{"id":"W3124518741","doi":"10.2139/ssrn.2878418","title":"Stock Market Overvaluation, Moon Shots, and Corporate Innovation","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Stock market; Business; Stock (firearms); Monetary economics; Financial system; Financial economics; Economics; Geography; Materials science; Metallurgy","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":[0.001623408,0.0001288145,0.0004193482,0.000824745,0.000294519,0.002135809,0.0003252175,0.001078685,0.004157827],"category_scores_gemma":[0.01984592,0.0001152749,0.0003059221,0.0006177574,0.00073557,0.00160093,0.0007757801,0.0009706962,0.0001297893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006041762,"about_ca_system_score_gemma":0.0002667593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001992905,"about_ca_topic_score_gemma":0.002912211,"domain_scores_codex":[0.999679,0.00005470928,0.00003997649,0.00004987145,0.0001044649,0.00007207678],"domain_scores_gemma":[0.9846389,0.006264106,0.006242444,0.0005764817,0.0005644358,0.001713668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007046094,0.0004190863,0.9204519,0.0000933352,0.0003300438,0.0009226854,0.0006424091,0.003119079,0.002051046,0.01690228,0.001390592,0.05297292],"study_design_scores_gemma":[0.00004124992,0.0002662494,0.9512159,0.0000351443,0.0001446138,0.000562111,0.0006965358,0.009226087,0.000387097,0.03630212,0.001088251,0.00003470105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995313,0.001279805,0.0002789872,0.0005205488,0.00001434697,0.000003542653,0.0000472525,0.000006463996,0.002535884],"genre_scores_gemma":[0.9991727,0.000221993,0.00003135628,0.00002604062,0.00003162859,8.783599e-7,0.00002587388,8.455535e-7,0.000488602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004157827,"threshold_uncertainty_score":0.01390934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115239550716788,"score_gpt":0.2193788516300639,"score_spread":0.188226456122896,"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."}}