{"id":"W6920318390","doi":"10.6068/dp15d41f958a294","title":"TREND: Xignite. FactSet Corporate Fundamentals: Number of Employees | Stock Symbol: PFE | Symbol Name: Pfizer Inc, 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.002685515,0.003824618,0.005201062,0.0009558888,0.0006325546,0.001665584,0.01674902,0.002365766,0.07511634],"category_scores_gemma":[0.0001974903,0.003617022,0.00001760279,0.0001479349,0.002760624,0.002881543,0.009375415,0.002594976,0.138053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000325974,"about_ca_system_score_gemma":0.001184634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3208106,"about_ca_topic_score_gemma":0.03669202,"domain_scores_codex":[0.9824235,0.001765863,0.003500048,0.005734684,0.003526635,0.003049276],"domain_scores_gemma":[0.9645901,0.001602542,0.007707982,0.02420794,0.0000400979,0.001851304],"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":[0.00095022,0.001464838,0.0006438041,0.002075568,0.003389728,0.00194231,0.00001823236,0.000003048393,0.0001344326,0.00009891498,0.9887646,0.000514275],"study_design_scores_gemma":[0.004175101,0.0003826105,0.00006104215,0.0005375972,0.002553853,0.0009894178,0.0001605704,0.000397077,0.000002365,0.000003996196,0.9868587,0.003877627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000137795,0.003632483,0.00001000503,0.00000760456,0.002093426,0.003832586,0.9779836,0.001018205,0.01140834],"genre_scores_gemma":[0.0001271403,0.002342616,0.0005816304,0.0002245535,0.001181256,0.0001783001,0.9833857,0.002817641,0.009161199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2841186,"threshold_uncertainty_score":0.9999533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06647404434703685,"score_gpt":0.3177801058250664,"score_spread":0.2513060614780295,"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."}}