{"id":"W2464119453","doi":"","title":"A Comprehensive Determination of Stock Movements","year":2015,"lang":"en","type":"article","venue":"International journal of marketing and technology","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Quarter (Canadian coin); Stock (firearms); Agriculture; Stock market; Value (mathematics); Economics; Business; Engineering; Finance; Mathematics; Statistics; Geography; Mechanical engineering","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":[0.001279387,0.000476166,0.0006107949,0.002249232,0.0002461826,0.001504762,0.000345626,0.0005044732,0.003941255],"category_scores_gemma":[0.005854471,0.0002046792,0.0003238555,0.002039739,0.0001742163,0.00198435,0.0004504581,0.0005435743,0.001282763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004926738,"about_ca_system_score_gemma":0.0005428818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007457872,"about_ca_topic_score_gemma":0.008910141,"domain_scores_codex":[0.9992976,0.000109222,0.0001364806,0.0001511116,0.0002415913,0.00006395754],"domain_scores_gemma":[0.9958798,0.001481453,0.00156554,0.000219148,0.0007175921,0.0001364647],"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":[0.00009778852,0.0001124646,0.8292529,0.0002622581,0.0004282783,0.0004014341,0.0002659796,0.01263951,0.001618756,0.00880064,0.007607082,0.1385129],"study_design_scores_gemma":[0.0000108821,0.0001699217,0.9295117,0.0001605775,0.0001112592,0.0001745036,0.0008112897,0.04494568,0.00168738,0.009313408,0.01304483,0.00005858377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9062252,0.005690596,0.0357799,0.001804886,0.0001660023,0.0003014442,0.01821518,0.0001954245,0.03162131],"genre_scores_gemma":[0.9760023,0.002269039,0.00895413,0.0001043478,0.0001299706,0.0001042347,0.008533346,0.00001636392,0.003886415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007457872,"threshold_uncertainty_score":0.01482892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111689089636453,"score_gpt":0.2624811335409668,"score_spread":0.2313642426446023,"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."}}