{"id":"W11382371","doi":"10.71781/10371","title":"Sequential Machine learning Approaches for Portfolio Management","year":2009,"lang":"en","type":"dissertation","venue":"The American Journal of Medicine","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Portfolio; Artificial intelligence; Machine learning; Project portfolio management; Set (abstract data type); Futures contract; Representation (politics); Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002439774,0.001116384,0.001300669,0.001218178,0.0005226354,0.00150153,0.001323696,0.001039335,0.004053102],"category_scores_gemma":[0.005350484,0.0005492438,0.0009562024,0.001624717,0.0006551563,0.001846307,0.001003164,0.001592135,0.0007563784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238088,"about_ca_system_score_gemma":0.001616347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005684263,"about_ca_topic_score_gemma":0.006574223,"domain_scores_codex":[0.9989076,0.0003826341,0.00007470918,0.0002140994,0.0003352799,0.00008566937],"domain_scores_gemma":[0.997498,0.001700674,0.0001813484,0.0001629011,0.0003741783,0.00008285919],"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":[0.0001109332,0.00009645461,0.001785318,0.0002656177,0.0001648528,0.00006551533,0.0001087466,0.698748,0.001501485,0.05920662,0.001878565,0.2360678],"study_design_scores_gemma":[0.00001335542,0.00003975673,0.0002174953,0.00001860186,0.00001768233,0.00001845099,0.00001084879,0.9622512,0.0005565222,0.03446964,0.002379471,0.000006962484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009967445,0.001806998,0.9839535,0.0004269971,0.0001144655,0.00005366831,0.00006455508,0.0002669652,0.003345438],"genre_scores_gemma":[0.4330641,0.004473052,0.5418168,0.0003571624,0.0006258145,0.0003304199,0.0003870585,0.0001704447,0.01877509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005684263,"threshold_uncertainty_score":0.01355904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1514687961409382,"score_gpt":0.4297605850729527,"score_spread":0.2782917889320146,"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."}}