{"id":"W4414633049","doi":"","title":"Metropolitan railway system as a tool of french metropolis affirmation ? : French issues and international insights","year":2025,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Context (archaeology); Scope (computer science); German","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":[0.001471906,0.0002842769,0.0002463968,0.002079142,0.003118868,0.008246117,0.0007696804,0.00123323,0.01431416],"category_scores_gemma":[0.002968841,0.0001559086,0.0003739606,0.003080523,0.005540533,0.002983548,0.00166268,0.0008513896,0.0005740019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.024594,"about_ca_system_score_gemma":0.00614361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4861755,"about_ca_topic_score_gemma":0.3384851,"domain_scores_codex":[0.998681,0.0005761888,0.0000332645,0.0002135588,0.0001504025,0.0003456271],"domain_scores_gemma":[0.9986362,0.0005576902,0.0002445402,0.0001046867,0.0003045515,0.0001523522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008009101,0.00004586879,0.04413953,0.0002140781,0.00006040066,0.0007721999,0.04651669,0.001643926,0.0007355668,0.8515732,0.009199453,0.04501903],"study_design_scores_gemma":[0.00002321199,0.0001026332,0.2326996,0.0005530778,0.0001012182,0.0005475029,0.1238449,0.0029036,0.001005006,0.02565825,0.612457,0.000103934],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5685415,0.01533371,0.002699586,0.05135353,0.0001794012,0.00002860695,0.0005999827,0.0001292076,0.3611345],"genre_scores_gemma":[0.9855384,0.001186287,0.0002786071,0.0004347295,0.00004329519,0.000008431398,0.00005867735,0.00002050146,0.01243097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4861755,"threshold_uncertainty_score":0.9666914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018540218825174,"score_gpt":0.3457403640626804,"score_spread":0.3272001452375065,"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."}}