{"id":"W6976772919","doi":"10.6068/dp15d41e413eb80","title":"TREND: Xignite. FactSet Corporate Fundamentals: Number of Employees | Stock Symbol: MSFT | Symbol Name: Microsoft Corp, 06/30/2011 - 06/30/2016. 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; Microsoft excel","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":[0.001007448,0.002151445,0.001485733,0.00512833,0.000823428,0.003426286,0.002909462,0.002265879,0.1054507],"category_scores_gemma":[0.006099869,0.0007599519,0.001056079,0.009686551,0.0003299476,0.00255749,0.001874144,0.00216266,0.2139584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754918,"about_ca_system_score_gemma":0.002581206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04044639,"about_ca_topic_score_gemma":0.05579681,"domain_scores_codex":[0.9991067,0.00008709094,0.00008576084,0.0003058703,0.0002558252,0.0001587469],"domain_scores_gemma":[0.9972625,0.0004395178,0.0003398038,0.0005850095,0.001108503,0.0002648053],"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":[0.00001754284,0.000008675862,0.0006097962,0.0001262323,0.00000992903,0.000008706621,0.000007952145,0.0001087566,0.00003094558,0.0002607027,0.9976496,0.001161239],"study_design_scores_gemma":[0.0001380567,0.00002116772,0.004758021,0.0002775269,0.00002291893,0.00004258429,0.00008098422,0.00063953,0.0002510803,0.0009641381,0.9927735,0.00003055384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008839757,0.00003137813,0.00003458834,0.00006837,0.00002350871,0.000008720401,0.9985951,0.0003330542,0.0008168802],"genre_scores_gemma":[0.0001762547,0.00002965608,0.0001097748,0.00003999718,0.000009061878,0.00003615685,0.9987428,0.00005393328,0.0008024178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1054507,"threshold_uncertainty_score":0.3527676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05649175996414956,"score_gpt":0.3153078772759324,"score_spread":0.2588161173117828,"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."}}