{"id":"W6997093165","doi":"","title":"Traders Buy Large Volume of Call Options on iShares MSCI Canada ETF (NYSEARCA:EWC)","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Measure (data warehouse); Work (physics); Term (time)","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":[0.0005271236,0.0004593208,0.0004094496,0.0009854542,0.001953597,0.002506939,0.0007002445,0.001036589,0.2031552],"category_scores_gemma":[0.001779879,0.0002344045,0.0003266892,0.001064629,0.0003668707,0.001037085,0.0009411146,0.0007581259,0.05052394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002852902,"about_ca_system_score_gemma":0.002324376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1698159,"about_ca_topic_score_gemma":0.3479071,"domain_scores_codex":[0.9995682,0.00002262334,0.00000695208,0.00003541254,0.0002565667,0.000110283],"domain_scores_gemma":[0.9991409,0.0001645558,0.00004601316,0.00009100646,0.0003479704,0.0002097162],"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":[0.001365516,0.0005691501,0.01451929,0.0001111726,0.00004483439,0.0008101225,0.0005708949,0.002525321,0.007765661,0.01350547,0.7165843,0.2416283],"study_design_scores_gemma":[0.0004961345,0.0003994986,0.1019424,0.0002122611,0.00005667474,0.0004764976,0.001685462,0.02632059,0.01842632,0.01137409,0.8384208,0.000189346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08684713,0.0004327217,0.002444024,0.001347594,0.0002802348,0.0002956614,0.009904917,0.002179655,0.896268],"genre_scores_gemma":[0.1511379,0.0002899986,0.001688772,0.0003306608,0.000152026,0.00004104145,0.005636146,0.0004107385,0.8403126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8301841,"threshold_uncertainty_score":0.6796217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02765823700678248,"score_gpt":0.203493667513163,"score_spread":0.1758354305063805,"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."}}