{"id":"W3033130741","doi":"","title":"CONTRIBUTION DES TIC A LA DURABILITE DES ORGANISATIONS LOGISTIQUES ET DE TRANSPORT","year":2008,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008491131,0.001280288,0.001486858,0.006178146,0.0025594,0.01009067,0.002240138,0.002085407,0.01746929],"category_scores_gemma":[0.08452079,0.0007899533,0.001751364,0.00621628,0.002609871,0.005691962,0.003064146,0.004024355,0.004638212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009674076,"about_ca_system_score_gemma":0.009354357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06728498,"about_ca_topic_score_gemma":0.022001,"domain_scores_codex":[0.9903283,0.002800767,0.0005490147,0.001584641,0.003652324,0.001085121],"domain_scores_gemma":[0.9066163,0.04583645,0.006201884,0.01157274,0.02578688,0.00398571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00154816,0.0004128303,0.1395929,0.001791373,0.0007063038,0.001032777,0.004799429,0.1362116,0.005446199,0.3367825,0.02936363,0.3423122],"study_design_scores_gemma":[0.00008552321,0.0003419069,0.08101631,0.0004818332,0.0005260796,0.001445423,0.006277073,0.544893,0.01137182,0.1890428,0.1643077,0.0002106474],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3837784,0.01278746,0.3803464,0.01024602,0.002803457,0.0006544781,0.008237635,0.003251199,0.1978949],"genre_scores_gemma":[0.939639,0.002235161,0.03499836,0.0002638536,0.0006556149,0.0002853213,0.001910283,0.0006133552,0.01939904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06728498,"threshold_uncertainty_score":0.1337867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699186695382382,"score_gpt":0.25176633137217,"score_spread":0.2247744644183461,"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."}}