{"id":"W6901593332","doi":"10.6068/dp15d421e1dba17","title":"TREND: Xignite. FactSet Corporate Fundamentals: Number of Employees | Stock Symbol: GME | Symbol Name: GameStop Corp New, 01/31/2012 - 01/31/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-005-118","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 (firearms); Earnings; CONQUEST; Stock market; Stock exchange; Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002270364,0.003893163,0.005348264,0.0008965597,0.0005816678,0.001885553,0.0170472,0.002340219,0.04687487],"category_scores_gemma":[0.0002304448,0.003810565,0.00002002129,0.0002554187,0.00253028,0.003492348,0.007910702,0.00267445,0.09740238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003485316,"about_ca_system_score_gemma":0.001596508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2885154,"about_ca_topic_score_gemma":0.03135363,"domain_scores_codex":[0.9826488,0.001500878,0.003375452,0.005725095,0.003546574,0.003203158],"domain_scores_gemma":[0.9625417,0.001553067,0.008435765,0.02498068,0.00003329663,0.002455513],"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":[0.0009409885,0.001289679,0.0004042711,0.001674691,0.002810364,0.00232361,0.00001994766,0.00000595078,0.0001544825,0.0001528588,0.9896138,0.0006094092],"study_design_scores_gemma":[0.004443362,0.0004251455,0.00005941304,0.0005753344,0.002737589,0.001825655,0.0001677174,0.0004843226,0.000002395431,0.000005267708,0.9853225,0.003951305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001880815,0.005764541,0.00001932924,0.00001157592,0.002495767,0.003773989,0.9783537,0.001074908,0.00848734],"genre_scores_gemma":[0.0001081257,0.002172024,0.0007316896,0.0002306418,0.001535125,0.0001129827,0.979348,0.002574716,0.01318666],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2571618,"threshold_uncertainty_score":0.9996264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07312784344166753,"score_gpt":0.3290002771169446,"score_spread":0.255872433675277,"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."}}