{"id":"W2172151990","doi":"10.7202/1008457ar","title":"Le regroupement des demandes de crédits des petites et moyennes entreprises tunisiennes dans le contexte d’asymétrie d’information","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Physics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002412728,0.0002788834,0.0005782858,0.001520815,0.0006349567,0.00208594,0.0004578762,0.0006679673,0.004526444],"category_scores_gemma":[0.007046072,0.0002131461,0.0004904145,0.002554629,0.000721579,0.001092982,0.0007571024,0.0005772873,0.0004320981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039562,"about_ca_system_score_gemma":0.0006663403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04309399,"about_ca_topic_score_gemma":0.02723948,"domain_scores_codex":[0.9989821,0.0002567993,0.00006665414,0.0003380213,0.0002061277,0.0001502014],"domain_scores_gemma":[0.9941306,0.002600826,0.001875125,0.0004699808,0.0007396558,0.0001838059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004743643,0.00008475103,0.9433497,0.00007545594,0.0004990928,0.0002774161,0.003177382,0.01007939,0.003056928,0.006691867,0.0005267289,0.03170691],"study_design_scores_gemma":[0.00001412548,0.000133063,0.9775345,0.00002334043,0.00009482018,0.0001053884,0.002517869,0.01341425,0.0009944321,0.002606618,0.0025434,0.0000180197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964444,0.0001574664,0.001166146,0.0001268336,0.000003028918,0.00000656482,0.0002237254,0.000006183803,0.001865606],"genre_scores_gemma":[0.9976149,0.00007430751,0.0004122217,0.00001565031,0.000007560811,0.000008867872,0.0002909162,0.000002187043,0.001573515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04309399,"threshold_uncertainty_score":0.08568627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801118457558567,"score_gpt":0.2367238354224878,"score_spread":0.2187126508469021,"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."}}