{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002725312,0.0005840403,0.0005300461,0.009814162,0.0005964538,0.006647993,0.000923668,0.001325905,0.02048022],"category_scores_gemma":[0.01458002,0.0003788719,0.0006719089,0.01701852,0.00073268,0.006896343,0.001886301,0.002210115,0.008855257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004014987,"about_ca_system_score_gemma":0.004246572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02436824,"about_ca_topic_score_gemma":0.02876612,"domain_scores_codex":[0.9958759,0.000219779,0.0004134499,0.000378364,0.002589164,0.0005233609],"domain_scores_gemma":[0.9718919,0.004161003,0.01048815,0.000449667,0.01059528,0.002414027],"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":[0.0004081545,0.0002441601,0.1581811,0.001383212,0.00008813442,0.0002893757,0.000994163,0.0004016711,0.0006603409,0.006143018,0.419851,0.4113558],"study_design_scores_gemma":[0.0000249089,0.00008382607,0.1776039,0.0007051338,0.00005239542,0.0005359272,0.001532086,0.0003725062,0.001148637,0.000497526,0.8174078,0.00003538972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3302822,0.2011764,0.002891734,0.07231309,0.01001893,0.000222815,0.1130542,0.001703293,0.2683373],"genre_scores_gemma":[0.4422437,0.2073992,0.003409594,0.01276204,0.0112752,0.0002578945,0.1409986,0.0009167443,0.180737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02436824,"threshold_uncertainty_score":0.06851315,"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."}}