{"id":"W2912467783","doi":"10.25071/1705-1436.177","title":"Finding and Understanding Corporate Financial Statements","year":2003,"lang":"en","type":"article","venue":"Just Labour","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Accounting; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001876368,0.00007420452,0.00007594511,0.00001707217,0.0001439002,0.00004024142,0.00004411178,0.00002843898,0.002178231],"category_scores_gemma":[0.0000174466,0.00007129454,0.000008762306,0.00009093304,0.00004241172,0.0002016376,0.00005148536,0.00004152375,0.0002367535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162221,"about_ca_system_score_gemma":0.00001464241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003991409,"about_ca_topic_score_gemma":0.00005736963,"domain_scores_codex":[0.9994493,0.00001129982,0.0001164327,0.0001663255,0.00006692018,0.0001897492],"domain_scores_gemma":[0.9998003,0.000005594471,0.00007192,0.00006291969,0.000001636419,0.00005764496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000013606,0.00007823185,0.8613409,0.00004501604,0.00001919085,0.0000416736,0.001288925,0.0007734064,0.001228599,0.1190277,0.009283718,0.0068591],"study_design_scores_gemma":[0.0009254518,0.0000243382,0.8987206,0.00002294266,0.000009413034,0.000009841412,0.0008539379,0.0002692367,0.0004313154,0.02474529,0.07359389,0.0003937822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98612,0.00001413725,0.001518009,0.0001123002,0.0002552155,0.00006975275,0.00000383865,0.00001291749,0.01189376],"genre_scores_gemma":[0.9963428,0.00002745011,0.0008178919,0.0002813543,0.00000990244,0.000004341127,0.000001460911,0.000006673995,0.002508156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09428237,"threshold_uncertainty_score":0.9987339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09036041467362207,"score_gpt":0.2591829618327635,"score_spread":0.1688225471591414,"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."}}