{"id":"W7018183250","doi":"","title":"Communicating post-market safety risks of medicines with regulatory safety advisories: an international comparison of policy and perceptions","year":2021,"lang":"en","type":"dissertation","venue":"The Sydney eScholarship Repository (The University of Sydney)","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; Australian Government; Canadian Institutes of Health Research; Arnold Ventures; Australian Commission on Safety and Quality in Health Care; Harvard University","keywords":"Government (linguistics); Work (physics); Limiting; Nucleofection; Population","routes":{"ca_aff":false,"ca_fund":true,"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":[0.02899775,0.0002368797,0.0004608182,0.002578291,0.002815974,0.007384823,0.0008075144,0.001785908,0.003972977],"category_scores_gemma":[0.06397762,0.0005019258,0.0006598819,0.002778866,0.007316459,0.007894046,0.004294757,0.003705004,0.0003742891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007981143,"about_ca_system_score_gemma":0.009562989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206691,"about_ca_topic_score_gemma":0.01070371,"domain_scores_codex":[0.9787142,0.01144246,0.00191061,0.001049596,0.004842606,0.002040638],"domain_scores_gemma":[0.9166881,0.05272062,0.01696183,0.001722462,0.008036956,0.003870065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001387139,0.0001433458,0.06603573,0.0004674888,0.00004733846,0.0002694599,0.9042407,0.00008305092,0.0005245137,0.005989938,0.001247013,0.02081263],"study_design_scores_gemma":[0.0000229729,0.0002455577,0.09199829,0.0009598967,0.00004079839,0.0002164734,0.8885069,0.0002105715,0.0003529878,0.0006089926,0.016768,0.00006847891],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978511,0.001067475,0.0004913053,0.004472265,0.00007725052,0.0000869267,0.0001095746,0.0000092278,0.01517487],"genre_scores_gemma":[0.9969722,0.001054843,0.0002067033,0.000879225,0.00001955872,0.00005063493,0.00004931313,0.00001051509,0.0007569981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02899775,"threshold_uncertainty_score":0.1533566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581130194877525,"score_gpt":0.2681153513125481,"score_spread":0.2423040493637728,"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."}}