{"id":"W7056617876","doi":"","title":"F.N.B. Corporation Reports Fourth Quarter 2023 Earnings and Executes Balance Sheet Optimization Strategy","year":2024,"lang":"en","type":"other","venue":"","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Balance sheet; Corporation; Quarter (Canadian coin); Balance (ability)","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":[0.001471683,0.001405588,0.000653505,0.001383998,0.001815093,0.004197195,0.000801099,0.00232193,0.2814931],"category_scores_gemma":[0.003829992,0.0004255857,0.0003920285,0.0008482513,0.0003576756,0.001046581,0.000469729,0.001494661,0.1726337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002598044,"about_ca_system_score_gemma":0.007238473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05303191,"about_ca_topic_score_gemma":0.08147188,"domain_scores_codex":[0.9988915,0.00005842044,0.00002738367,0.0001010048,0.0007403931,0.0001812037],"domain_scores_gemma":[0.9980286,0.0001528357,0.00008226917,0.0001199556,0.001410626,0.0002057537],"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":[0.0001278216,0.00008707329,0.0006076756,0.0000265397,0.000007197261,0.00006273867,0.00001537861,0.0006235522,0.0007014029,0.006488427,0.9337986,0.05745362],"study_design_scores_gemma":[0.0000733713,0.00009242242,0.001936055,0.00003694322,0.0000144842,0.00005125191,0.00006744342,0.003984738,0.002107434,0.002465577,0.989151,0.00001931958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003896531,0.0004305496,0.003368608,0.006652067,0.001255001,0.0002899622,0.008337823,0.002613036,0.9731565],"genre_scores_gemma":[0.01245525,0.0002747701,0.002015955,0.0005868496,0.0001541819,0.00006925736,0.0034391,0.000395481,0.9806092],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2814931,"threshold_uncertainty_score":0.9416881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006245824480321827,"score_gpt":0.2043654584843566,"score_spread":0.1981196340040348,"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."}}