{"id":"W6976828653","doi":"10.6068/dp15a9079491694","title":"Trend. Xignite. FactSet Corporate Fundamentals: Market Capitalization Fully Diluted | Country: USA | Stock Symbol: FFSI | Symbol Name: Fast Food Systems Inc | Exchange: Other OTC/NBB, Day Format Error: 2147483647-Day Format Error: 0. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-115.","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 exchange; Market capitalization; Stock market; Stock (firearms); Earnings; Capitalization; License","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001049879,0.002075689,0.001338312,0.004448676,0.0007685522,0.004069904,0.003154657,0.002081593,0.1948737],"category_scores_gemma":[0.00753295,0.0009484189,0.001361842,0.008510454,0.0003154068,0.002982751,0.002332677,0.002256246,0.2883819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564652,"about_ca_system_score_gemma":0.002002553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02434649,"about_ca_topic_score_gemma":0.03412405,"domain_scores_codex":[0.9991135,0.00007846349,0.00008979273,0.0003223876,0.0002371171,0.0001587218],"domain_scores_gemma":[0.9971613,0.0005960522,0.0003651819,0.0006528485,0.0009868667,0.0002378698],"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":[0.00001764146,0.000006697885,0.0006335238,0.0001650677,0.00001164756,0.000007491624,0.000009900976,0.0001010561,0.00003178681,0.0003100944,0.9974594,0.001245691],"study_design_scores_gemma":[0.0001516479,0.00001944034,0.004085543,0.0003033639,0.00002343252,0.00003399091,0.00006400644,0.0004798561,0.0002975528,0.001258043,0.9932535,0.00002954308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006726505,0.00002224131,0.0000399989,0.00005611336,0.00002406228,0.000007127077,0.9985581,0.0004694091,0.0007557806],"genre_scores_gemma":[0.0002132833,0.00003254201,0.0001739148,0.00004692524,0.00001145528,0.00004887665,0.9981997,0.0001598322,0.001113376],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8051263,"threshold_uncertainty_score":0.6519176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06969606754990827,"score_gpt":0.2965733856540578,"score_spread":0.2268773181041496,"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."}}