{"id":"W4390095083","doi":"10.1016/j.respol.2023.104938","title":"The interdependent influence of lobbying and intellectual capital on new drug development","year":2023,"lang":"en","type":"article","venue":"Research Policy","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"National University of Singapore; York University","keywords":"Interdependence; Business; Pharmaceutical industry; Criticism; Social capital; Industrial organization; Capital (architecture); Public economics; Sample (material); Economics; Biotechnology; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0230388,0.0002764693,0.0008013495,0.005051323,0.001821213,0.01261799,0.0007344707,0.002880132,0.009128073],"category_scores_gemma":[0.1187932,0.000252137,0.0004449212,0.005899069,0.007067642,0.004643071,0.003224945,0.002493865,0.0006737152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006439176,"about_ca_system_score_gemma":0.008416697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005087791,"about_ca_topic_score_gemma":0.006840699,"domain_scores_codex":[0.984734,0.008792968,0.0005865102,0.0007388209,0.002447658,0.002700111],"domain_scores_gemma":[0.6664907,0.2662018,0.04263704,0.005399059,0.008355804,0.01091551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002662898,0.001146813,0.4449236,0.001095179,0.00133344,0.00100076,0.002292698,0.01598016,0.001832591,0.3292823,0.01685819,0.1815913],"study_design_scores_gemma":[0.0003122784,0.0005638305,0.6412499,0.0007577594,0.001052902,0.0004609974,0.00711387,0.01522085,0.00332171,0.2916135,0.03818178,0.0001506116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7547166,0.01804375,0.003461201,0.06333007,0.0002264226,0.00008885121,0.0005941995,0.00007347236,0.1594654],"genre_scores_gemma":[0.9974182,0.001141839,0.00009771994,0.0005402323,0.0001102275,0.00001094348,0.00002366907,0.000004780853,0.0006523998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9949487,"threshold_uncertainty_score":0.1218423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.731170739857711,"score_gpt":0.6596370523479049,"score_spread":0.07153368750980604,"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."}}