca_topic_score_gemma":0.00003921093,"domain_scores_codex":[0.9904944,0.007062668,0.0006414731,0.0006441695,0.0003587686,0.0007985301],"domain_scores_gemma":[0.9927308,0.005984158,0.0001600871,0.0004353388,0.0001896698,0.0004999281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003295997,0.0001253736,0.002192889,0.002057298,0.0005183807,0.0003312294,0.516573,0.06115002,0.01023716,0.01899325,0.01560514,0.3718866],"study_design_scores_gemma":[0.004121826,0.0006263239,0.01544246,0.0002456945,0.0004259322,0.0005596072,0.009506299,0.1356143,0.004790598,0.2284677,0.5981554,0.002043917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2826262,0.004596788,0.4992417,0.1905534,0.0005192937,0.0008276749,0.0001394571,0.0007711708,0.02072427],"genre_scores_gemma":[0.8983763,0.0007439583,0.09230718,0.003159629,0.0009263098,0.00005724746,0.0002451185,0.0001861037,0.003998149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6157501,"threshold_uncertainty_score":0.9996213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03741511698103109,"score_gpt":0.281566613151391,"score_spread":0.2441514961703599,"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."}}