{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009689157,0.002070108,0.001409955,0.00494353,0.0008298118,0.003127352,0.002834303,0.002194362,0.09670188],"category_scores_gemma":[0.00574255,0.0007276314,0.001027949,0.009336655,0.0003179262,0.00232593,0.001839043,0.002055735,0.1907343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778783,"about_ca_system_score_gemma":0.002597241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04913302,"about_ca_topic_score_gemma":0.06756289,"domain_scores_codex":[0.9991393,0.00008525356,0.00007752874,0.0002940464,0.0002492844,0.0001545089],"domain_scores_gemma":[0.9974425,0.0004001051,0.0003055345,0.0005372201,0.001062189,0.0002524669],"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":[0.00001838814,0.000009245933,0.0006817414,0.0001285697,0.0000103735,0.000008807535,0.000008718499,0.0001186387,0.00003446333,0.0002688953,0.9975798,0.001132365],"study_design_scores_gemma":[0.0001420345,0.00002185773,0.005314077,0.0002549366,0.00002341582,0.00004056392,0.00008728772,0.0006872694,0.0002461116,0.0008949286,0.9922571,0.00003039587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009923991,0.00002911524,0.00003521702,0.00006538821,0.00002125622,0.000008618917,0.9986482,0.0003168123,0.0007761737],"genre_scores_gemma":[0.0001837986,0.00002587455,0.0001108634,0.00003665652,0.000007903192,0.00003463389,0.9987491,0.00005079469,0.0008002673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09670188,"threshold_uncertainty_score":0.3235,"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."}}