{"id":"W4247809272","doi":"10.1358/dot.2018.54.2.2792548","title":"Life sciences licensing deals in the fourthquarter of 2017: updatesand trends","year":2018,"lang":"en","type":"article","venue":"Drugs of today","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Medicine; Mergers and acquisitions; Finance; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.01191707,0.0001035468,0.0003076567,0.0005018258,0.0001686037,0.000294418,0.003089997,0.00009488151,0.0003299282],"category_scores_gemma":[0.004629947,0.0000555445,0.00008395752,0.001804136,0.0008017331,0.001275918,0.0002076032,0.000185073,0.00005633114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007635166,"about_ca_system_score_gemma":0.0001438789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002873144,"about_ca_topic_score_gemma":0.00006097083,"domain_scores_codex":[0.9967984,0.0003195497,0.000754791,0.0003467595,0.001508966,0.0002715568],"domain_scores_gemma":[0.9970145,0.001627807,0.0005059912,0.0005007972,0.0002643207,0.00008655857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005270515,0.00009229163,0.05904688,0.000005311532,0.00001449206,0.000002006351,0.02043242,0.00004484252,0.0005832656,0.003946337,0.7813165,0.1344629],"study_design_scores_gemma":[0.002881465,0.0009152995,0.4084908,0.0004421197,0.00007062297,0.00003486133,0.0665488,0.009196969,0.02518748,0.08281204,0.4023291,0.001090404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8863966,0.0002375469,0.00009927287,0.01219185,0.0003551605,0.00006293906,0.000009484804,0.000007847228,0.1006392],"genre_scores_gemma":[0.9974926,0.00001059837,0.0004613393,0.00124718,0.0001847321,0.000001576786,0.000001000799,0.000003790342,0.0005971586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3789874,"threshold_uncertainty_score":0.5742034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023021727966578,"score_gpt":0.4182660856357171,"score_spread":0.3159639128390592,"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."}}