{"id":"W2276913568","doi":"10.1007/978-3-319-25264-3_39","title":"Conceptual Modeling for Financial Investment with Text Mining","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Data science; Bridge (graph theory); Business intelligence; Analytics; Domain (mathematical analysis); Data analysis; Matching (statistics); Finance; Investment (military); Data mining; Business","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":[0.001306563,0.0009854452,0.000571463,0.001549896,0.0004152997,0.002034081,0.001948434,0.0007591796,0.006729373],"category_scores_gemma":[0.005341153,0.0004128231,0.001936472,0.001579857,0.0004765275,0.003113079,0.001122122,0.00146286,0.002574712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007719054,"about_ca_system_score_gemma":0.0008106986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042502,"about_ca_topic_score_gemma":0.002720153,"domain_scores_codex":[0.9992243,0.0002492508,0.0001047269,0.0001789605,0.0002097961,0.00003299506],"domain_scores_gemma":[0.9983343,0.001130557,0.00009540608,0.0001892555,0.0002054778,0.00004489882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001284588,0.0002569291,0.002199865,0.001288944,0.0002441501,0.000434887,0.0006815478,0.09771107,0.006356694,0.2358437,0.02750369,0.6273501],"study_design_scores_gemma":[0.00001267479,0.00003281164,0.0004269527,0.0001645789,0.00006508376,0.0001779665,0.0001335794,0.7296771,0.003320923,0.238049,0.02791736,0.00002181897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003393078,0.000745129,0.9903526,0.0005467793,0.00005662491,0.0001228685,0.001249516,0.001462995,0.002070336],"genre_scores_gemma":[0.08357918,0.001452093,0.9063096,0.0002782998,0.00008735664,0.0004943277,0.004508991,0.0002084769,0.00308169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006729373,"threshold_uncertainty_score":0.02251196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1920311914970709,"score_gpt":0.3769966021744304,"score_spread":0.1849654106773595,"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."}}