{"id":"W7099467521","doi":"","title":"Are Product Spreads Useful for Forecasting? An Empirical Evaluation of the Verleger Hypothesis,” mimeo","year":2013,"lang":"en","type":"article","venue":"","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Empirical research; Empirical evidence; Earnings","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":[0.008952966,0.000557036,0.0009011805,0.002691729,0.0012693,0.003571121,0.002207051,0.001644,0.01192747],"category_scores_gemma":[0.06605136,0.0004868191,0.001130032,0.004515375,0.003360403,0.003506616,0.001202437,0.002680313,0.001636701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003889675,"about_ca_system_score_gemma":0.00395428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3098381,"about_ca_topic_score_gemma":0.1909827,"domain_scores_codex":[0.997965,0.0008332358,0.0001499625,0.0002985838,0.0005460519,0.0002071974],"domain_scores_gemma":[0.9192882,0.06228896,0.009363758,0.002768896,0.005082805,0.001207418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001566231,0.0003411941,0.6530825,0.0003931335,0.0008717903,0.001025042,0.002598865,0.02148637,0.0002201653,0.0850227,0.1212733,0.1121188],"study_design_scores_gemma":[0.0003217321,0.0004273402,0.7278644,0.000808344,0.001219856,0.0003835109,0.006017908,0.1074438,0.001131317,0.09941728,0.05471225,0.0002522404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8420364,0.02209678,0.009446606,0.06758717,0.001076407,0.0001478209,0.007079875,0.0002320183,0.050297],"genre_scores_gemma":[0.9835997,0.005318128,0.001750111,0.001019621,0.0005751685,0.00003728675,0.002076113,0.00003901054,0.005584952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3098381,"threshold_uncertainty_score":0.6160692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1672803739433963,"score_gpt":0.3667259794229779,"score_spread":0.1994456054795816,"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."}}