{"id":"W4293859671","doi":"10.31234/osf.io/9s3y6","title":"Justify Your Alpha","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Economic and Social Research Council; Biotechnology and Biological Sciences Research Council","keywords":"Alpha (finance); Computer science; Statistics; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2674125,0.003663881,0.006789967,0.007709114,0.005899067,0.01838408,0.006025549,0.03134372,0.04870452],"category_scores_gemma":[0.8175108,0.003317459,0.004904335,0.009266249,0.01700105,0.009719435,0.005296122,0.05364471,0.06891207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006356564,"about_ca_system_score_gemma":0.01216175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676151,"about_ca_topic_score_gemma":0.001969527,"domain_scores_codex":[0.6504654,0.1945396,0.04972366,0.01516914,0.08214727,0.007954974],"domain_scores_gemma":[0.1819429,0.4436376,0.04452436,0.09367663,0.225059,0.01115947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009103719,0.0001072005,0.0007837825,0.001058328,0.0002207421,0.0002420176,0.0008518002,0.0003053139,0.0006458887,0.01873367,0.9307387,0.04540212],"study_design_scores_gemma":[0.0007004249,0.0004266242,0.003590077,0.008664289,0.0003243732,0.0006518812,0.001739914,0.003795974,0.00318842,0.1139797,0.8624801,0.0004582486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.002831575,0.005651135,0.06154445,0.5057973,0.3923542,0.001840079,0.003343798,0.004055955,0.02258161],"genre_scores_gemma":[0.07937426,0.005479246,0.3035369,0.4421307,0.1067687,0.01410365,0.002503583,0.007427773,0.03867517],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2674125,"threshold_uncertainty_score":0.9034108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5314374385266869,"score_gpt":0.5349316036126319,"score_spread":0.003494165085945022,"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."}}