{"id":"W6913002064","doi":"10.5683/sp3/11asfv","title":"Search for Canadian Measles Vaccine Atlas","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"MEDLINE; Measles vaccine; Atlas (anatomy); CINAHL; Measles; Web of science; Measles-Mumps-Rubella Vaccine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003539157,0.004247383,0.009059766,0.04373673,0.002970812,0.004865134,0.005606835,0.003064909,0.3172697],"category_scores_gemma":[0.03643715,0.001754506,0.004516095,0.07583117,0.001124575,0.002964688,0.004239296,0.002665403,0.04658411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03283443,"about_ca_system_score_gemma":0.1046544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.72787,"about_ca_topic_score_gemma":0.7778338,"domain_scores_codex":[0.9949647,0.0005416767,0.002024272,0.0007659534,0.001195033,0.000508424],"domain_scores_gemma":[0.9772599,0.005395345,0.003348296,0.0008306291,0.01216745,0.000998405],"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":[0.0003076562,0.00001797373,0.0003859845,0.1797692,0.0004132299,0.00008004038,0.0001657987,0.0002557382,0.0002537038,0.002861477,0.7988285,0.0166607],"study_design_scores_gemma":[0.001213755,0.00006267364,0.005135637,0.1095171,0.001856539,0.0001233227,0.0002227139,0.0002238803,0.0002536673,0.001670727,0.8795636,0.000156472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007829653,0.003613713,0.00008950011,0.0004289733,0.00006188911,0.001233138,0.9879033,0.0001510276,0.006440184],"genre_scores_gemma":[0.003174098,0.03088375,0.004350594,0.002111161,0.0001187743,0.01933089,0.9235188,0.0004890124,0.01602284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3172697,"threshold_uncertainty_score":0.9738318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04936311358751656,"score_gpt":0.3166766814981948,"score_spread":0.2673135679106783,"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."}}