{"id":"W3095488518","doi":"10.2139/ssrn.3376162","title":"Crowded Stock Coverage","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Stock (firearms); Business; Econometrics; Geography; Economics","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":[0.001070954,0.0002353175,0.0005195878,0.005118253,0.0007158878,0.002954924,0.0005894658,0.0008486968,0.0994334],"category_scores_gemma":[0.01112894,0.0001958918,0.0003033353,0.003152527,0.0002693179,0.001818321,0.001959577,0.0008910911,0.01659553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008464541,"about_ca_system_score_gemma":0.0007568255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006650793,"about_ca_topic_score_gemma":0.008916418,"domain_scores_codex":[0.9977918,0.000198124,0.0001311993,0.0003526721,0.001097541,0.0004287065],"domain_scores_gemma":[0.9933021,0.001910708,0.001542044,0.0008005315,0.001163626,0.001281022],"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":[0.0006831025,0.0002421377,0.1673813,0.0004162601,0.0002201477,0.0007506869,0.001623014,0.002953292,0.001970051,0.039895,0.4668887,0.3169763],"study_design_scores_gemma":[0.00007125395,0.00021029,0.2836738,0.0003461905,0.00007693001,0.0008298606,0.001717895,0.004836483,0.001374176,0.01539224,0.6914171,0.00005377879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3874556,0.004993711,0.002836936,0.007263053,0.00119172,0.0002445664,0.07874954,0.0008241186,0.5164407],"genre_scores_gemma":[0.8072925,0.001413998,0.000752326,0.002576639,0.001562219,0.0001418843,0.02636332,0.0001490726,0.1597482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0994334,"threshold_uncertainty_score":0.3326378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194223967504229,"score_gpt":0.1978033095699628,"score_spread":0.1858610698949205,"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."}}