{"id":"W6899496641","doi":"10.5878/rmrg-9341","title":"How do Firms Hedge in Financial Distress? - Classification of hedging strategies in the US oil industry 2013-2015","year":2022,"lang":"en","type":"dataset","venue":"Swedish National Data Service","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Hedge; Incentive; Cash flow; Key (lock); Derivative (finance); Market liquidity; Quarter (Canadian coin); Variable (mathematics); Sample (material)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006624269,0.0002068396,0.0002705612,0.001722159,0.0001627712,0.0009928969,0.0002558505,0.0004773397,0.001126528],"category_scores_gemma":[0.004238875,0.00009314433,0.0003409783,0.002316632,0.0002209297,0.0007429321,0.0005942282,0.0003274635,0.000427507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005277777,"about_ca_system_score_gemma":0.0002628381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01662363,"about_ca_topic_score_gemma":0.01864835,"domain_scores_codex":[0.9996337,0.00004677593,0.00005464298,0.00008956351,0.00008679533,0.00008848317],"domain_scores_gemma":[0.9973632,0.0005611719,0.001506931,0.0001395656,0.0002644283,0.0001647899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009077584,0.00002676967,0.9792398,0.00002842042,0.00006612843,0.00005485848,0.0002444887,0.001199026,0.0003254472,0.0003022381,0.002087318,0.0163347],"study_design_scores_gemma":[0.00000626158,0.00003380124,0.9934292,0.00002365642,0.00002369979,0.00006878709,0.000676304,0.00271322,0.0002960104,0.0003852628,0.002334625,0.000009063178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9942306,0.0003368229,0.0001415879,0.0002383009,0.000003736057,0.000005448783,0.004096844,0.00001136243,0.0009352083],"genre_scores_gemma":[0.9930475,0.0002244773,0.000143315,0.00003691496,0.00001136621,0.000005386276,0.006155522,0.000002271966,0.0003732434],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01662363,"threshold_uncertainty_score":0.0330537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07184903128431824,"score_gpt":0.3326921908793598,"score_spread":0.2608431595950416,"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."}}