{"id":"W6957585096","doi":"10.6068/dp15d421dbe9a16","title":"TREND: Xignite. FactSet Corporate Fundamentals: Number of Employees | Stock Symbol: SHLD | Symbol Name: Sears Holdings Corp, 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":[0.0009528429,0.002029335,0.001387111,0.004998375,0.0007979878,0.003168953,0.002830568,0.002149568,0.09825882],"category_scores_gemma":[0.005785694,0.0007567223,0.001030176,0.009610351,0.0003163497,0.002303044,0.001823806,0.002036845,0.1869481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876358,"about_ca_system_score_gemma":0.002829918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05697196,"about_ca_topic_score_gemma":0.07887515,"domain_scores_codex":[0.9991641,0.00008083593,0.00007709168,0.0002856417,0.0002397297,0.0001526259],"domain_scores_gemma":[0.9974579,0.0003895307,0.0003045568,0.0005481784,0.001049879,0.0002500749],"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":[0.00001831511,0.000008542537,0.0006939085,0.0001336792,0.00001079952,0.000009140416,0.000008916221,0.0001181074,0.00003336815,0.0002587807,0.9975745,0.001131939],"study_design_scores_gemma":[0.000137624,0.00002060074,0.005247746,0.0002656195,0.00002424316,0.00003937482,0.00008533933,0.0006480715,0.000237224,0.0008283039,0.9924361,0.00002975761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009409439,0.00002837847,0.00003244,0.00006163416,0.00001987948,0.000008219469,0.9986701,0.0003153429,0.0007699899],"genre_scores_gemma":[0.0001812235,0.00002599118,0.0001063505,0.00003495218,0.000007208417,0.00003358992,0.9987527,0.00005250913,0.0008054614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09825882,"threshold_uncertainty_score":0.3287085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07442482743647308,"score_gpt":0.3284325816983557,"score_spread":0.2540077542618826,"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."}}