{"id":"W6957999791","doi":"10.6068/dp15a11bef31119","title":"Trend. Xignite. FactSet Corporate Fundamentals: Total Volume 1 Week | Country: USA | Stock Symbol: LAMR | Symbol Name: Lamar Advertising Co | Exchange: NASDAQ Stock Exchange, 01/04/2010-02/03/2017. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-164.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock (firearms); Stock market; License; Earnings; Restricted stock","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":[0.001034093,0.00215109,0.001391648,0.005083044,0.0007482704,0.0039979,0.00307144,0.002102464,0.1519008],"category_scores_gemma":[0.006422659,0.0008920077,0.001268654,0.009831689,0.0003194094,0.0030487,0.002347523,0.002204051,0.2772492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499213,"about_ca_system_score_gemma":0.001866347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02234962,"about_ca_topic_score_gemma":0.02874391,"domain_scores_codex":[0.9990946,0.00008715286,0.00009322696,0.0003104343,0.0002558586,0.0001587596],"domain_scores_gemma":[0.9975753,0.0004810312,0.0003194805,0.0005814838,0.0007937761,0.0002488119],"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":[0.00001918724,0.000007886679,0.0005577802,0.0001779746,0.00001146681,0.000008402943,0.00001029166,0.000111453,0.00003566678,0.0002826628,0.9974971,0.001279961],"study_design_scores_gemma":[0.0001602495,0.00002483562,0.003723019,0.000289659,0.00002110183,0.00003842557,0.00006833304,0.0005404908,0.0002704349,0.0009440249,0.9938912,0.00002812991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007338938,0.00002791155,0.00003288078,0.00005951358,0.00002561662,0.000007810399,0.9985127,0.0004680226,0.0007921692],"genre_scores_gemma":[0.000170049,0.00003071655,0.0001239976,0.00003705042,0.000009790243,0.00003811121,0.9986697,0.00009777186,0.0008226795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1519008,"threshold_uncertainty_score":0.5081589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08905194316871538,"score_gpt":0.3156252174134996,"score_spread":0.2265732742447842,"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."}}