{"id":"W1968532193","doi":"","title":"Lignes ferroviaires à grande vitesse et dynamiques locales : une analyse comparée de la littérature","year":2010,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Humanities; Political science; Art","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":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.009712932,0.0006354505,0.001267947,0.000538632,0.0006442738,0.001278667,0.001477713,0.001426412,0.001259116],"category_scores_gemma":[0.001757367,0.0007650275,0.0007760089,0.001363244,0.0007709024,0.0003776009,0.0007674168,0.002413054,0.0002708856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001727584,"about_ca_system_score_gemma":0.0003057596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008344128,"about_ca_topic_score_gemma":0.02100375,"domain_scores_codex":[0.9916039,0.004709747,0.001594567,0.001294994,0.0001961614,0.0006007064],"domain_scores_gemma":[0.9918896,0.002233412,0.001992765,0.00233963,0.001185007,0.0003595713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002574673,0.001454072,0.1780617,0.0002271308,0.0006014917,0.00001541467,0.01022511,0.002834933,0.0002965007,0.7846463,0.001941028,0.01967051],"study_design_scores_gemma":[0.001845909,0.000002502978,0.4393193,0.002846836,0.000431117,0.00004572089,0.001199545,0.2385245,0.008467464,0.05507522,0.2500463,0.00219563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.376987,0.01790075,0.3000073,0.07443459,0.0007524259,0.0004413621,0.001052531,0.0002631156,0.2281609],"genre_scores_gemma":[0.9273008,0.006070727,0.02068898,0.0002578133,0.00009138779,0.00007720858,0.001575804,0.00007460536,0.04386271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7295711,"threshold_uncertainty_score":0.9998884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638507499137877,"score_gpt":0.2416040967516451,"score_spread":0.2252190217602663,"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."}}