{"id":"W6976440785","doi":"10.6068/dp15d8cf1286471","title":"TREND: Xignite. FactSet Corporate Fundamentals: Total Expenses | Stock Symbol: SLB, OIS, NOV, HAL, BHI | Symbol Name: Schlumberger NV, Oil States International Inc, National Oilwell Varco Inc, Halliburton Co, Baker Hughes Inc, 12/31/2011 - 12/31/2015. Data-Planet™ Statistical Datasets 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":"Earnings; Stock (firearms); Stock market; CONQUEST; Context (archaeology); Common stock","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":[0.001107601,0.002497265,0.001475671,0.00504305,0.0008091643,0.00406321,0.003301961,0.002283291,0.1308184],"category_scores_gemma":[0.007027989,0.0007466638,0.001212851,0.009074702,0.0003542505,0.003193176,0.002009791,0.002287999,0.25466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748815,"about_ca_system_score_gemma":0.002466748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03086944,"about_ca_topic_score_gemma":0.04587618,"domain_scores_codex":[0.9990055,0.00009453937,0.0001007478,0.000336766,0.0002938338,0.0001686816],"domain_scores_gemma":[0.9970584,0.0004925336,0.0003367038,0.0006376001,0.001170386,0.0003043788],"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":[0.00001530461,0.000007829186,0.0005032898,0.0001212476,0.000008471232,0.000007509033,0.000007341259,0.0001011066,0.00002612904,0.0002590031,0.9977103,0.00123229],"study_design_scores_gemma":[0.0001253395,0.00002216989,0.003339212,0.0002651169,0.00001964849,0.00003628924,0.00007069247,0.000732667,0.0002326285,0.00116654,0.9939638,0.00002596928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008615118,0.00003522854,0.00004431977,0.00008506932,0.00002972618,0.00001035755,0.9982207,0.0004809576,0.001007481],"genre_scores_gemma":[0.0001694459,0.00003074055,0.0001409934,0.00004220643,0.000009677281,0.00003797646,0.9986783,0.00007161735,0.0008191667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1308184,"threshold_uncertainty_score":0.4376312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06104718589169077,"score_gpt":0.3168628329033537,"score_spread":0.2558156470116629,"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."}}