{"id":"W2100193126","doi":"10.3968/j.css.1923669720130906.2871","title":"Development of and Strategies for Stock Index Futures in China","year":2013,"lang":"en","type":"article","venue":"Canadian social science","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Futures contract; China; Stock market; Stock market index; Forward market; Portfolio insurance; Financial economics; Index (typography); Stock index futures; Stock (firearms); Futures market; Economics; Business; Computer science; Portfolio; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.004073828,0.0000787674,0.0001676532,0.000500902,0.0005179849,0.0002818726,0.0006404477,0.00005517197,0.0000899733],"category_scores_gemma":[0.002140906,0.00006513836,0.00002254302,0.001326784,0.0005756891,0.0004467385,0.000064073,0.00006789845,0.000002697433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869259,"about_ca_system_score_gemma":0.002394849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01272471,"about_ca_topic_score_gemma":0.136624,"domain_scores_codex":[0.998315,0.00005780559,0.0003281424,0.0003185977,0.0005789375,0.0004014909],"domain_scores_gemma":[0.9989722,0.0003020947,0.0001153582,0.0001248837,0.0002329432,0.0002525219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000004106988,0.00000483032,0.06262409,0.000004690982,0.000001480743,5.074177e-7,0.01262884,0.000002847454,0.0008492253,0.009633267,0.001303317,0.9129428],"study_design_scores_gemma":[0.0001304729,0.00001379168,0.9401323,0.000007242205,7.327782e-7,8.378439e-7,0.0167597,0.001204699,0.0001063564,0.03656064,0.004966357,0.0001169006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967103,0.00002059977,0.002505424,0.0002033755,0.0002088171,0.0003157567,0.000005665321,0.000005299471,0.02963208],"genre_scores_gemma":[0.9755599,1.90226e-7,0.02412663,0.0000695283,0.0000376198,0.00003433572,1.881892e-7,0.000003518908,0.0001680499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9128259,"threshold_uncertainty_score":0.9938496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09014417081860672,"score_gpt":0.3940546182164846,"score_spread":0.3039104473978779,"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."}}