{"id":"W4205870140","doi":"10.1016/s1359-6128(21)00078-1","title":"Mergers & Acquisitions Review 2020","year":2021,"lang":"en","type":"article","venue":"Pump Industry Analyst","topic":"Modeling, Simulation, and Optimization","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Mergers and acquisitions; Business; Finance; Political science; History; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004016906,0.0005446312,0.0004861052,0.003877532,0.0009707189,0.004298868,0.0008293759,0.002904442,0.03341687],"category_scores_gemma":[0.01210838,0.0004483598,0.000430361,0.004247218,0.0005729879,0.002698299,0.0007393284,0.002100044,0.02429692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004750635,"about_ca_system_score_gemma":0.01556799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01266689,"about_ca_topic_score_gemma":0.02350133,"domain_scores_codex":[0.9944379,0.0005515668,0.0003231182,0.0002837107,0.003977229,0.0004263818],"domain_scores_gemma":[0.9830446,0.001900129,0.001237125,0.0002704495,0.01266163,0.0008860454],"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":[0.00001725368,0.00001580369,0.0001588215,0.0003805138,0.000006976457,0.00005536944,0.00002397608,0.00006935967,0.0002122145,0.008326957,0.9296616,0.06107112],"study_design_scores_gemma":[0.00000233346,0.000007118379,0.0007666417,0.0002183208,0.000003617775,0.00003111455,0.00001559708,0.00002321451,0.00007985526,0.0002584014,0.9985901,0.0000036963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.002856201,0.3522512,0.001360095,0.103632,0.02809546,0.0003035837,0.003820635,0.0004685184,0.5072123],"genre_scores_gemma":[0.0294434,0.3766083,0.002204998,0.03467986,0.0156377,0.000343459,0.005744912,0.0002854049,0.5350519],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03341687,"threshold_uncertainty_score":0.1117905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08372128322535996,"score_gpt":0.3693021678782757,"score_spread":0.2855808846529158,"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."}}