{"id":"W6976924893","doi":"10.6068/dp15f36257cc418","title":"Trend. Xignite. FactSet Corporate Fundamentals: Market Capitalization | Country: USA | Stock Symbol: VRHD | Symbol Name: VR Holdings Inc | Exchange: Other OTC/NBB, 06/11/2015-08/25/2015. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-112.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market capitalization; Stock exchange; Stock market; Capitalization; Stock (firearms); Market maker; Earnings","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":[0.001042085,0.002007575,0.001471826,0.004623455,0.0008009558,0.004217464,0.003020356,0.002143301,0.209144],"category_scores_gemma":[0.007718856,0.000936571,0.001417463,0.00946598,0.0003017776,0.002861333,0.002512552,0.002432323,0.2914174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665198,"about_ca_system_score_gemma":0.002130585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02639365,"about_ca_topic_score_gemma":0.03573561,"domain_scores_codex":[0.9990816,0.00008885489,0.0001052133,0.0003146897,0.0002293142,0.000180411],"domain_scores_gemma":[0.9969448,0.0006873776,0.0004023216,0.0005788167,0.001108964,0.0002777548],"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":[0.00002214121,0.000008222727,0.000665139,0.0002289105,0.00001280477,0.0000086702,0.00001123073,0.00009603102,0.00003027184,0.0002913741,0.997476,0.00114923],"study_design_scores_gemma":[0.0002389846,0.00002279973,0.004352714,0.0004205148,0.00002517083,0.00003180046,0.00007823111,0.0004188162,0.0002292837,0.001139301,0.993013,0.00002944809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004987529,0.00001951629,0.00002309962,0.00004963599,0.00001742271,0.000006612675,0.998922,0.0002881702,0.0006237394],"genre_scores_gemma":[0.0001757381,0.00003158962,0.0001332023,0.00004558954,0.000009816526,0.00005102725,0.9985623,0.0001172336,0.0008734813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.209144,"threshold_uncertainty_score":0.6996563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07133246487861858,"score_gpt":0.3160060460296673,"score_spread":0.2446735811510487,"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."}}