{"id":"W7095717852","doi":"","title":"Acknowledgements","year":2003,"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":"Newspaper; Medical prescription; Prescription drug; Government (linguistics)","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":[0.006743345,0.0008670449,0.001427597,0.003142627,0.002348639,0.003169106,0.002678195,0.001504785,0.438358],"category_scores_gemma":[0.05743651,0.0002961993,0.0006679702,0.003210842,0.000848998,0.001266575,0.003367489,0.002539593,0.2100619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00529924,"about_ca_system_score_gemma":0.01413576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05857347,"about_ca_topic_score_gemma":0.06643042,"domain_scores_codex":[0.9910001,0.001363287,0.000576939,0.0008150021,0.005325016,0.000919614],"domain_scores_gemma":[0.9063918,0.007208234,0.001777995,0.003498476,0.06996538,0.01115817],"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":[0.0001009398,0.00001852663,0.0008857861,0.0002015523,0.000007089079,0.0001814111,0.0005577604,0.00009593377,0.0007246411,0.005613639,0.9659847,0.02562805],"study_design_scores_gemma":[0.00002674372,0.000011587,0.001507203,0.000219376,0.000009337952,0.0002089445,0.0006789622,0.0001071129,0.0002143144,0.001414376,0.9955888,0.00001321517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006155697,0.007456695,0.01724828,0.2159113,0.1268604,0.002814933,0.1742772,0.004325043,0.4449504],"genre_scores_gemma":[0.04155556,0.003994955,0.01698706,0.03665135,0.009385401,0.002326978,0.06290374,0.002334909,0.8238599],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.561642,"threshold_uncertainty_score":0.8011141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5839259160185113,"score_gpt":0.6018478844881386,"score_spread":0.01792196846962735,"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."}}