{"id":"W2314904138","doi":"10.3833/pdr.v2011i9.1548","title":"PerkinElmer Agrees to Acquire Caliper Life Sciences for US$600 M","year":2011,"lang":"en","type":"article","venue":"PharmaDeals Review","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calipers; Portfolio; Cash; Business; Database transaction; Quarter (Canadian coin); Marketing; Computer science; Finance; Engineering; Mechanical engineering","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":[0.006475443,0.002259838,0.002271617,0.003814646,0.001100055,0.002649818,0.002396838,0.003448825,0.1429391],"category_scores_gemma":[0.00682002,0.001258379,0.001016842,0.001994582,0.001290183,0.003344132,0.001232135,0.0031944,0.1868971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276951,"about_ca_system_score_gemma":0.002838579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001592992,"about_ca_topic_score_gemma":0.003856615,"domain_scores_codex":[0.9947228,0.0006571985,0.0002499941,0.0006923196,0.003444294,0.0002333523],"domain_scores_gemma":[0.99458,0.001135453,0.0004365453,0.0004791388,0.002757202,0.0006117196],"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":[0.0004795287,0.0001700673,0.0004174458,0.001535158,0.00005935725,0.0003062893,0.0001206223,0.0002477099,0.08294902,0.01029811,0.4628399,0.4405768],"study_design_scores_gemma":[0.00005213527,0.0002560123,0.0007409189,0.0001012733,0.00004336256,0.001002481,0.00004535378,0.0005207333,0.01990024,0.001395128,0.9759074,0.00003502912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01037413,0.1832777,0.1507443,0.03940703,0.01460623,0.002597205,0.0087952,0.01781172,0.5723864],"genre_scores_gemma":[0.02590879,0.05970994,0.1008628,0.006882512,0.002666968,0.001081536,0.01318779,0.002133946,0.7875657],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1429391,"threshold_uncertainty_score":0.4781789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3463556383388496,"score_gpt":0.4810681235141742,"score_spread":0.1347124851753246,"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."}}