{"id":"W7100194328","doi":"","title":"Veeramany and Mangalam Population Health Metrics 2014, 12:9","year":2015,"lang":"en","type":"article","venue":"","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Metric (unit); Population; Risk assessment; Population health; Risk management; Predictive value","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":[],"consensus_categories":[],"category_scores_codex":[0.003529615,0.0005089078,0.0004577748,0.004343498,0.002356949,0.005385268,0.00107166,0.0006392066,0.013448],"category_scores_gemma":[0.01197579,0.0002810605,0.0004842177,0.006222348,0.001197229,0.001178374,0.002297329,0.0009336598,0.001141152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03380404,"about_ca_system_score_gemma":0.05168529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9135646,"about_ca_topic_score_gemma":0.9585221,"domain_scores_codex":[0.9961628,0.000647386,0.0001936956,0.0002171663,0.002430177,0.0003489123],"domain_scores_gemma":[0.9923331,0.0005446672,0.0004356885,0.0003245178,0.005527114,0.0008349912],"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":[0.00008554035,0.00008306224,0.1404874,0.0008992521,0.0001960523,0.000144371,0.001849996,0.005391969,0.0004278797,0.09243902,0.4079943,0.3500011],"study_design_scores_gemma":[0.00003252586,0.00009279355,0.3022304,0.001434159,0.0001200333,0.0002333866,0.004180104,0.006962464,0.0007417695,0.02138248,0.6624704,0.0001195592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07886416,0.04113678,0.03044426,0.1501085,0.00206606,0.001186071,0.07161894,0.0008409657,0.6237343],"genre_scores_gemma":[0.7436684,0.02699266,0.05488703,0.003895198,0.0006090846,0.0006121967,0.02086843,0.0002950806,0.1481721],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9135646,"threshold_uncertainty_score":0.2452667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2137851593666158,"score_gpt":0.5306119981498101,"score_spread":0.3168268387831943,"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."}}