{"id":"W7020619331","doi":"","title":"Maxwell Reports Third Quarter Results - Mergers and Acquisitions (MERGERAC) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mergers and acquisitions; Quarter (Canadian coin); Merger control; Postal service","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":[0.002029641,0.0007956625,0.0007004614,0.004627451,0.001196887,0.007300663,0.0009505606,0.002546358,0.2701267],"category_scores_gemma":[0.01009809,0.0004068416,0.0007766752,0.003617238,0.0004164852,0.001810037,0.001412211,0.002484276,0.1783259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002527303,"about_ca_system_score_gemma":0.003650734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01851224,"about_ca_topic_score_gemma":0.03106078,"domain_scores_codex":[0.9975997,0.0001130813,0.0001110373,0.0001496535,0.001699299,0.0003271839],"domain_scores_gemma":[0.9920163,0.001386128,0.0007859335,0.0006372983,0.003748047,0.001426273],"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":[0.00005676002,0.00003157364,0.000427197,0.00003331824,0.000003696995,0.00003132978,0.00000718157,0.00003450907,0.00005017282,0.0006284479,0.9883476,0.01034816],"study_design_scores_gemma":[0.00003548356,0.00002626038,0.006160215,0.00008746359,0.0000107352,0.00003353165,0.00004408183,0.0002449648,0.0005706655,0.0007309529,0.9920419,0.00001375854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004704271,0.003770731,0.0008980809,0.0314782,0.02168118,0.0002902063,0.1084109,0.003527562,0.8252388],"genre_scores_gemma":[0.01101588,0.00206488,0.0005332275,0.00517072,0.004393402,0.0000856167,0.03446297,0.001114233,0.9411591],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2701267,"threshold_uncertainty_score":0.9036639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0328859391296013,"score_gpt":0.212597062789936,"score_spread":0.1797111236603346,"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."}}