{"id":"W6901920519","doi":"10.6084/m9.figshare.13625423.v1","title":"Master Thesis Fall 2020.pdf","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Construct (python library); Component (thermodynamics); Long memory; Benchmark (surveying); Stock (firearms); Quarter (Canadian coin)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001520011,0.0009461485,0.0007194562,0.001975408,0.001005104,0.005635345,0.0009286741,0.001370512,0.6524175],"category_scores_gemma":[0.005033825,0.0003649241,0.0007799032,0.00164143,0.0003761351,0.002292473,0.002092969,0.001411695,0.517804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000922821,"about_ca_system_score_gemma":0.001258928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123475,"about_ca_topic_score_gemma":0.001642773,"domain_scores_codex":[0.999316,0.00007257853,0.00003986347,0.0001091003,0.0003628359,0.00009959212],"domain_scores_gemma":[0.9982225,0.0002579437,0.0001132447,0.0001942439,0.0007684892,0.0004435649],"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":[0.00005758649,0.00005857747,0.0004417586,0.0001423212,0.000004927332,0.00003987717,0.00005517848,0.0002068898,0.0002200023,0.004070607,0.8649706,0.1297316],"study_design_scores_gemma":[0.00001531846,0.00005801971,0.001046442,0.000186579,0.000003251954,0.00007273431,0.00006836974,0.0003053378,0.0002699649,0.002527963,0.9954373,0.000008672208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004878697,0.006892573,0.01079413,0.02017038,0.02659625,0.0007489676,0.05046802,0.006140828,0.8733103],"genre_scores_gemma":[0.01358039,0.003734812,0.004813596,0.001601468,0.003685043,0.0003636809,0.01653667,0.001339692,0.9543447],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3475825,"threshold_uncertainty_score":0.4957843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.277586670143551,"score_gpt":0.4058992060486082,"score_spread":0.1283125359050572,"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."}}