{"id":"W7065162616","doi":"","title":"CREDIT AGRICOLE SA: third quarter and first nine months 2023 - Very good results","year":2023,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Debt; Consumption (sociology)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001236362,0.001078203,0.0007443102,0.001331255,0.002562862,0.006570779,0.00139585,0.004144243,0.6722186],"category_scores_gemma":[0.003403086,0.0003815244,0.0009977606,0.0008265966,0.0005726047,0.001702232,0.002839203,0.003076145,0.6489785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002031151,"about_ca_system_score_gemma":0.005724275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01480188,"about_ca_topic_score_gemma":0.0413368,"domain_scores_codex":[0.9990475,0.00006831987,0.00001998174,0.0001011434,0.0004568193,0.0003061872],"domain_scores_gemma":[0.995604,0.0001279089,0.00009444364,0.0002181204,0.001322348,0.00263308],"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":[0.00006477266,0.00002888743,0.00009431884,0.00001265319,0.000001274894,0.00001390192,0.00000257896,0.00002707326,0.00005417092,0.0003358652,0.9920778,0.007286537],"study_design_scores_gemma":[0.00007537107,0.00004870798,0.001321381,0.00003787348,0.000002635515,0.00002413622,0.0000451476,0.000153802,0.000106271,0.0007964952,0.9973788,0.000009297374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002035117,0.0008472256,0.0007986971,0.01662194,0.02282717,0.0002871455,0.01793577,0.002962434,0.9356846],"genre_scores_gemma":[0.002031456,0.0001231257,0.0001310681,0.001440411,0.0005413398,0.0000540708,0.002965754,0.000313018,0.9923998],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3277814,"threshold_uncertainty_score":0.4675403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00974680398780933,"score_gpt":0.2391131622762017,"score_spread":0.2293663582883924,"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."}}