{"id":"W6901741518","doi":"10.6068/dp158d07a33c068","title":"Trend. Xignite. FactSet Corporate Fundamentals: Market Capitalization | Country: USA | Stock Symbol: NKE | Symbol Name: Nike Inc | Exchange: NYSE Arca, 12/05/2011-12/02/2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-112.","year":2016,"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 (firearms); Stock market; Common stock; Earnings per share","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":[0.00103561,0.002027923,0.001483804,0.00447723,0.000787896,0.003808752,0.003014708,0.00227282,0.1771904],"category_scores_gemma":[0.007342416,0.0008665114,0.001393046,0.009015962,0.0002978483,0.002630072,0.002419932,0.00238653,0.2628641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619875,"about_ca_system_score_gemma":0.002087137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02523823,"about_ca_topic_score_gemma":0.03582494,"domain_scores_codex":[0.9991,0.00009008699,0.0001027638,0.0003065858,0.0002266448,0.0001739298],"domain_scores_gemma":[0.9973184,0.0005906799,0.0003610947,0.0005221723,0.0009413419,0.0002662342],"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":[0.00002351019,0.000009596833,0.0007004941,0.0002399858,0.00001365359,0.000009121156,0.00001213946,0.0001049141,0.00003604224,0.0002943712,0.9973464,0.00120967],"study_design_scores_gemma":[0.0002337977,0.00002371539,0.004682359,0.0004081058,0.00002656557,0.00003552291,0.00008288725,0.0004458727,0.0002368017,0.001143251,0.9926496,0.00003161661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005747713,0.00002279046,0.00002440507,0.0000498176,0.00001829282,0.000007166742,0.9989539,0.0002728719,0.0005932595],"genre_scores_gemma":[0.0001733062,0.00003155419,0.0001381339,0.00004495408,0.00000932059,0.00005448842,0.9986426,0.00009285885,0.0008129071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1771904,"threshold_uncertainty_score":0.592761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06042692893332786,"score_gpt":0.2947105858446643,"score_spread":0.2342836569113364,"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."}}