{"id":"W6920515023","doi":"10.6068/dp15b34f83ad693","title":"Trend. Xignite. FactSet Corporate Fundamentals: Total Volume 1 Week | Country: USA | Stock Symbol: TSLA | Symbol Name: Tesla Motors Inc | Exchange: NASDAQ Stock Exchange, 06/29/2010-03/31/2017. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-164.","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; Stock (firearms); Stock market; License; Restricted stock; 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":[0.0009997407,0.002089211,0.00133038,0.004993731,0.0007297119,0.003904727,0.002888783,0.002021942,0.1534197],"category_scores_gemma":[0.006433346,0.0008750836,0.001222236,0.009926259,0.0003054039,0.002969082,0.002318605,0.002192432,0.2710291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457983,"about_ca_system_score_gemma":0.001836539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02294987,"about_ca_topic_score_gemma":0.02871622,"domain_scores_codex":[0.9991236,0.00008396902,0.000090508,0.0002963127,0.0002497302,0.0001557609],"domain_scores_gemma":[0.997566,0.0004884606,0.0003180269,0.0005783649,0.0008065474,0.000242682],"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":[0.00001928778,0.000007622113,0.0005690235,0.0001756475,0.00001121351,0.000008526957,0.0000107902,0.0001157478,0.00003593141,0.0002983951,0.9974164,0.001331263],"study_design_scores_gemma":[0.0001471578,0.00002256404,0.003714641,0.0002896613,0.00001939862,0.0000354743,0.00007017429,0.000509505,0.0002616652,0.0009280767,0.9939749,0.00002678248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006870957,0.00002506999,0.00003254338,0.00005698499,0.00002427009,0.000007171584,0.9985693,0.0004452212,0.0007707639],"genre_scores_gemma":[0.0001688026,0.00003012679,0.0001251074,0.00003537205,0.000009354006,0.00003663726,0.9986842,0.0000987001,0.0008116562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1534197,"threshold_uncertainty_score":0.5132401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09078454710274,"score_gpt":0.3086552160941904,"score_spread":0.2178706689914504,"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."}}