{"id":"W2912925918","doi":"10.1037/e507502013-071","title":"Central Analytics@PHO: Creating a Web-based Platform to Provide Central Analytics for Key Public Health Status Indicators in Ontario","year":2012,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Analytics; Key (lock); Web analytics; Data science; World Wide Web; Computer science; Business; Web service; Computer security; Web development; Web intelligence","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","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004218914,0.0009647359,0.001603143,0.002786491,0.00141743,0.0001939258,0.001314819,0.001096884,0.002755355],"category_scores_gemma":[0.001863288,0.0009431078,0.0002161364,0.002003081,0.0001166498,0.0006479387,0.0003367885,0.003262901,0.0003354478],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0107052,"about_ca_system_score_gemma":0.03783849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5302339,"about_ca_topic_score_gemma":0.841684,"domain_scores_codex":[0.9862177,0.0006700963,0.003170838,0.001251963,0.0009850048,0.007704346],"domain_scores_gemma":[0.9894751,0.001285415,0.001991561,0.002160138,0.0001957646,0.00489201],"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":[0.00016433,0.0007687549,0.0296963,0.002228856,0.00009137006,0.000002722241,0.002795822,0.00004019137,2.172107e-7,0.0001289966,0.9629494,0.001133065],"study_design_scores_gemma":[0.002336374,0.0002859343,0.0296584,0.0005821849,0.0001124907,0.000001710873,0.001542071,0.0003562297,1.888281e-7,0.0000188696,0.9643224,0.0007831713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002303482,0.0001284097,0.0002546793,0.009553152,0.003280013,0.005916507,0.978389,0.00008207739,0.0000926615],"genre_scores_gemma":[0.0008561185,0.0001622531,0.001666505,0.02190694,0.001714737,0.001336378,0.9720288,0.0001045624,0.0002237088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3114501,"threshold_uncertainty_score":0.9998826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1452537058683664,"score_gpt":0.4518036599178022,"score_spread":0.3065499540494359,"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."}}