{"id":"W2899402063","doi":"10.1159/000493119","title":"Prescription Drug Shortages: Impact on Neonatal Intensive Care","year":2018,"lang":"en","type":"article","venue":"Neonatology","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Economic shortage; Medicine; Medical prescription; Interquartile range; Drug; Internal medicine; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002210374,0.0001488076,0.0002535204,0.001678447,0.0004176154,0.0008482481,0.000387006,0.0003150348,0.004078339],"category_scores_gemma":[0.01398214,0.0001633276,0.0003573021,0.002437391,0.0003107915,0.001227079,0.001460136,0.0006913784,0.0003311552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918681,"about_ca_system_score_gemma":0.002691723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01642267,"about_ca_topic_score_gemma":0.02063582,"domain_scores_codex":[0.9980543,0.0004320626,0.000472159,0.000195165,0.000582436,0.0002640544],"domain_scores_gemma":[0.980431,0.003713482,0.01234326,0.0001831468,0.001977359,0.001351801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008583014,0.00004129147,0.9618849,0.0005220436,0.00005324316,0.000439929,0.0004841495,0.0002670022,0.0001193529,0.000314957,0.003852744,0.03193456],"study_design_scores_gemma":[0.000004338071,0.00005982563,0.9900383,0.0007559507,0.00002724005,0.0006995799,0.001403298,0.0004797441,0.0001361562,0.0002046073,0.006182176,0.00000879621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503757,0.02661708,0.0004890488,0.009375877,0.000132599,0.00006869914,0.004822777,0.0000304907,0.008087792],"genre_scores_gemma":[0.9816768,0.01320399,0.0006165319,0.001690332,0.000180262,0.0000457837,0.002094688,0.00001109583,0.0004805555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01642267,"threshold_uncertainty_score":0.03265417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03868174867916779,"score_gpt":0.3120647126129685,"score_spread":0.2733829639338007,"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."}}