{"id":"W6976989288","doi":"10.6068/dp15f47149d1136","title":"Trend. Xignite. FactSet Corporate Fundamentals: Total Expenses | Country: USA | Stock Symbol: CHGG | Symbol Name: Chegg Inc | Exchange: NYSE Arca, 12/31/2012-12/31/2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-161.","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; Earnings; License; 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":[0.001050922,0.002065449,0.001295241,0.004882244,0.0007466421,0.00360299,0.00292888,0.002073606,0.1626008],"category_scores_gemma":[0.007128087,0.0008196758,0.001234008,0.009423573,0.0003021775,0.002851839,0.002265773,0.002221046,0.2447849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159057,"about_ca_system_score_gemma":0.001998364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.024494,"about_ca_topic_score_gemma":0.03426754,"domain_scores_codex":[0.9991177,0.00009250086,0.00009185167,0.0003098437,0.0002365458,0.0001515761],"domain_scores_gemma":[0.9974641,0.0005781167,0.0003353647,0.0005376049,0.0008376174,0.000247328],"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":[0.00001966913,0.00000906372,0.0006359227,0.0002096215,0.00001239417,0.000008409964,0.00001205222,0.0001147276,0.00003183273,0.0003177411,0.9973581,0.001270394],"study_design_scores_gemma":[0.0001595026,0.0000235908,0.003948986,0.0003510166,0.00002302092,0.00003552249,0.00008473824,0.0005065101,0.0002249132,0.001053739,0.9935613,0.00002730347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000723393,0.00002545621,0.00003120378,0.00006073353,0.00002106537,0.000008159183,0.9987185,0.0003288325,0.0007338456],"genre_scores_gemma":[0.0001691913,0.00002999239,0.0001319247,0.00003832447,0.000007929447,0.00004883348,0.9987069,0.00008174896,0.000785061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373991,"threshold_uncertainty_score":0.543954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09950917665921083,"score_gpt":0.3187485281276648,"score_spread":0.219239351468454,"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."}}