{"id":"W6931181432","doi":"10.5281/zenodo.4601833","title":"Ontario COVID-19 vaccination tracking","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Biotin and Related Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Population; Vaccination; Government (linguistics); Visualization; Tracking (education)","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":[],"category_scores_codex":[0.001247315,0.0009214244,0.0007428285,0.00281595,0.001957519,0.00182649,0.001545184,0.0005842399,0.4475566],"category_scores_gemma":[0.007298724,0.0008220737,0.00064535,0.005418002,0.0004288804,0.001091388,0.0013853,0.0006662856,0.1962461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01421683,"about_ca_system_score_gemma":0.02313531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8308875,"about_ca_topic_score_gemma":0.9089197,"domain_scores_codex":[0.9988606,0.00006567858,0.00007435001,0.0001932853,0.0006391246,0.0001671005],"domain_scores_gemma":[0.9940102,0.0005572858,0.0003316876,0.0006016119,0.003850079,0.0006492205],"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":[0.00004796423,0.000006317066,0.001459062,0.0001756829,0.000004301694,0.00002129171,0.0001060092,0.000150157,0.0002650179,0.0009869286,0.981213,0.01556423],"study_design_scores_gemma":[0.00003045164,0.000006447778,0.006237957,0.0001142316,0.00000812244,0.00002943017,0.00007075143,0.000399799,0.0003335571,0.0004276967,0.9923189,0.00002263283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001407889,0.0002184302,0.005029286,0.0006733889,0.000183135,0.0003581475,0.8285137,0.01076305,0.152853],"genre_scores_gemma":[0.0135681,0.0008191122,0.02580906,0.0006194079,0.00008014162,0.001040841,0.7194251,0.01078191,0.2278564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4475566,"threshold_uncertainty_score":0.7879934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04227241549927495,"score_gpt":0.2956982082622739,"score_spread":0.253425792762999,"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."}}