{"id":"W6958251796","doi":"10.6068/dp15d41f467ff92","title":"TREND: Xignite. FactSet Corporate Fundamentals: Number of Employees | Stock Symbol: MRK | Symbol Name: Merck & Co Inc, 12/31/2011 - 12/31/2016. 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; Context (archaeology); Statistical analysis","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":[0.001192255,0.002077535,0.001640614,0.004876225,0.0008172627,0.00377843,0.003222147,0.002539544,0.1327884],"category_scores_gemma":[0.007136455,0.0007663458,0.001099459,0.00967091,0.0003388662,0.002436896,0.001911079,0.00211397,0.2287467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037273,"about_ca_system_score_gemma":0.003260806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04180996,"about_ca_topic_score_gemma":0.05720597,"domain_scores_codex":[0.9990133,0.00009988969,0.00009413759,0.0003355978,0.0002831424,0.0001739474],"domain_scores_gemma":[0.9968963,0.0005353073,0.0004151377,0.0006405148,0.001186742,0.0003260154],"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":[0.00002181411,0.000008425878,0.0005672467,0.0001517925,0.00001068688,0.000007456817,0.00000648116,0.00009681359,0.00003233079,0.000270995,0.9976695,0.001156389],"study_design_scores_gemma":[0.0001679272,0.00002478268,0.003823819,0.0003126338,0.00002721622,0.00003738082,0.00005800559,0.0005076063,0.0002263393,0.000928815,0.9938567,0.00002855082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007035091,0.00003783817,0.00003205265,0.00007838173,0.00002323957,0.000009377428,0.9985922,0.0002837043,0.0008728717],"genre_scores_gemma":[0.0001811983,0.00003899307,0.000113984,0.00006147948,0.00001061501,0.00004484961,0.9985304,0.00005767696,0.0009607759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1327884,"threshold_uncertainty_score":0.4442215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07941402421656807,"score_gpt":0.3333271882497815,"score_spread":0.2539131640332134,"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."}}