{"id":"W6938974221","doi":"10.6068/dp15d4215de0e6","title":"TREND: Xignite. FactSet Corporate Fundamentals: Number of Employees | Stock Symbol: AMZN | Symbol Name: Amazon.com 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; 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":[0.0009328683,0.002174038,0.001435182,0.004861453,0.0008368228,0.00322755,0.002993342,0.00232235,0.102542],"category_scores_gemma":[0.005598843,0.0007390269,0.001049616,0.00945883,0.0003299366,0.00251206,0.001910128,0.002082087,0.2066495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848957,"about_ca_system_score_gemma":0.002453587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0476982,"about_ca_topic_score_gemma":0.06597791,"domain_scores_codex":[0.9991661,0.00007956692,0.00007514874,0.000277359,0.0002473072,0.0001545114],"domain_scores_gemma":[0.9975774,0.00036069,0.0002794527,0.0005341228,0.0009997148,0.0002486499],"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":[0.00001760484,0.000009083737,0.0006033249,0.0001312674,0.000009732082,0.000008985378,0.000008500843,0.0001147659,0.00003610852,0.0002615914,0.9977017,0.001097411],"study_design_scores_gemma":[0.0001420195,0.00002066897,0.004724789,0.0002437148,0.00002094362,0.0000422905,0.00008201253,0.0007097921,0.0002597378,0.0008873341,0.9928365,0.00003023178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009479748,0.00002975681,0.000033901,0.0000663779,0.00002156147,0.000008573068,0.9985891,0.0003649323,0.0007909552],"genre_scores_gemma":[0.0001857192,0.00002789027,0.0001117208,0.00003825725,0.000008142611,0.00003309841,0.9987624,0.00005617207,0.0007766734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.102542,"threshold_uncertainty_score":0.3430372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06371250104084236,"score_gpt":0.3148646671985997,"score_spread":0.2511521661577574,"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."}}