{"id":"W6920497187","doi":"10.6068/dp1586dfd21eb14","title":"Trend. Xignite. FactSet Corporate Fundamentals: Earnings Growth | Country: USA | Stock Symbol: MNHD | Symbol Name: Mongolia Holdings Inc | Exchange: OTC Pink Marketplace, 09/02/2014-03/31/2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-062.","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Stock (firearms); Earnings per share; CONQUEST; License; Stock market","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":[0.0008775983,0.001932145,0.001205826,0.003962441,0.0006838288,0.003279953,0.002760874,0.001894611,0.1407773],"category_scores_gemma":[0.005111275,0.0007781943,0.001123377,0.008166698,0.0002716118,0.002488488,0.002189271,0.001912466,0.2348666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425965,"about_ca_system_score_gemma":0.001770633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0269315,"about_ca_topic_score_gemma":0.03706787,"domain_scores_codex":[0.9993249,0.00006535987,0.00006628291,0.0002355671,0.0001770132,0.0001308874],"domain_scores_gemma":[0.9981961,0.0003485262,0.0002312909,0.0004362263,0.0005964825,0.0001914009],"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":[0.00002127382,0.000008378204,0.000703114,0.0001970334,0.00001217385,0.000009990915,0.00001234026,0.0001043617,0.00004156474,0.000283145,0.9971903,0.001416297],"study_design_scores_gemma":[0.0001645325,0.00002362773,0.005173933,0.0003351264,0.00002230161,0.00003864273,0.00007794515,0.0004992242,0.0002795703,0.0009080643,0.9924498,0.00002738103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008017242,0.00002486185,0.00002829409,0.00005289304,0.00002001117,0.000007366959,0.9985846,0.0004002423,0.0008016042],"genre_scores_gemma":[0.0001679359,0.00002807163,0.0001146911,0.0000325056,0.000006878527,0.00003498725,0.9986676,0.00009125974,0.0008561396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1407773,"threshold_uncertainty_score":0.4709471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04761898278617115,"score_gpt":0.2894231462123194,"score_spread":0.2418041634261482,"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."}}