{"id":"W3122743867","doi":"10.1016/j.jbef.2016.03.005","title":"Timing the stock market: Does it really make no sense?","year":2016,"lang":"en","type":"article","venue":"Journal of Behavioral and Experimental Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Sense (electronics); Stock market; Economics; Financial economics; Business; History; Engineering","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":[0.01074502,0.0006337723,0.001209502,0.0008515372,0.0005140075,0.004452848,0.001459765,0.003439326,0.009493305],"category_scores_gemma":[0.07766792,0.0005279771,0.0005989219,0.0007681611,0.002297268,0.01055187,0.00104578,0.003538851,0.001607512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007467395,"about_ca_system_score_gemma":0.001762548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00147189,"about_ca_topic_score_gemma":0.001314253,"domain_scores_codex":[0.9975098,0.001168988,0.0002222157,0.0003825808,0.0005920273,0.000124297],"domain_scores_gemma":[0.9664037,0.02112319,0.005999197,0.002411021,0.002261095,0.00180183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006836351,0.001679993,0.1107059,0.001771294,0.001757967,0.0005762458,0.001396903,0.005255011,0.006883362,0.3045861,0.04871614,0.5098347],"study_design_scores_gemma":[0.001200592,0.00170683,0.07419221,0.00100332,0.001144648,0.0009375734,0.001605396,0.01403238,0.003488067,0.8559068,0.04454453,0.0002375533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4798549,0.05704133,0.06320322,0.2872958,0.02894668,0.0002681066,0.002061269,0.0008705579,0.08045819],"genre_scores_gemma":[0.9503167,0.01106051,0.01061195,0.01802059,0.00538131,0.00005554313,0.0002271514,0.0002499604,0.004076155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01074502,"threshold_uncertainty_score":0.05682576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0393622986813928,"score_gpt":0.265479102716221,"score_spread":0.2261168040348283,"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."}}