{"id":"W3043097894","doi":"","title":"Abstract for Extracting Information from Financial Market Instruments | Bulletin – March Quarter 2012","year":2012,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Finance; Geography","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":[0.000875363,0.001058436,0.0006152118,0.005713165,0.0007661234,0.002374229,0.0005384535,0.0006470097,0.1627391],"category_scores_gemma":[0.006147667,0.0004911113,0.000562333,0.002878763,0.0001815257,0.001509972,0.0009059886,0.0009378198,0.085404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004178042,"about_ca_system_score_gemma":0.001118229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004214045,"about_ca_topic_score_gemma":0.006259296,"domain_scores_codex":[0.9995142,0.00005269279,0.00005649199,0.00005555689,0.0002784712,0.00004260036],"domain_scores_gemma":[0.9971899,0.0006537857,0.0001857002,0.000393323,0.001418203,0.0001591555],"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":[0.000116972,0.00006021225,0.00133363,0.0001948066,0.00001895516,0.00006434101,0.00002903212,0.0003259461,0.003024962,0.0008081805,0.6685746,0.3254484],"study_design_scores_gemma":[0.00007048626,0.00008100564,0.01234589,0.000254527,0.00006737094,0.0001842125,0.00008166979,0.007321608,0.01157848,0.002262484,0.9657071,0.00004521431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.04151451,0.0115199,0.2394294,0.01476764,0.01363093,0.00240563,0.3016295,0.09029161,0.284811],"genre_scores_gemma":[0.07401641,0.006342374,0.1789125,0.001032678,0.004979729,0.001196816,0.2665399,0.004298524,0.4626811],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1627391,"threshold_uncertainty_score":0.5444166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07662412108290567,"score_gpt":0.3506318709592374,"score_spread":0.2740077498763318,"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."}}