{"id":"W7067767737","doi":"","title":"Net Revenues, Operating Income Up for MGM in Q4","year":2019,"lang":"en","type":"article","venue":"VTechWorks (Virginia Tech)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comparability; Net income; Revenue; Quarter (Canadian coin); Net profit; International comparisons","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":[0.0004664524,0.0002515727,0.0001617392,0.001893325,0.0004504367,0.001174169,0.0004786318,0.0002971726,0.008789538],"category_scores_gemma":[0.00204285,0.0001181023,0.0002993557,0.001482395,0.0002060494,0.0008097906,0.0008569375,0.0009102824,0.003222713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698984,"about_ca_system_score_gemma":0.001458247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08905596,"about_ca_topic_score_gemma":0.105989,"domain_scores_codex":[0.9995328,0.00003127074,0.00002332806,0.00005528183,0.0001647614,0.0001924753],"domain_scores_gemma":[0.9992398,0.00008801539,0.0002025471,0.00004196959,0.0002692765,0.0001583952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00121532,0.0005545337,0.7986543,0.0001289285,0.0001132679,0.0006618541,0.0006028574,0.004339862,0.001421138,0.005206183,0.1270056,0.06009621],"study_design_scores_gemma":[0.00003479119,0.0003188854,0.9245768,0.00004331127,0.00003313461,0.0001304547,0.001187657,0.001496352,0.001126728,0.0006213502,0.07040494,0.00002557952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9042208,0.0001794218,0.000309256,0.0004319017,0.0001029099,0.0000753178,0.0460066,0.000246428,0.04842744],"genre_scores_gemma":[0.8516876,0.0001611397,0.0003899709,0.0001380187,0.00006644249,0.0001022686,0.07666028,0.0001048227,0.0706896],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08905596,"threshold_uncertainty_score":0.1770752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06459136794802729,"score_gpt":0.3716365407815497,"score_spread":0.3070451728335225,"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."}}