{"id":"W7004763196","doi":"","title":"Official statistics : Health visitor service delivery metrics (experimental statistics) : Quarter 1 2019/20 statistical commentary (November 2019)","year":2019,"lang":"en","type":"other","venue":"Digital Education Resource Archive (University College London)","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Public health; Agency (philosophy); Health statistics; Visitor pattern; Service delivery framework; Official statistics; Health services","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":["insufficient_payload"],"category_scores_codex":[0.0001358193,0.0004561366,0.0005713929,0.0002775183,0.0003440524,0.000121507,0.0007808039,0.0002588415,0.00160301],"category_scores_gemma":[0.00004721181,0.0003142614,0.0001056667,0.0006467441,0.0002228813,0.0001513816,0.0004515419,0.0005229625,0.001230502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000308022,"about_ca_system_score_gemma":0.0005069498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00417828,"about_ca_topic_score_gemma":0.003498089,"domain_scores_codex":[0.9971576,0.0004402197,0.0003069446,0.000806621,0.0006132159,0.0006754362],"domain_scores_gemma":[0.9978514,0.000927993,0.0003596842,0.000233222,0.00014079,0.0004869416],"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":[0.0002470289,0.0006985251,0.0005131587,0.00004155626,0.0001304495,0.00005155188,0.0001391267,0.000001771278,0.0002919871,0.002142806,0.9869452,0.008796891],"study_design_scores_gemma":[0.0005358032,0.0006111225,0.002651618,0.00008046011,0.00003449588,0.0000196947,0.002686996,0.0002581143,0.000005523646,0.00007050349,0.9924997,0.0005459595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01696433,0.001422981,0.004740513,0.01265926,0.001262168,0.003707135,0.8879965,0.0003461099,0.07090099],"genre_scores_gemma":[0.006411885,0.0002427354,0.008971859,0.008815923,0.0014416,0.00001640422,0.2493562,0.0001152436,0.7246282],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6537272,"threshold_uncertainty_score":0.9999309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008078952931386748,"score_gpt":0.2287574218881291,"score_spread":0.2206784689567423,"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."}}