{"id":"W6901564557","doi":"10.6068/dp15b017bdedb55","title":"Trend. Xignite. FactSet Corporate Fundamentals: Average Daily Volume Last 6 Months | Country: USA | Stock Symbol: NDAQ | Symbol Name: Nasdaq Inc | Exchange: NASDAQ Stock Exchange, 01/04/2010-03/23/2017. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-035.","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; Statistic; Stock market index; 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":[0.0008444513,0.002462582,0.00145213,0.004701355,0.0007034158,0.003572924,0.002996412,0.002264331,0.1052643],"category_scores_gemma":[0.005334118,0.0008163253,0.001360367,0.009027055,0.0003068527,0.002908967,0.002242636,0.002234102,0.2186903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393944,"about_ca_system_score_gemma":0.001605691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02343681,"about_ca_topic_score_gemma":0.03029013,"domain_scores_codex":[0.9991365,0.00007409898,0.00009219268,0.0002957781,0.000247399,0.0001541305],"domain_scores_gemma":[0.997894,0.0003835107,0.0002700961,0.0004945766,0.0007240461,0.0002336685],"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":[0.00002471835,0.00001113268,0.0007571598,0.0002012459,0.00001462239,0.00001066887,0.00001138795,0.0001482114,0.00004977022,0.0002400066,0.996965,0.001566074],"study_design_scores_gemma":[0.0002169587,0.00003823928,0.005966336,0.0003388843,0.00002807449,0.00005975743,0.00009085107,0.001021998,0.000405646,0.001232668,0.9905585,0.0000421719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009562447,0.00003260276,0.0000348738,0.000055698,0.00002936691,0.000008034211,0.9985642,0.0005477851,0.0006318044],"genre_scores_gemma":[0.0002067895,0.00003163312,0.0001333879,0.00003451524,0.00001102169,0.0000323865,0.9989129,0.00008646675,0.0005508359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1052643,"threshold_uncertainty_score":0.3521443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07373042409535564,"score_gpt":0.3018609256450643,"score_spread":0.2281305015497087,"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."}}