{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002007663,0.0001972828,0.00062054,0.0001672277,0.0001818247,0.00001126691,0.0004083235,0.0000402285,0.003057636],"category_scores_gemma":[0.00125732,0.0001232919,0.0001788279,0.0007976042,0.000339276,0.0001512293,0.00007852853,0.0001304404,0.0004043355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003308968,"about_ca_system_score_gemma":0.000323689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008667658,"about_ca_topic_score_gemma":0.000003786381,"domain_scores_codex":[0.9976439,0.0000666769,0.0004370502,0.0004899668,0.0007329384,0.0006294704],"domain_scores_gemma":[0.9983358,0.0001033852,0.00008098537,0.0002780407,0.0002608084,0.0009409694],"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":[0.0003427999,0.0005785042,0.046533,0.01632329,0.0001592169,0.0000728103,0.00238156,7.300235e-7,0.01365515,0.0008212349,0.7584959,0.1606358],"study_design_scores_gemma":[0.001705571,0.001108459,0.01904958,0.006221439,0.0003531969,0.0001028348,0.0001390894,0.00006693447,0.004636608,0.00004684122,0.9662656,0.0003038172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2400097,0.624456,0.0006848218,0.05625952,0.00118034,0.01082252,0.00005146441,0.000298637,0.06623698],"genre_scores_gemma":[0.4896606,0.2840993,0.004403931,0.213039,0.001788963,0.0009364827,0.00001802103,0.00006075633,0.005992944],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.3403568,"threshold_uncertainty_score":0.9978537,"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."}}