{"id":"W7097677705","doi":"","title":"News and analysis","year":2016,"lang":"en","type":"article","venue":"","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malice; Judgement; Economic Justice; Punitive damages; Sister; Legislative history","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003329653,0.0008958631,0.0009354834,0.003738149,0.002170174,0.009955975,0.002168469,0.005287091,0.4417685],"category_scores_gemma":[0.02760127,0.0004664706,0.001125749,0.004331171,0.001101169,0.00402666,0.002508481,0.005035767,0.2962984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003247463,"about_ca_system_score_gemma":0.008948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006181218,"about_ca_topic_score_gemma":0.007512757,"domain_scores_codex":[0.9957075,0.0005050653,0.0003503262,0.0004792627,0.002376528,0.0005813215],"domain_scores_gemma":[0.9878352,0.002775195,0.0006662328,0.001472445,0.005565355,0.001685595],"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":[0.00003517609,0.00001278302,0.0001086557,0.0002230547,0.000005495988,0.00005455764,0.00003275687,0.00001028789,0.00003529901,0.002152155,0.9551463,0.04218341],"study_design_scores_gemma":[0.000007640259,0.000005807975,0.000261632,0.0003012954,0.000003605835,0.00004126175,0.00005580953,0.00001004999,0.00002836888,0.0004319137,0.9988484,0.000004100029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008783145,0.0212752,0.001213491,0.1575128,0.1410094,0.0004347877,0.01868181,0.001483256,0.6575109],"genre_scores_gemma":[0.006615643,0.02668843,0.001313825,0.082575,0.0311972,0.0006376162,0.01431667,0.001033549,0.835622],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5582315,"threshold_uncertainty_score":0.7962494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5294491149737827,"score_gpt":0.5913455986225961,"score_spread":0.06189648364881339,"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."}}