{"id":"W7034790528","doi":"","title":"Waste Management Announces Third Quarter Earnings - Mergers and Acquisitions (MERGERAC) News","year":2019,"lang":"en","type":"other","venue":"","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Mergers and acquisitions; Earnings management","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":[0.001001758,0.0006217216,0.0003386892,0.001232809,0.001825176,0.006554142,0.0006938795,0.00465176,0.1857738],"category_scores_gemma":[0.002980483,0.0003042421,0.0005828339,0.001118338,0.0004087388,0.001521191,0.001275183,0.003256618,0.06319325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002323884,"about_ca_system_score_gemma":0.004209741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01952884,"about_ca_topic_score_gemma":0.04999032,"domain_scores_codex":[0.9989402,0.00004783204,0.00002747132,0.00005364971,0.0007098382,0.0002209633],"domain_scores_gemma":[0.9983423,0.000212294,0.000148344,0.00009159659,0.0006909602,0.0005145245],"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":[0.00005093444,0.00003274816,0.0002334811,0.00001513104,0.000001954284,0.00007319613,0.00001079914,0.00003192574,0.0001335706,0.002339091,0.9832771,0.01380003],"study_design_scores_gemma":[0.00001812491,0.00003220007,0.002102145,0.00003391477,0.000003099308,0.00004168824,0.00007277799,0.0001925862,0.0003369331,0.0007939796,0.996362,0.00001056029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006990963,0.002888073,0.0007037697,0.06858145,0.0251409,0.0001261866,0.007780703,0.001914182,0.8858738],"genre_scores_gemma":[0.008144955,0.0007632976,0.0001973441,0.005875396,0.002343923,0.000020119,0.001961544,0.0001766973,0.9805167],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1857738,"threshold_uncertainty_score":0.6214754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007703824455612822,"score_gpt":0.2287772838227223,"score_spread":0.2210734593671095,"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."}}