{"id":"W601018394","doi":"10.71781/15740","title":"Modèle bayésien pour les prêts investisseurs","year":2006,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001617295,0.0004212444,0.0004950055,0.0003811036,0.0007203874,0.002313861,0.0009375692,0.0004299705,0.008668318],"category_scores_gemma":[0.001990448,0.0004470057,0.0001548279,0.0007387674,0.00008746423,0.001254261,0.0003401871,0.0005126409,0.007242341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009285802,"about_ca_system_score_gemma":0.0006781252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01673344,"about_ca_topic_score_gemma":0.007275464,"domain_scores_codex":[0.9968348,0.00006085079,0.0008902412,0.0008055342,0.000797101,0.0006114897],"domain_scores_gemma":[0.9973457,0.00009728836,0.001051758,0.0004025237,0.001058267,0.00004444936],"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":[0.0001540661,0.0006013603,0.1239915,0.0008513798,0.00009842057,0.0002552157,0.0004470846,0.001181006,0.003161649,0.003166833,0.08389564,0.7821959],"study_design_scores_gemma":[0.0009263778,0.00003723261,0.1831787,0.00137554,0.0002743304,0.000007075477,0.001720682,0.01530313,0.002121,0.00204527,0.792031,0.0009796179],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6673509,0.0004980144,0.00007432875,0.001313579,0.0008230596,0.0009407184,0.00001197259,0.000005926123,0.3289815],"genre_scores_gemma":[0.4075724,0.00001907807,0.004199297,0.0001009082,0.001616835,0.0001188921,0.002683649,0.0001013333,0.5835876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7812163,"threshold_uncertainty_score":0.9997982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1805493410038746,"score_gpt":0.3676483686627649,"score_spread":0.1870990276588903,"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."}}