{"id":"W7008608072","doi":"","title":"Corporate Hedging, Executive Compensation and Commodity Price Prediction","year":2021,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Executive compensation; Incentive; Hedge; Volatility (finance); Order (exchange); Agency (philosophy); Shareholder; Principal–agent problem; Compensation (psychology)","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":[0.001927229,0.000399867,0.0004586927,0.0004110366,0.0002693284,0.002606648,0.0004495695,0.0008347346,0.002971117],"category_scores_gemma":[0.006877108,0.0002363748,0.0003313715,0.0004526046,0.0005648058,0.001460606,0.0006297154,0.00082757,0.0002324691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085503,"about_ca_system_score_gemma":0.0005464345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002250716,"about_ca_topic_score_gemma":0.002109651,"domain_scores_codex":[0.9995239,0.0001299071,0.00003297293,0.00009080939,0.0001176435,0.000104796],"domain_scores_gemma":[0.9961855,0.002106987,0.001185214,0.0002056375,0.0001948079,0.0001220186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004394225,0.0006805487,0.2530199,0.0001858543,0.0002278049,0.0005388422,0.000724535,0.4725283,0.005814065,0.1281952,0.002204671,0.1354409],"study_design_scores_gemma":[0.00003794452,0.0003645075,0.131037,0.0000912143,0.00008069172,0.0001402058,0.0004678231,0.7857469,0.003756942,0.07514754,0.003046368,0.00008280688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938997,0.0009978639,0.0400921,0.0009440039,0.00004179421,0.00005361167,0.00009661558,0.00005923885,0.01871777],"genre_scores_gemma":[0.9953882,0.0002803285,0.002206673,0.00003809554,0.00001455952,0.000005687059,0.00004028072,0.000004300767,0.002021798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002971117,"threshold_uncertainty_score":0.01019228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077209249128393,"score_gpt":0.1645447992675241,"score_spread":0.1437727067762402,"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."}}