{"id":"W4406880506","doi":"","title":"L'impact des infrastructures de transport sur les décisions de localisation et la longévité des entreprises","year":2024,"lang":"en","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Longevity; Business; Transport infrastructure; Geography; Engineering; Transport engineering; Gerontology; Medicine","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"],"consensus_categories":[],"category_scores_codex":[0.001993107,0.0004197364,0.0003355696,0.000259499,0.0002358304,0.0002399389,0.0004900682,0.0004386249,0.0003535798],"category_scores_gemma":[0.0005793039,0.0004201257,0.0002752895,0.000395137,0.0002570299,0.0001750088,0.00002069272,0.0006597429,0.00001862089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002635076,"about_ca_system_score_gemma":0.0003223863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001949867,"about_ca_topic_score_gemma":0.01387406,"domain_scores_codex":[0.9973415,0.001087518,0.000464886,0.0003921063,0.0002906895,0.000423279],"domain_scores_gemma":[0.9973091,0.001033947,0.0001059515,0.0006619975,0.0006680087,0.0002209986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003420868,0.001220244,0.2522885,0.005795409,0.001649574,0.0003133991,0.253585,0.04362131,0.05652949,0.07503937,0.006169036,0.3034465],"study_design_scores_gemma":[0.0005604154,0.000001938276,0.9028215,0.003889581,0.0004259854,0.00004683077,0.0008084031,0.02141908,0.04046745,0.02157386,0.006977642,0.001007281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7881825,0.003034347,0.1847193,0.00006578056,0.0001343548,0.0001888178,0.000197584,0.0005780301,0.02289929],"genre_scores_gemma":[0.9778228,0.002378979,0.013731,0.00001223204,0.00002160676,0.00003428338,0.002471513,0.0001242734,0.003403264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.650533,"threshold_uncertainty_score":0.9998251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752241784418184,"score_gpt":0.2382098855586698,"score_spread":0.220687467714488,"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."}}