{"id":"W6960779405","doi":"10.1371/journal.pone.0293497.g001","title":"Trends in monthly purchases for hydralazine between Jan 2016 –Dec 2021 in Canada.","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydralazine; Economic shortage; Drug; Purchasing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009033937,0.0003505885,0.0004702685,0.0008460712,0.00002514039,0.00007494273,0.001396977,0.0001496045,0.05219609],"category_scores_gemma":[0.0001097146,0.0003621958,0.00009222907,0.001159115,0.000003774,0.0001022849,0.0005399028,0.0001779877,0.0004942093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008082503,"about_ca_system_score_gemma":0.0006535336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3984964,"about_ca_topic_score_gemma":0.9821212,"domain_scores_codex":[0.9977767,0.00005593905,0.000370932,0.000783094,0.0003729575,0.0006404151],"domain_scores_gemma":[0.9985201,0.000237301,0.0002145738,0.0008802498,0.00002144879,0.0001263711],"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":[0.000001089837,0.000009577323,0.00009799742,0.00007971926,0.00002073863,0.0001386444,0.000009805249,0.0005393234,2.533892e-8,0.00001037882,0.8819479,0.1171448],"study_design_scores_gemma":[0.0004458173,0.00002808966,0.002313287,0.002962609,0.000005488748,1.330823e-7,0.000003994482,0.006524567,0.000003664751,0.00001892251,0.9873118,0.000381654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000006223445,0.003598235,0.0002773625,0.002000949,0.001132503,0.003319276,0.7224979,0.0008272761,0.2663403],"genre_scores_gemma":[0.001041653,0.00004672998,0.001066505,0.0005186785,0.001476154,0.004876622,0.1999115,0.001102075,0.7899601],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5836247,"threshold_uncertainty_score":0.999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03425482782415451,"score_gpt":0.2489733690285816,"score_spread":0.214718541204427,"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."}}