{"id":"W6958000240","doi":"10.6068/dp15f559ac73440","title":"TREND: Xignite. FactSet Corporate Fundamentals: Earnings Per Share - Fiscal Period | Stock Symbol: AAPL | Symbol Name: Apple Inc, 09/30/2011 - 09/30/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-005-063","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Stock (firearms); Earnings per share; Stock market; Fiscal year; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008611583,0.002055102,0.001239436,0.004349906,0.0007406863,0.002908077,0.002796316,0.002108078,0.0944505],"category_scores_gemma":[0.005143797,0.0007143731,0.001031608,0.008176568,0.0002858573,0.002270284,0.001815262,0.002067253,0.1778504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636724,"about_ca_system_score_gemma":0.002308997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0420798,"about_ca_topic_score_gemma":0.0594378,"domain_scores_codex":[0.9992498,0.00007170864,0.00007266139,0.0002461467,0.0002182395,0.0001415093],"domain_scores_gemma":[0.9977669,0.0003333895,0.00027428,0.0004917816,0.0009157904,0.0002179028],"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":[0.00002074996,0.00001028125,0.0007760559,0.0001277482,0.00001141104,0.00001047714,0.000008941271,0.0001296645,0.00004170219,0.0002717715,0.9973441,0.001247219],"study_design_scores_gemma":[0.000158026,0.00002324752,0.005715875,0.0002519622,0.000023734,0.00004496051,0.00007751251,0.0007482618,0.0002997961,0.0009357479,0.9916897,0.00003123765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000103268,0.00002646049,0.0000342071,0.00005810339,0.00002081694,0.000008828338,0.9986733,0.0003423352,0.0007327631],"genre_scores_gemma":[0.0001869502,0.00002339249,0.0001120547,0.00003332552,0.000007270315,0.00003272835,0.9988886,0.00004767568,0.000668066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0944505,"threshold_uncertainty_score":0.3159684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04992446736266127,"score_gpt":0.2928030517121308,"score_spread":0.2428785843494695,"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."}}