{"id":"W6901559572","doi":"10.6068/dp15d41ee66e787","title":"TREND: Xignite. FactSet Corporate Fundamentals: Number of Employees | Stock Symbol: INTC | Symbol Name: Intel Corp, 12/31/2011 - 12/31/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-005-118","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); Earnings; CONQUEST; Stock market; Stock exchange; Context (archaeology)","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":[0.0009631609,0.002145852,0.001455815,0.005016178,0.0008082427,0.003308533,0.0028784,0.002235797,0.1034547],"category_scores_gemma":[0.005869605,0.0007513958,0.001054836,0.009507175,0.0003293762,0.002476876,0.00185233,0.002137831,0.2082667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738247,"about_ca_system_score_gemma":0.002529146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04093062,"about_ca_topic_score_gemma":0.05691055,"domain_scores_codex":[0.9991475,0.00008334204,0.00007983419,0.0002921762,0.0002448526,0.0001522839],"domain_scores_gemma":[0.9974172,0.0004096006,0.0003133065,0.000557433,0.001050635,0.0002518679],"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":[0.00001778887,0.000008651515,0.0006315981,0.0001269809,0.00001016016,0.000008715088,0.000007699457,0.0001129968,0.00003063536,0.0002556191,0.9976166,0.001172408],"study_design_scores_gemma":[0.0001391032,0.00002149097,0.004878706,0.0002775287,0.00002284872,0.00004200859,0.00007949638,0.0006496358,0.0002424546,0.0009603147,0.9926565,0.00002983837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009057736,0.00003149275,0.00003431944,0.00006882106,0.00002345367,0.000008650203,0.9985847,0.0003286019,0.0008293203],"genre_scores_gemma":[0.0001791992,0.00002980126,0.0001080486,0.00004041349,0.000008938714,0.00003545997,0.9987397,0.00005290791,0.0008054774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8965453,"threshold_uncertainty_score":0.3460905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07245728944877058,"score_gpt":0.3207412873062381,"score_spread":0.2482839978574675,"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."}}