{"id":"W6957851295","doi":"10.6068/dp15999d89f0a1","title":"TREND: Xignite. FactSet Corporate Fundamentals: Average Daily Volume Last 52 Weeks | Stock Symbol: FIT | Symbol Name: Fitbit Inc, 06/18/2015 - 01/12/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-005-034","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 (firearms); Statistic; CONQUEST; Stock market; Earnings; Stock exchange","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":[0.0008860362,0.00224347,0.001345268,0.004530091,0.000658683,0.003187449,0.002733875,0.002055336,0.09290539],"category_scores_gemma":[0.005227644,0.0006940438,0.001122719,0.007903227,0.0002861668,0.002604287,0.001743999,0.002047459,0.2002105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244457,"about_ca_system_score_gemma":0.001698693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244685,"about_ca_topic_score_gemma":0.02979023,"domain_scores_codex":[0.9992347,0.00006999585,0.00007672905,0.0002687902,0.000218112,0.0001317596],"domain_scores_gemma":[0.9977474,0.0003454275,0.0002791905,0.0005416756,0.0008618813,0.0002245526],"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":[0.00002742964,0.00001261033,0.0009432182,0.0001460227,0.00001387715,0.0000115029,0.00000905615,0.0001565398,0.00005439689,0.0002483189,0.9965193,0.001857721],"study_design_scores_gemma":[0.0001889717,0.00004051513,0.007479321,0.0002604434,0.00003084575,0.00006552417,0.00008321113,0.001231963,0.0003983211,0.001173148,0.9890072,0.00004057576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001735994,0.00004317408,0.00005808366,0.00008100284,0.00003646417,0.00001167896,0.9979954,0.000678759,0.0009218818],"genre_scores_gemma":[0.0002992868,0.00003321028,0.0001541418,0.00004299886,0.00001436861,0.00003697294,0.9985513,0.00007814648,0.0007895842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09290539,"threshold_uncertainty_score":0.3107995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07202818511094877,"score_gpt":0.3104158049108401,"score_spread":0.2383876197998914,"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."}}