{"id":"W6955717817","doi":"10.58079/nrv5","title":"Membres Dîwân lauréats des bourses d'IFI 2022","year":2022,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Position (finance); Mode (computer interface); Production (economics)","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":[0.002824792,0.0008288074,0.000689865,0.001597153,0.01403562,0.007755588,0.0008919822,0.003294717,0.09541392],"category_scores_gemma":[0.004334722,0.0004499446,0.0005466943,0.001547451,0.002812534,0.002081524,0.004802276,0.004963943,0.01918621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01224581,"about_ca_system_score_gemma":0.01533647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1166633,"about_ca_topic_score_gemma":0.2714407,"domain_scores_codex":[0.9968271,0.0004085941,0.00007183148,0.00033578,0.000879323,0.001477381],"domain_scores_gemma":[0.9950213,0.0004680053,0.000330514,0.0001719534,0.001159511,0.002848761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003272816,0.00009247298,0.01066115,0.000293604,0.00002392459,0.001111471,0.03570265,0.0001703351,0.001857565,0.1041279,0.731562,0.1140697],"study_design_scores_gemma":[0.000002767375,0.0000090872,0.003368278,0.00005897991,0.000001671763,0.00009900032,0.003394943,0.00001338643,0.0001450636,0.0004973825,0.9923996,0.000009728823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05829708,0.03159114,0.002742185,0.2553488,0.01765509,0.0002169139,0.001591658,0.0003784388,0.6321787],"genre_scores_gemma":[0.06500949,0.002965809,0.0008886532,0.004516488,0.0008147888,0.00006307332,0.0001798167,0.0001160542,0.9254458],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1166633,"threshold_uncertainty_score":0.3191914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04245545322213518,"score_gpt":0.2362931072299628,"score_spread":0.1938376540078277,"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."}}